Feng Ren
Impact in
- Hepatology top 10%
-
- Epigenetics and DNA Methylation
- Sphingolipid Metabolism and Signaling
- Extracellular vesicles in disease
Papers in
-
- Sphingolipid Metabolism and Signaling 4
- Cancer-related gene regulation 3
- PI3K/AKT/mTOR signaling in cancer 3
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- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Lianwen Yuan (3 shared papers)Yun Yang (3 shared papers)Ying‐Tang Lu (1 shared paper)Rui Guo (2 shared papers)Tao Wen (4 shared papers)Shalong Wang (2 shared papers)Ganglei Liu (2 shared papers)Dong-cai Liu (2 shared papers)
- Journals
- International Immunopharmacology (3 papers)Inflammation Research (1 paper)Cell Death Discovery (1 paper)Organic Chemistry Frontiers (1 paper)Journal of Agricultural and Food Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Feng Ren
50 papers receiving 783 citations
Peers
Comparison fields: 5 of 108
- Hepatology 56
- Molecular Biology 484
- Pharmacology 57
- Cancer Research 98
- Nephrology 45
Countries citing papers authored by Feng Ren
This map shows the geographic impact of Feng Ren'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 Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ren more than expected).
Fields of papers citing papers by Feng Ren
This network shows the impact of papers produced by Feng Ren. 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 Ren. The network helps show where Feng Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Ren, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 64 | |
| 2 | 2012 | 64 | |
| 3 | 2021 | 57 | |
| 4 | 2015 | 53 | |
| 5 | 2020 | 44 | |
| 6 | 2006 | 33 | |
| 7 | 2016 | 31 | |
| 8 | 2020 | 31 | |
| 9 | 2015 | 27 | |
| 10 | 2016 | 26 | |
| 11 | 2023 | 26 | |
| 12 | 2023 | 26 | |
| 13 | 2015 | 25 | |
| 14 | 2015 | 25 | |
| 15 | 2021 | 25 | |
| 16 | 2018 | 23 | |
| 17 | 2018 | 21 | |
| 18 | 2014 | 19 | |
| 19 | 2017 | 19 | |
| 20 | 2012 | 19 |
About Feng Ren
Feng Ren is a scholar working on Molecular Biology, Epidemiology, Hepatology, Oncology and Pharmacology, having authored 51 papers that have together received 789 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Cancer Research and Treatments (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Liver physiology and pathology (3 papers), Cancer-related gene regulation (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Hepatology (56 citations), Molecular Biology (484 citations), Pharmacology (57 citations), Cancer Research (98 citations) and Nephrology (45 citations). Feng Ren has collaborated with scholars based in China, United States and France. Frequent co-authors include Lianwen Yuan, Yun Yang, Ying‐Tang Lu, Rui Guo, Tao Wen, Shalong Wang, Ganglei Liu, Dong-cai Liu, Yàn Liú and Hao Wu. Their work appears in journals such as International Immunopharmacology, Inflammation Research, Cell Death Discovery, Organic Chemistry Frontiers and Journal of Agricultural and Food Chemistry.
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.