Bin Fan
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Adipokines, Inflammation, and Metabolic Diseases 4
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Shoichiro Ikuyama (9 shared papers)Jianqiu Gu (8 shared papers)Kai Fan (2 shared papers)Jianmei Ma (2 shared papers)Ping Wei (2 shared papers)Toyoshi Inoguchi (2 shared papers)Jun‐ichi Oyama (2 shared papers)Junji Nishimura (2 shared papers)
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (4 papers)Scientific Reports (1 paper)International Journal of Biological Macromolecules (1 paper)Environmental Science and Pollution Research (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- ChinaJapanNetherlands
In The Last Decade
Bin Fan
24 papers receiving 420 citations
Peers
Comparison fields: 5 of 93
- Biochemistry 68
- Neurology 65
- Developmental Neuroscience 24
- Reproductive Medicine 34
- Physiology 82
Countries citing papers authored by Bin Fan
This map shows the geographic impact of Bin Fan'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 Bin Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Fan more than expected).
Fields of papers citing papers by Bin Fan
This network shows the impact of papers produced by Bin Fan. 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 Bin Fan. The network helps show where Bin Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Fan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 51 | |
| 2 | 2012 | 42 | |
| 3 | 2019 | 35 | |
| 4 | 2015 | 33 | |
| 5 | 2009 | 33 | |
| 6 | 2010 | 33 | |
| 7 | 2013 | 31 | |
| 8 | 2021 | 28 | |
| 9 | 2013 | 26 | |
| 10 | 2008 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2023 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2018 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2008 | 8 | |
| 18 | 2025 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2016 | 6 |
About Bin Fan
Bin Fan is a scholar working on Molecular Biology, Epidemiology, Biochemistry, Physiology and Plant Science, having authored 25 papers that have together received 433 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (6 papers), Adipose Tissue and Metabolism (5 papers), Research in Cotton Cultivation (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Neurological Disease Mechanisms and Treatments (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Biochemistry (68 citations), Neurology (65 citations), Developmental Neuroscience (24 citations), Reproductive Medicine (34 citations) and Physiology (82 citations). Bin Fan has collaborated with scholars based in China, Japan and Netherlands. Frequent co-authors include Shoichiro Ikuyama, Jianqiu Gu, Kai Fan, Jianmei Ma, Ping Wei, Toyoshi Inoguchi, Jun‐ichi Oyama, Junji Nishimura, Sheng Yang and Qiang Du. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Scientific Reports, International Journal of Biological Macromolecules, Environmental Science and Pollution Research and Journal of Neuroinflammation.
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.