Shuo Ren
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
-
- Advanced biosensing and bioanalysis techniques 8
- RNA modifications and cancer 2
- Cell death mechanisms and regulation 2
-
- Biosensors and Analytical Detection 6
- Co-authors
- Soyoun Kim (10 shared papers)Nobuo Tsuchida (4 shared papers)Chong Gao (3 shared papers)Lilin Zhang (2 shared papers)Takuma Nakajima (2 shared papers)Katsuro Koike (2 shared papers)Yuekun Zhu (6 shared papers)Toshiko Hara (1 shared paper)
- Journals
- International Journal of Oncology (2 papers)BioChip Journal (2 papers)Oncology Reports (2 papers)Biochemical and Biophysical Research Communications (2 papers)ACS Biomaterials Science & Engineering (1 paper)
- Partner nations
- ChinaSouth KoreaJapan
In The Last Decade
Shuo Ren
38 papers receiving 634 citations
Peers
Comparison fields: 5 of 114
- Hepatology 60
- Rehabilitation 36
- Molecular Biology 328
- Molecular Medicine 22
- Cancer Research 65
Countries citing papers authored by Shuo Ren
This map shows the geographic impact of Shuo 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 Shuo Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Ren more than expected).
Fields of papers citing papers by Shuo Ren
This network shows the impact of papers produced by Shuo 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 Shuo Ren. The network helps show where Shuo Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuo 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 99 | |
| 2 | 2019 | 83 | |
| 3 | 2016 | 56 | |
| 4 | 2013 | 37 | |
| 5 | 2016 | 35 | |
| 6 | 2005 | 33 | |
| 7 | 2016 | 28 | |
| 8 | 2019 | 26 | |
| 9 | 2020 | 21 | |
| 10 | 2015 | 19 | |
| 11 | 2019 | 19 | |
| 12 | 2013 | 18 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 14 | |
| 15 | 2001 | 11 | |
| 16 | 2023 | 11 | |
| 17 | 2002 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2003 | 9 | |
| 20 | 2022 | 9 |
About Shuo Ren
Shuo Ren is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Pharmacology and Epidemiology, having authored 46 papers that have together received 642 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (8 papers), Biosensors and Analytical Detection (6 papers), Cancer-related Molecular Pathways (4 papers), Advanced X-ray Imaging Techniques (2 papers), Gastrointestinal motility and disorders (2 papers), Cancer, Lipids, and Metabolism (2 papers), RNA modifications and cancer (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Hepatology (60 citations), Rehabilitation (36 citations), Molecular Biology (328 citations), Molecular Medicine (22 citations) and Cancer Research (65 citations). Shuo Ren has collaborated with scholars based in China, South Korea and Japan. Frequent co-authors include Soyoun Kim, Nobuo Tsuchida, Chong Gao, Lilin Zhang, Takuma Nakajima, Katsuro Koike, Yuekun Zhu, Toshiko Hara, Shizuko Ichinose and Daxun Piao. Their work appears in journals such as International Journal of Oncology, BioChip Journal, Oncology Reports, Biochemical and Biophysical Research Communications and ACS Biomaterials Science & Engineering.
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.