Junfen Fu

6.7k total citations · 1 hit paper
204 papers, 3.3k citations indexed

About

Junfen Fu is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Junfen Fu has authored 204 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Endocrinology, Diabetes and Metabolism, 48 papers in Genetics and 45 papers in Molecular Biology. Recurrent topics in Junfen Fu's work include Diabetes and associated disorders (28 papers), Liver Disease Diagnosis and Treatment (28 papers) and Diet, Metabolism, and Disease (25 papers). Junfen Fu is often cited by papers focused on Diabetes and associated disorders (28 papers), Liver Disease Diagnosis and Treatment (28 papers) and Diet, Metabolism, and Disease (25 papers). Junfen Fu collaborates with scholars based in China, United States and Japan. Junfen Fu's co-authors include Rahim Ullah, Guanping Dong, Qing Ye, Tatsuhiko Urakami, David M. Maahs, Qiang Shu, Philip Zeitler, Li Liang, Shiqiang Shang and Jianhua Mao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Materials.

In The Last Decade

Junfen Fu

188 papers receiving 3.2k citations

Hit Papers

Dysfunction of autophagy ... 2023 2026 2024 2023 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Dysfunction of autophagy in high-fat diet-induced non-alcoholic fatty liver disease
    2023 70 citations Junfen Fu et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Junfen Fu 1.0k 702 666 621 539 204 3.3k
Ambrish Mithal 1.1k 1.0× 817 1.2× 1.1k 1.6× 434 0.7× 931 1.7× 114 5.8k
Gemma Rojo‐Martínez 1.2k 1.1× 699 1.0× 714 1.1× 330 0.5× 403 0.7× 158 3.9k
Iona Y. Millwood 472 0.5× 707 1.0× 619 0.9× 331 0.5× 419 0.8× 100 3.0k
Francisco J. Gómez‐Pérez 1.5k 1.5× 865 1.2× 868 1.3× 401 0.6× 599 1.1× 147 3.8k
Yimin Zhu 507 0.5× 522 0.7× 988 1.5× 492 0.8× 381 0.7× 146 3.5k
Sadao Suzuki 441 0.4× 819 1.2× 778 1.2× 365 0.6× 813 1.5× 222 5.3k
M. Loredana Marcovecchio 1.6k 1.5× 419 0.6× 438 0.7× 716 1.2× 531 1.0× 120 3.7k
Alison M. Mondul 582 0.6× 367 0.5× 1.1k 1.6× 467 0.8× 392 0.7× 127 4.1k
Carla Lubrano 872 0.8× 612 0.9× 648 1.0× 443 0.7× 432 0.8× 126 3.9k
Adrian Heald 2.0k 2.0× 438 0.6× 736 1.1× 368 0.6× 341 0.6× 220 3.9k

Countries citing papers authored by Junfen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Junfen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junfen Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Junfen Fu. A scholar is included among the top collaborators of Junfen Fu 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 Junfen Fu. Junfen Fu 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.
2.
He, Qin, et al.. (2025). Clinical Features of Seven COL2A1 Variations in Chinese Children With Type II Collagen Disorders. Acta Paediatrica. 114(7). 1720–1730. 1 indexed citations
3.
Ullah, Rahim, et al.. (2024). Alternate-day fasting delays pubertal development in normal-weight mice but prevents high-fat diet-induced obesity and precocious puberty. Nutrition and Diabetes. 14(1). 82–82. 2 indexed citations
4.
Yu, Gang, et al.. (2024). MetOrigin 2.0: Advancing the discovery of microbial metabolites and their origins. SHILAP Revista de lepidopterología. 3(6). e246–e246. 10 indexed citations
5.
Wu, Zhaoyuan, Jinling Wang, Rahim Ullah, et al.. (2024). Covid 19 and diabetes in children: advances and strategies. Diabetology & Metabolic Syndrome. 16(1). 28–28. 5 indexed citations
6.
7.
Zhang, Danni, Huiying Wang, Shan Wang, et al.. (2023). The chronic consumption of dietary fructose promotes the gut Clostridium species imbalance and bile acid alterations in developing nonalcoholic fatty liver disease. The Journal of Nutritional Biochemistry. 121. 109434–109434. 14 indexed citations
8.
Jin, Yan, Yunkun Lu, Lian‐Yu Lin, et al.. (2023). Harnessing endogenous transcription factors directly by small molecules for chemically induced pluripotency inception. Proceedings of the National Academy of Sciences. 120(21). e2215155120–e2215155120. 5 indexed citations
9.
Shah, Amy S., Philip Zeitler, Jencia Wong, et al.. (2022). ISPAD Clinical Practice Consensus Guidelines 2022: Type 2 diabetes in children and adolescents. Pediatric Diabetes. 23(7). 872–902. 94 indexed citations
10.
Wang, Jingqiang, Yinghua Wang, Jinsong Li, et al.. (2021). Procr-expressing granulosa cells are highly proliferative and are important for follicle development. iScience. 24(2). 102065–102065. 12 indexed citations
11.
Ni, Yan, Gang Yu, Huan Chen, et al.. (2020). M2IA: a web server for microbiome and metabolome integrative analysis. Bioinformatics. 36(11). 3493–3498. 53 indexed citations
12.
Chen, Xuefeng, Xinyi Liang, Li Zhang, et al.. (2019). β ‐ Cell function in obese children and adolescents with metabolic syndrome compared to isolated obesity. Pediatric Diabetes. 20(7). 861–870. 1 indexed citations
13.
Ma, Xiaojie, Xi Chen, Yan Jin, et al.. (2018). Small molecules promote CRISPR-Cpf1-mediated genome editing in human pluripotent stem cells. Nature Communications. 9(1). 1303–1303. 51 indexed citations
14.
Fu, Junfen, Li Liang, Chunxiu Gong, et al.. (2014). [A proposal for the cutoff point of waist-to-height for the diagnosis of metabolic syndrome in children and adolescents in six areas of China].. PubMed. 35(8). 882–5. 4 indexed citations
15.
Wang, Hai‐Qiang, Junfen Fu, Qing-Dong Lu, Fangbiao Tao, & Jiahu Hao. (2014). Physical activity, body mass index and mental health in Chinese adolescents: a population based study.. PubMed. 54(4). 518–25. 32 indexed citations
16.
Li, Liang, Junfen Fu, Chunxiu Gong, et al.. (2012). [Survey on the levels of lipids in school-aged children of Beijing, Tianjin, Hangzhou, Shanghai, Chongqing and Nanning cities].. PubMed. 33(10). 1005–9. 4 indexed citations
17.
18.
Fu, Junfen, et al.. (2002). A molecular biological study on identification of common septicemia bacteria using 16s–23s rRNA gene spacer regions. Journal of Zhejiang University Science. 3(2). 237–242. 1 indexed citations
19.
Ueda, Hironori, Hiroshi Ikegami, Eiji Yamato, et al.. (1995). The NSY mouse: a new animal model of spontaneous NIDDM with moderate obesity. Diabetologia. 38(5). 503–508. 91 indexed citations
20.
Li, Zhen, et al.. (1992). Studies on the nullisomic backcrossing procedures for producing alien substitution lines of Triticum-Aegilops.. Xibei zhiwu xuebao. 12(1). 9–16. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ambrish Mithal Breakdown of academic impact, for papers by Gemma Rojo‐Martínez Breakdown of academic impact, for papers by Iona Y. Millwood Breakdown of academic impact, for papers by Francisco J. Gómez‐Pérez Breakdown of academic impact, for papers by Yimin Zhu Breakdown of academic impact, for papers by Sadao Suzuki Breakdown of academic impact, for papers by M. Loredana Marcovecchio Breakdown of academic impact, for papers by Alison M. Mondul Breakdown of academic impact, for papers by Carla Lubrano Breakdown of academic impact, for papers by Adrian Heald
Rankless by CCL
2026