Feng Ma
Impact in
- Nephrology top 5%
- Acute Kidney Injury Research
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Hepatology top 10%
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Nephrology 10
- Renal Diseases and Glomerulopathies 8
- Chronic Kidney Disease and Diabetes 2
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- Liver Disease and Transplantation 3
- Liver physiology and pathology 1
- Co-authors
- Yi Lv (10 shared papers)Lijuan Zhao (9 shared papers)Ming Bai (13 shared papers)Xu‐Feng Zhang (7 shared papers)Yangping Li (7 shared papers)Yan Yu (7 shared papers)Shiren Sun (5 shared papers)Meilan Zhou (5 shared papers)
- Journals
- Renal Failure (3 papers)PLoS ONE (2 papers)Frontiers in Pharmacology (2 papers)Cancer Letters (1 paper)Annals of Vascular Surgery (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feng Ma
33 papers receiving 621 citations
Peers
Comparison fields: 5 of 72
- Nephrology 180
- Hepatology 64
- Transplantation 21
- Critical Care and Intensive Care Medicine 19
- Cancer Research 47
Countries citing papers authored by Feng Ma
This map shows the geographic impact of Feng Ma'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 Feng Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ma more than expected).
Fields of papers citing papers by Feng Ma
This network shows the impact of papers produced by Feng Ma. 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 Feng Ma. The network helps show where Feng Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Ma, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 141 | |
| 2 | 2022 | 59 | |
| 3 | 2009 | 53 | |
| 4 | 2014 | 51 | |
| 5 | 2017 | 43 | |
| 6 | 2013 | 30 | |
| 7 | 2017 | 28 | |
| 8 | 2020 | 18 | |
| 9 | 2015 | 18 | |
| 10 | 2024 | 16 | |
| 11 | 2016 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2019 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2022 | 8 |
About Feng Ma
Feng Ma is a scholar working on Nephrology, Hepatology, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 35 papers that have together received 631 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (8 papers), Liver Disease and Transplantation (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Renal cell carcinoma treatment (1 paper), Aortic Disease and Treatment Approaches (1 paper), Atomic and Subatomic Physics Research (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Nephrology (180 citations), Hepatology (64 citations), Transplantation (21 citations), Critical Care and Intensive Care Medicine (19 citations) and Cancer Research (47 citations). Feng Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi Lv, Lijuan Zhao, Ming Bai, Xu‐Feng Zhang, Yangping Li, Yan Yu, Shiren Sun, Meilan Zhou, Rui Jing and Limin Liu. Their work appears in journals such as Renal Failure, PLoS ONE, Frontiers in Pharmacology, Cancer Letters and Annals of Vascular Surgery.
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.