Xingting Liu | Animal Reproductive Biology | Innovative Research Award

Published on by Zoology Honour

Innovative Research Award

Xingting Liu
Guangxi University
Xingting Liu
Affiliation Guangxi University
Country China
Scopus ID 57200946619
Documents 24
Citations 603
h-index 10
Subject Area Poultry
Event Zoology Honour Awards
ORCID 0000-0002-6312-4786

Xingting Liu is a researcher affiliated with Guangxi University, China, whose scholarly activities focus on poultry science and related zoological research. Through peer-reviewed publications, measurable citation impact, and contributions to animal science, the researcher has established a visible academic profile suitable for consideration within international research recognition programs.[1]

Abstract

This article presents an academic overview of Xingting Liu, highlighting research activities, publication record, citation performance, and contributions within poultry science. Available scholarly indicators demonstrate active participation in scientific research and knowledge dissemination relevant to zoology and animal production studies.[1][2]

Keywords

Poultry Science, Animal Nutrition, Zoology, Research Impact, Scholarly Publications, Citation Analysis, Academic Recognition, Guangxi University, Scopus Author Profile, Innovative Research Award.[1]

Introduction

Xingting Liu has contributed to research activities associated with poultry science and animal-based investigations. Academic output indexed through international databases reflects engagement in scientific inquiry, collaboration, and dissemination of findings relevant to zoology, livestock management, and agricultural development. The researcher maintains a measurable scholarly presence within the field.[1]

Research Profile

Affiliated with Guangxi University in China, Xingting Liu has developed a research profile characterized by peer-reviewed publications and sustained citation activity. Indexed records indicate 24 scholarly documents, 603 citations, and an h-index of 10, demonstrating recognized engagement with topics connected to poultry and animal science research.[1][3]

Research Contributions

Research contributions attributed to Xingting Liu include studies addressing poultry production, animal health, nutrition, and biological performance. Such work contributes to the broader understanding of efficient livestock management and supports evidence-based approaches for improving productivity, sustainability, and scientific knowledge within zoological and agricultural disciplines.[2][4]

Publications

The researcher’s publication portfolio consists of journal articles indexed by recognized scholarly databases. These publications address scientific questions within poultry science and related areas. Citation accumulation across the publication record suggests that several studies have been referenced by subsequent researchers and incorporated into ongoing academic discussions.[1][4]

Research Impact

Citation metrics provide evidence of scholarly visibility and influence. With more than six hundred citations and a documented h-index, Xingting Liu’s research has achieved measurable engagement within the scientific community. These indicators suggest that published findings have contributed to knowledge development and informed subsequent investigations.[1][3]

Award Suitability

The combination of indexed publications, citation performance, institutional affiliation, and demonstrated research activity indicates suitability for consideration within the Innovative Research Award category. Evaluation may further consider publication quality, scientific relevance, contribution to poultry science, and alignment with the objectives of the Zoology Honour Awards.[1][5]

Conclusion

Xingting Liu represents an active researcher whose academic record demonstrates participation in poultry-related scientific inquiry. Available metrics and publication evidence indicate a sustained contribution to scholarly communication. Continued research output and engagement with emerging scientific challenges may further strengthen future academic impact and recognition.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Xingting Liu, Author ID 57200946619. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=57200946619

  2. ORCID. (n.d.). Xingting Liu Research Profile.

    https://orcid.org/0000-0002-6312-4786

  3. Zhang, L., Chen, Z., Zhang, Y., Yang, M., Pu, L., Tan, H., Xu, H., Ran, M., Liu, X., & Lu, Y. (2026). Effects of dietary supplementation with polyphenolic extracts from Lasia spinosa Thw. roots on reproductive performance in Guangxi Ma roosters. Poultry Science, 105(6), 106813.

    https://www.researchgate.net/publication/402559051

  4. Zhang, L., Chen, Z., Yang, M., Sun, H., Lan, M., Yu, L., Tan, H., Xu, H., Liu, X., Ran, M., & Lu, Y. (2026). Effects of quercetin on rooster reproduction: Quercetin upregulates steroid hormone biosynthesis to enhance reproductive performance in roosters. Poultry Science, 105(4), 106590.

    https://www.researchgate.net/publication/400419630

  5. Zoology Honour Awards. (n.d.). Award Information and Evaluation Framework.

    https://zoologyhonour.com

Xin Zong | Animal Communication | Animal Science Innovator Award

Published on by Zoology Honour

Prof. Xin Zong | Animal Communication | Animal Science Innovator Award

Professor | Zhejiang University | China

Prof. Zong Xin is a highly impactful researcher in molecular biology, microbiome science, immunometabolism, and translational biomedicine, with a strong emphasis on host–microbe interactions, inflammatory signaling, and metabolic regulation. The scholar has produced 40 indexed publications, 2,247 citations, and an h-index of 28, reflecting sustained global influence and scientific consistency. Recent work spans obesity biology, reproductive microbiota, macrophage translational control, and inflammasome-mediated cell death, demonstrating broad interdisciplinary collaboration across 128 co-authors. This research contributes meaningfully to advances in precision health, metabolic disease intervention, and animal-biomedical sciences, with clear societal relevance for improving disease prevention, therapeutic innovation, and evidence-based bioscience applications.

Citation Metrics (Scopus)

2247
600
400
200
0

Citations

2247

Documents

40

h-index

28

Citations

Documents

h-index

View Scopus Profile
    View ORCID Profile
     View ResearchGate Profile

Featured Publications

Gregory Schwartz | Animal Behavior | Best Researcher Award

Published on by Zoology Honour

Dr. Gregory Schwartz | Vision, Social Behavior | Best Researcher Award

Associate Professor at Northwestern University, United States

Dr. Gregory William Schwartz is an Associate Professor of Ophthalmology and Neuroscience at Northwestern University, where he investigates how the retina processes visual information. A leader in the field of retinal computation, his research bridges molecular biology, electrophysiology, and computational neuroscience. Schwartz began his academic journey with degrees in Computer Science and Neuroscience from Brandeis University, followed by a Ph.D. in Molecular Biology and Neuroscience at Princeton. His postdoctoral training at the University of Washington shaped his interest in neural circuit dynamics. Since establishing his lab, Schwartz has made foundational contributions to understanding nonlinear spatial encoding, gap junctions in ganglion cells, and how retinal circuits contribute to behavior. He is the recipient of numerous prestigious awards, including the NIH New Innovator Award and the World Economic Forum Young Scientist honor. Deeply committed to mentoring and education, Schwartz also directs Northwestern’s interdepartmental neuroscience graduate program and has authored a landmark textbook, Retinal Computation.

Professional Profiles📖

Education 🎓

Dr. Gregory Schwartz’s education reflects a unique fusion of computational and biological sciences. At Brandeis University, he completed a B.A. in Computer Science, a B.S. in Neuroscience, and an M.S. in Neuroscience—all in 2003. These parallel degrees laid the groundwork for his integrative approach to understanding neural circuits. His doctoral work at Princeton University (Ph.D., 2008) in Molecular Biology and Neuroscience was mentored by Michael Berry and explored visual processing in the retina. Following his Ph.D., Schwartz pursued postdoctoral research with Fred Rieke at the University of Washington in the Department of Physiology and Biophysics, deepening his expertise in electrophysiological approaches to neural computation. His academic path has equipped him with the rare ability to bridge genetic, anatomical, and computational techniques, which he now applies to explore visual signal processing in the retina. Schwartz’s training has fostered a career defined by cross-disciplinary innovation and educational leadership.

Work Experience💼

Dr. Schwartz began his academic career as an Assistant Professor at Northwestern University in 2013 and was promoted to Associate Professor in 2019. He holds joint appointments in the Departments of Ophthalmology and Neuroscience and has held the prestigious Derrick T. Vail Chair since 2019. In addition to his research leadership, Schwartz has been deeply involved in graduate education, serving as Associate Director of Northwestern’s Interdepartmental Neuroscience Program (NUIN) from 2021 to 2023, and Director since 2023. His professional journey includes earlier roles as a postdoctoral researcher at the University of Washington and Princeton University. He began his research career as an undergraduate assistant in the Brandeis Neuroscience Department and even worked briefly as a computer programmer. His career has been consistently marked by a commitment to mentorship, scientific rigor, and interdisciplinary collaboration. Schwartz also actively participates in NIH study sections and national mentoring initiatives, shaping the future of neuroscience.

Awards and Honors 🏆

Dr. Schwartz has earned numerous awards recognizing both his scientific innovation and educational impact. In 2015, he received the highly competitive NIH New Innovator Award, supporting early-career researchers with bold ideas. He was selected as a World Economic Forum Young Scientist in 2016–2017, highlighting his global influence in neuroscience. Schwartz’s other accolades include the Derrick T. Vail Chair in Ophthalmology (2019), Research to Prevent Blindness Career Development Award (2014), and the Karl Kirchgessner Foundation Vision Research Grant (2014). He was a Helen Hay Whitney Foundation Fellow from 2010–2013, a testament to his outstanding postdoctoral work. Earlier honors include the VNS Young Investigator Award (2012), Thomas J. Silhavy Award (2007), and a suite of academic distinctions from Brandeis, such as the Shalom Prize, Michtom Award, Phi Beta Kappa, and NSF IGERT fellowships. These recognitions underscore Schwartz’s leadership in vision research, mentorship, and interdisciplinary scholarship.

Skills💡

Dr. Schwartz brings a rare combination of technical, experimental, and leadership skills to his neuroscience research. He is highly proficient in electrophysiology, especially in recording retinal responses in ex vivo preparations. His training in molecular biology allows precise genetic targeting of neuronal subtypes, enabling fine-grained circuit dissection. With a background in computer science, he employs computational modeling and advanced statistical methods to interpret large-scale neural data. His skillset also includes fluorescence imaging, optogenetics, and transcriptomics. As a mentor, Schwartz emphasizes active listening, clear communication, and inclusion, drawing on formal training from programs like CIMER. In education, he excels in scientific writing and oral communication, teaching data analysis and vision science at both graduate and medical levels. His ability to integrate technical mastery with leadership has earned him recognition as both a scientist and educator, equipping him to train the next generation of interdisciplinary neuroscientists.

Research Focus 🔬

Dr. Schwartz investigates the neural computations underlying visual perception, focusing on how retinal circuits encode and transmit complex information. His lab explores how specific ganglion cells process spatial and temporal features of the visual environment and how gap junctions and cell coupling influence sensory signaling. A hallmark of his research is using natural light stimuli in ex vivo retinal preparations, allowing insights into intact circuit function. His work has broadened into transcriptomics, subconscious social behavior, and neurovascular coupling, with implications for both basic neuroscience and disease modeling. Schwartz is currently funded by NIH and the Juvenile Diabetes Research Foundation to study retinal coupling and diabetic retinopathy using novel physiological preparations. He also collaborates with engineers to translate retinal principles into neuromorphic hardware and vision algorithms. His ultimate goal is to decode the circuit-level rules that govern perception and behavior, combining computation, genetics, and physiology to build comprehensive models of vision.

Conclusion

Dr. Gregory W. Schwartz demonstrates a rare blend of scientific innovation, educational leadership, and institutional service. His work has reshaped fundamental concepts in vision neuroscience, with ripple effects in computational modeling, bioengineering, and clinical ophthalmology. Given his pioneering research, sustained mentorship, and scholarly output, he is strongly recommended as a highly suitable candidate for the Best Researcher Award.

Publications Top Notes📚

🧠 Visual space is represented by nonmatching topographies of distinct mouse retinal ganglion cell types
Authors: A Bleckert, GW Schwartz, MH Turner, F Rieke, ROL Wong
Journal: Current Biology, 2014
📈 Citations: 279

🌀 The spatial structure of a nonlinear receptive field
Authors: GW Schwartz, H Okawa, FA Dunn, JL Morgan, D Kerschensteiner, et al.
Journal: Nature Neuroscience, 2012
📈 Citations: 234

🧬 Unified classification of mouse retinal ganglion cells using function, morphology, and gene expression
Authors: J Goetz, ZF Jessen, A Jacobi, A Mani, S Cooler, D Greer, S Kadri, J Segal, et al.
Journal: Cell Reports, 2022
📈 Citations: 171

🔍 The synaptic and circuit mechanisms underlying a change in spatial encoding in the retina
Authors: WN Grimes, GW Schwartz, F Rieke
Journal: Neuron, 2014
📈 Citations: 141

🔄 Synchronized firing among retinal ganglion cells signals motion reversal
Authors: G Schwartz, S Taylor, C Fisher, R Harris, MJ Berry
Journal: Neuron, 2007
📈 Citations: 137

📊 Detection and prediction of periodic patterns by the retina
Authors: G Schwartz, R Harris, D Shrom, MJ Berry
Journal: Nature Neuroscience, 2007
📈 Citations: 132

🧠 Shadows of the past: Temporal retrieval effects in recognition memory
Authors: G Schwartz, MW Howard, B Jing, MJ Kahana
Journal: Psychological Science, 2005
📈 Citations: 127

⚡ Nonlinear spatiotemporal integration by electrical and chemical synapses in the retina
Authors: SP Kuo, GW Schwartz, F Rieke
Journal: Neuron, 2016
📈 Citations: 112

📐 Cardinal orientation selectivity is represented by two distinct ganglion cell types in mouse retina
Authors: A Nath, GW Schwartz
Journal: Journal of Neuroscience, 2016
📈 Citations: 101

🎯 Three small-receptive-field ganglion cells in the mouse retina are distinctly tuned to size, speed, and object motion
Authors: J Jacoby, GW Schwartz
Journal: Journal of Neuroscience, 2017
📈 Citations: 98

🔬 The dynamic receptive fields of retinal ganglion cells
Authors: S Wienbar, GW Schwartz
Journal: Progress in Retinal and Eye Research, 2018
📈 Citations: 89

💡 Electrical synapses convey orientation selectivity in the mouse retina
Authors: A Nath, GW Schwartz
Journal: Nature Communications, 2017
📈 Citations: 86

🌐 Receptive field center-surround interactions mediate context-dependent spatial contrast encoding in the retina
Authors: MH Turner, GW Schwartz, F Rieke
Journal: eLife, 2018
📈 Citations: 80

🧪 Molecular signatures of retinal ganglion cells revealed through single cell profiling
Authors: LA Laboissonniere, JJ Goetz, GM Martin, R Bi, TJS Lund, L Ellson, et al.
Journal: Scientific Reports, 2019
📈 Citations: 76