Junfen Fu
Impact in
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- Diabetes Management and Research
- Diet, Metabolism, and Disease
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
Papers in
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- Diabetes Management and Research 12
- Co-authors
- Rahim Ullah (24 shared papers)Guanping Dong (42 shared papers)Tatsuhiko Urakami (5 shared papers)Qiang Shu (10 shared papers)David M. Maahs (3 shared papers)Philip Zeitler (4 shared papers)Jianhua Mao (4 shared papers)Li Liang (10 shared papers)
- Journals
- Pediatric Diabetes (9 papers)World Journal of Pediatrics (9 papers)Frontiers in Endocrinology (8 papers)Clinical Endocrinology (4 papers)Hormone Research in Paediatrics (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Junfen Fu
192 papers receiving 3.4k citations
Junfen Fu's Hit Papers
Peers
Comparison fields: 5 of 147
- Endocrinology, Diabetes and Metabolism 733
- Reproductive Medicine 170
- Endocrine and Autonomic Systems 118
- Epidemiology 571
- Genetics 499
Countries citing papers authored by Junfen Fu
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
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-authors
The 25 scholars most cited alongside Junfen Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 207 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 159 | |
| 2 | 2008 | 118 | |
| 3 | 2014 | 118 | |
| 4 | 2019 | 111 | |
| 5 | 2022 | 102 | |
| 6 | 2019 | 97 | |
| 7 | 2020 | 96 | |
| 8 | 1995 | 91 | |
| 9 | Dysfunction of autophagy in high-fat diet-induced non-alcoholic fatty liver disease Hit paper breakdown → | 2023 | 83 |
| 10 | 2016 | 80 | |
| 11 | 2018 | 76 | |
| 12 | 2011 | 71 | |
| 13 | 2020 | 56 | |
| 14 | 2020 | 55 | |
| 15 | 2018 | 52 | |
| 16 | 2021 | 52 | |
| 17 | 2023 | 50 | |
| 18 | 2013 | 48 | |
| 19 | 2010 | 47 | |
| 20 | 2015 | 46 |
About Junfen Fu
Junfen Fu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Epidemiology and Surgery, having authored 207 papers that have together received 3.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Diabetes and associated disorders (19 papers), Diabetes Management and Research (12 papers), Hypothalamic control of reproductive hormones (10 papers), Pancreatic function and diabetes (9 papers), Regulation of Appetite and Obesity (8 papers), Obesity, Physical Activity, Diet (7 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (733 citations), Reproductive Medicine (170 citations), Endocrine and Autonomic Systems (118 citations), Epidemiology (571 citations) and Genetics (499 citations). Junfen Fu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Rahim Ullah, Guanping Dong, Tatsuhiko Urakami, Qiang Shu, David M. Maahs, Philip Zeitler, Jianhua Mao, Li Liang, Shiqiang Shang and Qing Ye. Their work appears in journals such as Pediatric Diabetes, World Journal of Pediatrics, Frontiers in Endocrinology, Clinical Endocrinology and Hormone Research in Paediatrics.
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.