Fan Yi
- Nephrology top 0.5%
- Renal Diseases and Glomerulopathies 19
- Chronic Kidney Disease and Diabetes 16
- Physiology top 0.5%
- Adenosine and Purinergic Signaling 12
- Calcium signaling and nucleotide metabolism 11
- Infectious Diseases top 1%
- Immunology top 2%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 10
- Neurology top 2%
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- Inflammasome and immune disorders 14
- Histone Deacetylase Inhibitors Research 9
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- Liver Disease Diagnosis and Treatment 13
- Co-authors
- Pin‐Lan LiZiying WangChun ZhangXinbing WeiYan ZhangHua SuNingjun LiAgnes B. Fogo
- Journals
- Kidney International (9 papers)Cellular Physiology and Biochemistry (7 papers)Antioxidants and Redox Signaling (6 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Fan Yi
210 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Nephrology 1.3k
- Physiology 368
- Infectious Diseases 1.1k
- Immunology 1.2k
- Neurology 459
Countries citing papers authored by Fan Yi
This map shows the geographic impact of Fan Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Yi more than expected).
Fields of papers citing papers by Fan Yi
This network shows the impact of papers produced by Fan Yi. 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 Yi. The network helps show where Fan Yi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fan Yi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 50 | |
| 7 | 2023 | 93 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 25 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 13 | |
| 13 | 2019 | 2 | |
| 14 | 2016 | 1 | |
| 15 | Recent Progress of 3D Printed Microfluidics Technologies | 2016 | 3 |
| 16 | 2015 | 20 | |
| 17 | 2014 | 33 | |
| 18 | 2014 | 13 | |
| 19 | 2013 | 3 | |
| 20 | 2008 | 59 |
About Fan Yi
Fan Yi is a scholar working on Nephrology, Physiology, Sensory Systems, Hepatology and Immunology, having authored 219 papers that have together received 8.7k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (19 papers), Chronic Kidney Disease and Diabetes (16 papers), Inflammasome and immune disorders (14 papers), Liver Disease Diagnosis and Treatment (13 papers), Adenosine and Purinergic Signaling (12 papers), Calcium signaling and nucleotide metabolism (11 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (10 papers) and Histone Deacetylase Inhibitors Research (9 papers). The work is most often cited by research in Nephrology (1.3k citations), Physiology (368 citations), Infectious Diseases (1.1k citations), Immunology (1.2k citations) and Neurology (459 citations). Fan Yi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Pin‐Lan Li, Ziying Wang, Chun Zhang, Xinbing Wei, Yan Zhang, Hua Su, Ningjun Li, Agnes B. Fogo, Ming Yang and Xiu Nie. Their work appears in journals such as Kidney International, Cellular Physiology and Biochemistry, Antioxidants and Redox Signaling, Nature Communications and Hypertension.
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.