Fang Zou

1.6k total citations · 1 hit paper
25 papers, 1.0k citations indexed

About

Fang Zou is a scholar working on Genetics, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Fang Zou has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Endocrine and Autonomic Systems. Recurrent topics in Fang Zou's work include Diabetes and associated disorders (7 papers), Regulation of Appetite and Obesity (4 papers) and T-cell and B-cell Immunology (4 papers). Fang Zou is often cited by papers focused on Diabetes and associated disorders (7 papers), Regulation of Appetite and Obesity (4 papers) and T-cell and B-cell Immunology (4 papers). Fang Zou collaborates with scholars based in China, United States and Germany. Fang Zou's co-authors include Yong Xu, Liangru Zhu, SA Khan, Deborah J. Clegg, Lisa Hahner, Boman G. Irani, Nasim C. Sobhani, Joel K. Elmquist, Xiaorui Zhang and Kathryn E. Davis and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Cell Metabolism.

In The Last Decade

Fang Zou

22 papers receiving 1.0k citations

Hit Papers

Distinct Hypothalamic Neurons Mediate Estrogenic Effects ... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fang Zou China 14 429 338 196 195 191 25 1.0k
Lana M. Gent United States 6 304 0.7× 360 1.1× 180 0.9× 277 1.4× 223 1.2× 6 1.0k
Frederick Wasinski Brazil 20 351 0.8× 302 0.9× 151 0.8× 77 0.4× 319 1.7× 53 1.0k
Ismael González‐García Spain 19 513 1.2× 743 2.2× 390 2.0× 109 0.6× 167 0.9× 36 1.4k
Do Kyeong Song South Korea 14 167 0.4× 185 0.5× 130 0.7× 82 0.4× 108 0.6× 31 742
Shiro Minami Japan 27 535 1.2× 306 0.9× 368 1.9× 134 0.7× 768 4.0× 82 1.7k
Daniel Beiroa Spain 16 318 0.7× 511 1.5× 344 1.8× 58 0.3× 239 1.3× 30 1.1k
Véronique Lenoir France 20 126 0.3× 280 0.8× 391 2.0× 81 0.4× 108 0.6× 34 999
Kevin W. Aylor United States 26 120 0.3× 379 1.1× 537 2.7× 182 0.9× 389 2.0× 44 1.6k
Marianna Sadagurski United States 18 207 0.5× 302 0.9× 282 1.4× 68 0.3× 224 1.2× 43 959
John A. Tadross United Kingdom 14 253 0.6× 265 0.8× 330 1.7× 88 0.5× 248 1.3× 27 901

Countries citing papers authored by Fang Zou

Since Specialization
Citations

This map shows the geographic impact of Fang Zou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fang Zou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Zou more than expected).

Fields of papers citing papers by Fang Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang Zou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fang Zou. The network helps show where Fang Zou may publish in the future.

Co-authorship network of co-authors of Fang Zou

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Zou. A scholar is included among the top collaborators of Fang Zou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang Zou. Fang Zou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Luo, Junming, et al.. (2025). Integration of multi-omics data and machine learning to identify antioxidant biomarkers in type 1 diabetes. Free Radical Biology and Medicine. 236. 41–56. 1 indexed citations
2.
Liu, Terry Z., et al.. (2025). A trend of osteocalcin in diabetes mellitus research: bibliometric and visualization analysis. Frontiers in Endocrinology. 15. 1475214–1475214. 2 indexed citations
4.
Luo, Junming, et al.. (2024). Targeting the autoreactive CD8+ T-cell receptor in type 1 diabetes: Insights from scRNA-seq for immunotherapy. Pharmacological Research. 209. 107433–107433.
5.
Zou, Fang, et al.. (2023). LncRNA MIR210HG promotes the proliferation, migration, and invasion of lung cancer cells by inhibiting the transcription of SH3GL3. The Kaohsiung Journal of Medical Sciences. 39(12). 1166–1177. 6 indexed citations
8.
Zhao, Binghao, Jiani Zhao, Qian Wu, et al.. (2020). Association of magnesium intake with type 2 diabetes and total stroke: an updated systematic review and meta-analysis. BMJ Open. 10(3). e032240–e032240. 43 indexed citations
9.
Zou, Fang, Ling Wang, Han Liu, et al.. (2019). Sophocarpine Suppresses NF-κB-Mediated Inflammation Both In Vitro and In Vivo and Inhibits Diabetic Cardiomyopathy. Frontiers in Pharmacology. 10. 1219–1219. 24 indexed citations
10.
Xu, Yong, T. Prashant Nedungadi, Liangru Zhu, et al.. (2019). Distinct Hypothalamic Neurons Mediate Estrogenic Effects on Energy Homeostasis and Reproduction. Cell Metabolism. 29(5). 1232–1232. 16 indexed citations
11.
Zhao, Binghao, Chen Lian, Fang Zou, et al.. (2019). Association of magnesium consumption with type 2 diabetes and glucose metabolism: A systematic review and pooled study with trial sequential analysis. Diabetes/Metabolism Research and Reviews. 36(3). e3243–e3243. 20 indexed citations
12.
Zou, Fang, et al.. (2017). Downregulation of cathepsin G reduces the activation of CD4+ T cells in murine autoimmune diabetes.. PubMed. 9(11). 5127–5137. 13 indexed citations
13.
Zhu, Liangru, Pingwen Xu, Xuehong Cao, et al.. (2015). The ERα-PI3K Cascade in Proopiomelanocortin Progenitor Neurons Regulates Feeding and Glucose Balance in Female Mice. Endocrinology. 156(12). 4474–4491. 32 indexed citations
14.
Zhu, Liangru, Fang Zou, Yongjie Yang, et al.. (2015). Estrogens Prevent Metabolic Dysfunctions Induced by Circadian Disruptions in Female Mice. Endocrinology. 156(6). 2114–2123. 36 indexed citations
15.
Wang, Yanping, Qiong Wei, Qiang Liu, et al.. (2013). Crosstalk between monocytes and renal mesangial cells via interaction of metalloproteinases and fractalkine in diabetic nephropathy. Molecular Medicine Reports. 8(6). 1817–1823. 6 indexed citations
16.
Xu, Yong, T. Prashant Nedungadi, Liangru Zhu, et al.. (2011). Distinct Hypothalamic Neurons Mediate Estrogenic Effects on Energy Homeostasis and Reproduction. Cell Metabolism. 14(4). 453–465. 476 indexed citations breakdown →
17.
Zou, Fang, Marcin Sieńczyk, Renata Grzywa, et al.. (2011). Application of a novel highly sensitive activity-based probe for detection of cathepsin G. Analytical Biochemistry. 421(2). 667–672. 24 indexed citations
18.
Zou, Fang, David Palesch, Alexander Beck, et al.. (2011). Regulation of Cathepsin G Reduces the Activation of Proinsulin-Reactive T Cells from Type 1 Diabetes Patients. PLoS ONE. 6(8). e22815–e22815. 22 indexed citations
19.
Zou, Fang, et al.. (2009). Effects of dietary fat sources on growth and postprandial lipid and glucose metabolism in rats.. Dongwu yingyang xuebao. 21(5). 769–776.
20.
Zou, Fang, Yan Liu, Li Liu, et al.. (2007). Retinoic acid activates human inducible nitric oxide synthase gene through binding of RARα/RXRα heterodimer to a novel retinoic acid response element in the promoter. Biochemical and Biophysical Research Communications. 355(2). 494–500. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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