Bin Ren
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Molecular Biology top 10%
- Angiogenesis and VEGF in Cancer
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
Papers in
-
- Angiogenesis and VEGF in Cancer 19
- Sphingolipid Metabolism and Signaling 3
- Oncology 12
- Cancer Cells and Metastasis 5
- Co-authors
- R. David Hawkins (1 shared paper)Gary C. Hon (1 shared paper)Naranjan S. Dhalla (8 shared papers)Jack Lawler (2 shared papers)Roya Khosravi‐Far (2 shared papers)Karen O. Yee (1 shared paper)Herbert Chen (7 shared papers)J. Bart Rose (5 shared papers)
- Journals
- Cancer Research (4 papers)Arteriosclerosis Thrombosis and Vascular Biology (4 papers)Circulation (3 papers)PLoS ONE (2 papers)Blood (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bin Ren
84 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 238
- Molecular Biology 1.1k
- Cardiology and Cardiovascular Medicine 246
- Oncology 269
- Cell Biology 151
Countries citing papers authored by Bin Ren
This map shows the geographic impact of Bin 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 Bin Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ren more than expected).
Fields of papers citing papers by Bin Ren
This network shows the impact of papers produced by Bin 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 Bin Ren. The network helps show where Bin Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 174 | |
| 2 | 2009 | 159 | |
| 3 | 2021 | 134 | |
| 4 | 2010 | 118 | |
| 5 | 2003 | 95 | |
| 6 | 2020 | 91 | |
| 7 | 2005 | 81 | |
| 8 | 2002 | 47 | |
| 9 | 2011 | 47 | |
| 10 | 2009 | 47 | |
| 11 | 2009 | 45 | |
| 12 | 2016 | 41 | |
| 13 | 2005 | 40 | |
| 14 | 2014 | 39 | |
| 15 | 2010 | 36 | |
| 16 | 2017 | 36 | |
| 17 | 2019 | 34 | |
| 18 | 2019 | 33 | |
| 19 | 2004 | 32 | |
| 20 | 1999 | 30 |
About Bin Ren
Bin Ren is a scholar working on Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine, Cancer Research and Epidemiology, having authored 90 papers that have together received 2.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (19 papers), Cancer, Lipids, and Metabolism (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Cancer Cells and Metastasis (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Heart Failure Treatment and Management (4 papers) and Sphingolipid Metabolism and Signaling (3 papers). The work is most often cited by research in Cancer Research (238 citations), Molecular Biology (1.1k citations), Cardiology and Cardiovascular Medicine (246 citations), Oncology (269 citations) and Cell Biology (151 citations). Bin Ren has collaborated with scholars based in China, United States and Canada. Frequent co-authors include R. David Hawkins, Gary C. Hon, Naranjan S. Dhalla, Jack Lawler, Roya Khosravi‐Far, Karen O. Yee, Herbert Chen, J. Bart Rose, Nobuakira Takeda and Qiming Shao. Their work appears in journals such as Cancer Research, Arteriosclerosis Thrombosis and Vascular Biology, Circulation, PLoS ONE and Blood.
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.