Min Feng
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Nephrology 12
- Chronic Kidney Disease and Diabetes 5
- Dialysis and Renal Disease Management 4
- Acute Kidney Injury Research 3
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- Renal and related cancers 3
- Co-authors
- Hui Y. Lan (9 shared papers)Patrick Ming‐Kuen Tang (3 shared papers)Si Sun (2 shared papers)Jun Xiao (2 shared papers)Anping Xu (8 shared papers)Xiao Ru Huang (3 shared papers)Xiao‐Ru Huang (2 shared papers)Ronald C.W. (1 shared paper)
In The Last Decade
Min Feng
26 papers receiving 818 citations
Peers
Comparison fields: 5 of 89
- Nephrology 243
- Cancer Research 190
- Molecular Biology 401
- Immunology 112
- Pharmacology 45
Countries citing papers authored by Min Feng
This map shows the geographic impact of Min Feng'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 Min Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Feng more than expected).
Fields of papers citing papers by Min Feng
This network shows the impact of papers produced by Min Feng. 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 Min Feng. The network helps show where Min Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Feng, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 132 | |
| 2 | 2017 | 132 | |
| 3 | 2017 | 128 | |
| 4 | 2016 | 58 | |
| 5 | 2014 | 50 | |
| 6 | 2017 | 41 | |
| 7 | 2015 | 37 | |
| 8 | 2017 | 37 | |
| 9 | 2018 | 34 | |
| 10 | 2020 | 28 | |
| 11 | 2020 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2009 | 21 | |
| 14 | 2015 | 20 | |
| 15 | 2020 | 12 | |
| 16 | Clinical features and mortality in Chinese with lupus nephritis and neuropsychiatric lupus: A 124-patient study | 2014 | 8 |
| 17 | 2009 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2019 | 5 |
About Min Feng
Min Feng is a scholar working on Nephrology, Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Oncology, having authored 28 papers that have together received 822 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (5 papers), Dialysis and Renal Disease Management (4 papers), Renal and related cancers (3 papers), Acute Kidney Injury Research (3 papers), Cancer-related molecular mechanisms research (3 papers), Renal cell carcinoma treatment (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Nephrology (243 citations), Cancer Research (190 citations), Molecular Biology (401 citations), Immunology (112 citations) and Pharmacology (45 citations). Min Feng has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Hui Y. Lan, Patrick Ming‐Kuen Tang, Si Sun, Jun Xiao, Anping Xu, Xiao Ru Huang, Xiao‐Ru Huang, Ronald C.W., Ping Li and Ying Tang. Their work appears in journals such as BMC Nephrology, Clinical Science, Molecular Therapy, BMJ Open and Planta Medica.
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.