Ren Guo
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Psychiatry and Mental health top 10%
- Epilepsy research and treatment
Papers in
- Immunology 17
- Atherosclerosis and Cardiovascular Diseases 7
- Immune cells in cancer 4
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Co-authors
- Bikui Zhang (9 shared papers)Tian Wu (10 shared papers)Heng Yang (7 shared papers)Dai Li (13 shared papers)Xin Guo (3 shared papers)Zhi Song (3 shared papers)Ding Liu (3 shared papers)Xiangdong Peng (4 shared papers)
- Journals
- European Journal of Pharmacology (3 papers)Scientific Reports (2 papers)Canadian Journal of Physiology and Pharmacology (2 papers)International Immunopharmacology (2 papers)Life Sciences (2 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Ren Guo
56 papers receiving 914 citations
Peers
Comparison fields: 5 of 96
- Cancer Research 145
- Psychiatry and Mental health 139
- Transplantation 21
- Immunology 148
- Cellular and Molecular Neuroscience 109
Countries citing papers authored by Ren Guo
This map shows the geographic impact of Ren Guo'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 Ren Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ren Guo more than expected).
Fields of papers citing papers by Ren Guo
This network shows the impact of papers produced by Ren Guo. 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 Ren Guo. The network helps show where Ren Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ren Guo, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 66 | |
| 2 | 2014 | 62 | |
| 3 | 2016 | 53 | |
| 4 | 2013 | 53 | |
| 5 | 2014 | 46 | |
| 6 | 2022 | 45 | |
| 7 | 2016 | 33 | |
| 8 | 2013 | 32 | |
| 9 | 2013 | 30 | |
| 10 | 2013 | 30 | |
| 11 | 2015 | 26 | |
| 12 | 2013 | 26 | |
| 13 | 2016 | 25 | |
| 14 | 2007 | 25 | |
| 15 | 2016 | 23 | |
| 16 | 2022 | 22 | |
| 17 | 2016 | 21 | |
| 18 | 2019 | 21 | |
| 19 | 2007 | 21 | |
| 20 | 2008 | 17 |
About Ren Guo
Ren Guo is a scholar working on Molecular Biology, Immunology, Cancer Research, Physiology and Cardiology and Cardiovascular Medicine, having authored 62 papers that have together received 922 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (7 papers), Cell Adhesion Molecules Research (6 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Diet and metabolism studies (4 papers), Immune cells in cancer (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). The work is most often cited by research in Cancer Research (145 citations), Psychiatry and Mental health (139 citations), Transplantation (21 citations), Immunology (148 citations) and Cellular and Molecular Neuroscience (109 citations). Ren Guo has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Bikui Zhang, Tian Wu, Heng Yang, Dai Li, Xin Guo, Zhi Song, Ding Liu, Xiangdong Peng, Yuan‐Jian Li and Yulu Zhou. Their work appears in journals such as European Journal of Pharmacology, Scientific Reports, Canadian Journal of Physiology and Pharmacology, International Immunopharmacology and Life Sciences.
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.