Dan‐ni Ren
Impact in
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- Sirtuins and Resveratrol in Medicine
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- Traditional Chinese Medicine Analysis
Papers in
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- Cardiac Ischemia and Reperfusion 5
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- Cardiac Fibrosis and Remodeling 5
- Renin-Angiotensin System Studies 3
- Co-authors
- Da Wo (22 shared papers)Weidong Zhu (19 shared papers)Jingxiao Chen (14 shared papers)Hongwei Yan (5 shared papers)Jun Peng (8 shared papers)Jun Peng (5 shared papers)Zhongmin Liu (2 shared papers)Jianhua Yang (2 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (3 papers)Biomedicine & Pharmacotherapy (3 papers)Nature Communications (1 paper)Pharmaceuticals (1 paper)Journal of Surgical Oncology (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Dan‐ni Ren
23 papers receiving 406 citations
Peers
Comparison fields: 5 of 55
- Geriatrics and Gerontology 12
- Complementary and alternative medicine 27
- Cardiology and Cardiovascular Medicine 66
- Molecular Biology 170
- Cancer Research 28
Countries citing papers authored by Dan‐ni Ren
This map shows the geographic impact of Dan‐ni 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 Dan‐ni Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan‐ni Ren more than expected).
Fields of papers citing papers by Dan‐ni Ren
This network shows the impact of papers produced by Dan‐ni 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 Dan‐ni Ren. The network helps show where Dan‐ni Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan‐ni 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 87 | |
| 2 | 2015 | 57 | |
| 3 | 2019 | 32 | |
| 4 | 2014 | 31 | |
| 5 | 2023 | 30 | |
| 6 | 2019 | 27 | |
| 7 | 2024 | 21 | |
| 8 | 2021 | 16 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2009 | 11 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2025 | 4 | |
| 20 | 2025 | 3 |
About Dan‐ni Ren
Dan‐ni Ren is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology, Oncology and Molecular Biology, having authored 24 papers that have together received 411 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (7 papers), Cardiac Ischemia and Reperfusion (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Renin-Angiotensin System Studies (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Chemokine receptors and signaling (2 papers), Receptor Mechanisms and Signaling (1 paper) and Flavonoids in Medical Research (1 paper). The work is most often cited by research in Geriatrics and Gerontology (12 citations), Complementary and alternative medicine (27 citations), Cardiology and Cardiovascular Medicine (66 citations), Molecular Biology (170 citations) and Cancer Research (28 citations). Dan‐ni Ren has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Da Wo, Weidong Zhu, Jingxiao Chen, Hongwei Yan, Jun Peng, Jun Peng, Zhongmin Liu, Jianhua Yang, Yong Fang and Shangfeng Liu. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Biomedicine & Pharmacotherapy, Nature Communications, Pharmaceuticals and Journal of Surgical Oncology.
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.