Fan An
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
Papers in
- Co-authors
- Yong Luo (4 shared papers)Yueyang Qu (3 shared papers)Bingcheng Lin (2 shared papers)Weijie Zhao (2 shared papers)Yao Lu (1 shared paper)Tingjiao Liu (1 shared paper)Shaoqi Rao (5 shared papers)Weiying Chen (1 shared paper)
- Journals
- Cell Death and Disease (2 papers)Carbohydrate Polymers (1 paper)Polymer Engineering and Science (1 paper)PLoS ONE (1 paper)Biomaterials (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fan An
38 papers receiving 734 citations
Peers
Comparison fields: 5 of 108
- Rheumatology 134
- Nephrology 58
- Biomedical Engineering 202
- Complementary and alternative medicine 33
- Hepatology 30
Countries citing papers authored by Fan An
This map shows the geographic impact of Fan An'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 Fan An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan An more than expected).
Fields of papers citing papers by Fan An
This network shows the impact of papers produced by Fan An. 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 Fan An. The network helps show where Fan An may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan An, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 142 | |
| 2 | 2017 | 79 | |
| 3 | 2016 | 57 | |
| 4 | 2018 | 45 | |
| 5 | 2021 | 41 | |
| 6 | 2015 | 41 | |
| 7 | 2016 | 38 | |
| 8 | 2021 | 35 | |
| 9 | 2017 | 31 | |
| 10 | 2021 | 30 | |
| 11 | 2022 | 28 | |
| 12 | 2020 | 24 | |
| 13 | 2023 | 19 | |
| 14 | 2017 | 19 | |
| 15 | 2021 | 16 | |
| 16 | 2016 | 15 | |
| 17 | 2023 | 13 | |
| 18 | 2011 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2020 | 6 |
About Fan An
Fan An is a scholar working on Molecular Biology, Epidemiology, Biomedical Engineering, Materials Chemistry and Cell Biology, having authored 39 papers that have together received 743 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), COVID-19 Clinical Research Studies (3 papers), 3D Printing in Biomedical Research (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Analytical Chemistry and Chromatography (2 papers), Cancer Treatment and Pharmacology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Catalysis and Hydrodesulfurization Studies (2 papers). The work is most often cited by research in Rheumatology (134 citations), Nephrology (58 citations), Biomedical Engineering (202 citations), Complementary and alternative medicine (33 citations) and Hepatology (30 citations). Fan An has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yong Luo, Yueyang Qu, Bingcheng Lin, Weijie Zhao, Yao Lu, Tingjiao Liu, Shaoqi Rao, Weiying Chen, Jian Chen and Zhibin Li. Their work appears in journals such as Cell Death and Disease, Carbohydrate Polymers, Polymer Engineering and Science, PLoS ONE and Biomaterials.
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.