Fude Fang

3.5k total citations · 1 hit paper
79 papers, 2.9k citations indexed

About

Fude Fang is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Fude Fang has authored 79 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 18 papers in Physiology and 15 papers in Surgery. Recurrent topics in Fude Fang's work include Adipose Tissue and Metabolism (15 papers), Metabolism, Diabetes, and Cancer (11 papers) and Pancreatic function and diabetes (8 papers). Fude Fang is often cited by papers focused on Adipose Tissue and Metabolism (15 papers), Metabolism, Diabetes, and Cancer (11 papers) and Pancreatic function and diabetes (8 papers). Fude Fang collaborates with scholars based in China, United States and Germany. Fude Fang's co-authors include Yongsheng Chang, Huabing Zhang, Xingxing Kong, Xiaojun Liu, Yuan Xue, Nishith Gupta, Aibin He, Liuluan Zhu, Rui Wang and Yong Chen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Fude Fang

79 papers receiving 2.8k citations

Hit Papers

Sirtuin 3, a New Target of PGC-1α, Plays an Important Rol... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fude Fang China 26 1.6k 796 561 557 453 79 2.9k
Marı́a Monsalve Spain 33 2.7k 1.7× 1.3k 1.6× 524 0.9× 745 1.3× 415 0.9× 66 4.6k
Hai‐Bin Ruan United States 27 1.9k 1.2× 1000 1.3× 244 0.4× 612 1.1× 189 0.4× 51 3.3k
Wenjuan He United States 13 1.5k 0.9× 1.4k 1.8× 292 0.5× 537 1.0× 871 1.9× 23 3.2k
Josep A. Villena Spain 27 1.7k 1.1× 1.5k 1.8× 240 0.4× 691 1.2× 224 0.5× 42 3.3k
Susanne Schuster Germany 20 977 0.6× 398 0.5× 318 0.6× 1.1k 1.9× 345 0.8× 27 2.5k
Eric S. Goetzman United States 25 2.0k 1.2× 1.4k 1.7× 469 0.8× 841 1.5× 1.2k 2.7× 81 3.8k
Christopher J. Walkey Canada 17 2.5k 1.5× 1.3k 1.7× 304 0.5× 931 1.7× 163 0.4× 28 3.9k
Yun Chau Long Singapore 25 1.8k 1.1× 857 1.1× 264 0.5× 567 1.0× 137 0.3× 42 2.8k
Fatima Djouadi France 30 1.9k 1.2× 862 1.1× 227 0.4× 293 0.5× 179 0.4× 64 2.8k
Antje Garten Germany 24 1.1k 0.6× 1.0k 1.3× 265 0.5× 1.3k 2.3× 1.1k 2.5× 67 3.5k

Countries citing papers authored by Fude Fang

Since Specialization
Citations

This map shows the geographic impact of Fude Fang'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 Fude Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fude Fang more than expected).

Fields of papers citing papers by Fude Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fude Fang. 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 Fude Fang. The network helps show where Fude Fang may publish in the future.

Co-authorship network of co-authors of Fude Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Fude Fang. A scholar is included among the top collaborators of Fude Fang 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 Fude Fang. Fude Fang 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.
Zhang, Minglong, Xianghong Xie, Weihong Zhang, et al.. (2025). The ribonucleoprotein hnRNP K promotes hepatic steatosis by suppressing the nuclear hormone receptor PPARα. Journal of Biological Chemistry. 301(9). 110500–110500. 1 indexed citations
2.
Zhao, Wei, Qiang Xu, Chunmei Li, et al.. (2022). Murine double minute 2 aggravates adipose tissue dysfunction through ubiquitin-mediated six-transmembrane epithelial antigen of prostate 4 degradation. iScience. 25(7). 104544–104544. 9 indexed citations
3.
Lin, Suzhen, Lu He, Ruqin Shen, et al.. (2020). Identification of the CD200R1 promoter and the association of its polymorphisms with the risk of Parkinson’s disease. European Journal of Neurology. 27(7). 1224–1230. 5 indexed citations
4.
Yang, Xiaoying, Lihong Sun, Huabing Zhang, et al.. (2017). KLF10 transcription factor regulates hepatic glucose metabolism in mice. Diabetologia. 60(12). 2443–2452. 32 indexed citations
5.
Zhang, Yinliang, Chao Geng, Xiaoyan Liu, et al.. (2016). Celastrol ameliorates liver metabolic damage caused by a high-fat diet through Sirt1. Molecular Metabolism. 6(1). 138–147. 107 indexed citations
6.
Zou, Yongkang, Ying Cui, Xiaojuan Wang, et al.. (2015). Forkhead Box P1 (FOXP1) Transcription Factor Regulates Hepatic Glucose Homeostasis. Journal of Biological Chemistry. 290(51). 30607–30615. 24 indexed citations
7.
Liang, Jichao, Changzheng Liu, Aijun Qiao, et al.. (2012). MicroRNA-29a-c decrease fasting blood glucose levels by negatively regulating hepatic gluconeogenesis. Journal of Hepatology. 58(3). 535–542. 91 indexed citations
8.
Qiao, Aijun, Jichao Liang, Chenghong Li, et al.. (2011). Mouse patatin-like phospholipase domain-containing 3 influences systemic lipid and glucose homeostasis. Hepatology. 54(2). 509–521. 69 indexed citations
9.
Shao, Di, Yang Liu, Xiaojun Liu, et al.. (2010). PGC-1β-Regulated mitochondrial biogenesis and function in myotubes is mediated by NRF-1 and ERRα. Mitochondrion. 10(5). 516–527. 123 indexed citations
10.
11.
Chen, Dongye, Xiaowei Chen, Xin Jin, et al.. (2007). [Screening of SLC26A4 (PDS) gene mutation in cochlear implant recipients with inner ear malformation].. PubMed. 87(40). 2820–4. 4 indexed citations
12.
Liu, Lizhong, Hai‐Lu Zhao, Jin Zuo, et al.. (2006). Protein Kinase Cζ Mediates Insulin-induced Glucose Transport through Actin Remodeling in L6 Muscle Cells. Molecular Biology of the Cell. 17(5). 2322–2330. 47 indexed citations
13.
He, Aibin, Xiaojun Liu, Lizhong Liu, Yongsheng Chang, & Fude Fang. (2006). How many signals impinge on GLUT4 activation by insulin?. Cellular Signalling. 19(1). 1–7. 39 indexed citations
14.
Liu, Zhuo, Yong‐Wei Zhang, Yongsheng Chang, & Fude Fang. (2006). The role of cytoskeleton in glucose regulation. Biochemistry (Moscow). 71(5). 476–480. 9 indexed citations
15.
Li, Yi, Guodong Wu, Jin Zuo, et al.. (2006). Genetic variations of the CDC2L2 gene are associated with type 2 diabetes in a Han Chinese cohort. Diabetes/Metabolism Research and Reviews. 23(6). 455–461. 2 indexed citations
17.
Liu, Dongyuan, Mingxiang Liao, Jin Zuo, W. David Henner, & Fude Fang. (2001). The effect of chemical carcinogenesis on rat glutathione S-transferase P1 gene transcriptional regulation. Molecular Biology Reports. 28(1). 19–25. 4 indexed citations
18.
Zhu, Guozhi, Yongsheng Chang, Jin Zuo, et al.. (2001). Fudenine, a C-Terminal Truncated Rat Homologue of Mouse Prominin, Is Blood Glucose-Regulated and Can Up-Regulate the Expression of GAPDH. Biochemical and Biophysical Research Communications. 281(4). 951–956. 48 indexed citations
19.
Cao, Jia, et al.. (2000). Toxicogenomics and applications of DNA microarrays. Zhongguo yaolixue yu dulixue zazhi. 14(5). 336–340. 1 indexed citations
20.
Zhang, Minlei & Fude Fang. (1999). Prevention of chemical carcinogenesis using glutathine S-transferase-pi (GST-pi). Chinese Science Bulletin. 44(23). 2168–2174. 1 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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