Jin‐Rong Zhou
- Molecular Biology top 5%
- Pathology and Forensic Medicine top 1%
- Oncology top 5%
- Cancer Research top 5%
- Genetics top 5%
- Co-authors
- Hamid M. AbdolmalekyGeorge L. BlackburnSteven K. ClintonSam ThiagalingamLin LiLunyin YuMd. Moklesur Rahman SarkerEric T. Gugger
- Topics
- Phytoestrogen effects and research (17 papers)Cancer, Lipids, and Metabolism (8 papers)Gut microbiota and health (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Clinical Nutrition
- Partner nations
- United StatesChinaBangladesh
In The Last Decade
Jin‐Rong Zhou
72 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.5k
- Pathology and Forensic Medicine 781
- Oncology 513
- Cancer Research 472
- Genetics 451
Countries citing papers authored by Jin‐Rong Zhou
This map shows the geographic impact of Jin‐Rong Zhou'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 Jin‐Rong Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Rong Zhou more than expected).
Fields of papers citing papers by Jin‐Rong Zhou
This network shows the impact of papers produced by Jin‐Rong Zhou. 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 Jin‐Rong Zhou. The network helps show where Jin‐Rong Zhou may publish in the future.
Co-authorship network of co-authors of Jin‐Rong Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Rong Zhou. A scholar is included among the top collaborators of Jin‐Rong Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin‐Rong Zhou. Jin‐Rong Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 15 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 10 | |
| 11 | 15 | |
| 12 | 15 | |
| 13 | 29 | |
| 14 | 19 | |
| 15 | 178 | |
| 16 | 47 | |
| 17 | 172 | |
| 18 | 16 | |
| 19 | 33 | |
| 20 | Tanshinone IIA, a major component of Danshen Posses potent anticancer and antiangiogenic activities. | 1 |
About Jin‐Rong Zhou
Jin‐Rong Zhou is a scholar working on Biological Psychiatry, Cancer Research and Pathology and Forensic Medicine, having authored 76 papers that have together received 3.2k indexed citations. Recurring topics across this work include Phytoestrogen effects and research (17 papers), Cancer, Lipids, and Metabolism (8 papers) and Gut microbiota and health (7 papers). The work is most often cited by research in Biological Psychiatry (126 citations), Pathology and Forensic Medicine (781 citations) and Biochemistry (211 citations). Jin‐Rong Zhou has collaborated with scholars based in United States, China and Bangladesh. Frequent co-authors include Hamid M. Abdolmaleky, George L. Blackburn, Steven K. Clinton, Sam Thiagalingam, Lin Li, Lunyin Yu, Md. Moklesur Rahman Sarker, Eric T. Gugger, Yanping Guo and Toshihide Tanaka. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.
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.