Ri Wen
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Transplantation top 10%
Papers in
-
- Circular RNAs in diseases 4
- Mitochondrial Function and Pathology 4
- Inflammasome and immune disorders 4
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
- Co-authors
- Tie‐Ning Zhang (34 shared papers)Ni Yang (23 shared papers)Chunfeng Liu (21 shared papers)Yongping Liu (3 shared papers)Jing Xia (4 shared papers)Da Li (4 shared papers)Wei Wang (2 shared papers)Liying Zhang (2 shared papers)
- Journals
- Frontiers in Cellular and Infection Microbiology (2 papers)BioMed Research International (2 papers)The FASEB Journal (2 papers)Cellular & Molecular Biology Letters (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ri Wen
34 papers receiving 644 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 158
- Transplantation 18
- Geriatrics and Gerontology 22
- Immunology 91
- Obstetrics and Gynecology 30
Countries citing papers authored by Ri Wen
This map shows the geographic impact of Ri Wen'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 Ri Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ri Wen more than expected).
Fields of papers citing papers by Ri Wen
This network shows the impact of papers produced by Ri Wen. 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 Ri Wen. The network helps show where Ri Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ri Wen, 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 | 2017 | 63 | |
| 2 | 2023 | 58 | |
| 3 | 2022 | 47 | |
| 4 | 2022 | 46 | |
| 5 | 2019 | 40 | |
| 6 | 2024 | 40 | |
| 7 | 2023 | 35 | |
| 8 | 2021 | 33 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 31 | |
| 11 | 2020 | 30 | |
| 12 | 2024 | 27 | |
| 13 | 2019 | 27 | |
| 14 | 2006 | 19 | |
| 15 | 2022 | 17 | |
| 16 | 2025 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 8 |
About Ri Wen
Ri Wen is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Immunology and Geriatrics and Gerontology, having authored 35 papers that have together received 649 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Sirtuins and Resveratrol in Medicine (5 papers), Circular RNAs in diseases (4 papers), Sepsis Diagnosis and Treatment (4 papers), Mitochondrial Function and Pathology (4 papers), Inflammasome and immune disorders (4 papers), MicroRNA in disease regulation (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Cancer Research (158 citations), Transplantation (18 citations), Geriatrics and Gerontology (22 citations), Immunology (91 citations) and Obstetrics and Gynecology (30 citations). Ri Wen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Tie‐Ning Zhang, Ni Yang, Chunfeng Liu, Yongping Liu, Jing Xia, Da Li, Wei Wang, Liying Zhang, Qi‐Jun Wu and Xinmei Huang. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, BioMed Research International, The FASEB Journal, Cellular & Molecular Biology Letters 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.