Qi Ren
Impact in
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 5
- Circular RNAs in diseases 4
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- MicroRNA in disease regulation 7
- Co-authors
- Bin Chen (1 shared paper)Zhengshuang Xu (2 shared papers)Yuqing Liu (2 shared papers)David C. Ward (1 shared paper)Rongfeng Lan (1 shared paper)Ye Tao (1 shared paper)Jing Wang (1 shared paper)Fei Lu (1 shared paper)
- Journals
- Scientific Reports (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Molecular Biology Reports (2 papers)Artificial Cells Nanomedicine and Biotechnology (2 papers)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Qi Ren
57 papers receiving 928 citations
Peers
Comparison fields: 5 of 111
- Nephrology 70
- Cancer Research 140
- Pharmacology 80
- Complementary and alternative medicine 71
- Molecular Biology 495
Countries citing papers authored by Qi Ren
This map shows the geographic impact of Qi 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 Qi Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Ren more than expected).
Fields of papers citing papers by Qi Ren
This network shows the impact of papers produced by Qi 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 Qi Ren. The network helps show where Qi Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 182 | |
| 2 | 2019 | 104 | |
| 3 | 2012 | 79 | |
| 4 | 2018 | 64 | |
| 5 | 2020 | 36 | |
| 6 | 2015 | 34 | |
| 7 | 2023 | 33 | |
| 8 | 2021 | 27 | |
| 9 | 2013 | 23 | |
| 10 | 2015 | 23 | |
| 11 | 2016 | 21 | |
| 12 | 2014 | 19 | |
| 13 | 2018 | 17 | |
| 14 | 2015 | 17 | |
| 15 | 2015 | 16 | |
| 16 | 2017 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2014 | 14 | |
| 19 | 2023 | 14 | |
| 20 | 2024 | 13 |
About Qi Ren
Qi Ren is a scholar working on Molecular Biology, Cancer Research, Nephrology, Pharmacology and Epidemiology, having authored 65 papers that have together received 937 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (8 papers), MicroRNA in disease regulation (7 papers), Renal Diseases and Glomerulopathies (6 papers), Epigenetics and DNA Methylation (5 papers), Circular RNAs in diseases (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Nephrology (70 citations), Cancer Research (140 citations), Pharmacology (80 citations), Complementary and alternative medicine (71 citations) and Molecular Biology (495 citations). Qi Ren has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Bin Chen, Zhengshuang Xu, Yuqing Liu, David C. Ward, Rongfeng Lan, Ye Tao, Jing Wang, Fei Lu, Junmin Quan and Hui Zhang. Their work appears in journals such as Scientific Reports, Evidence-based Complementary and Alternative Medicine, Molecular Biology Reports, Artificial Cells Nanomedicine and Biotechnology and International Journal of Biological Macromolecules.
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.