Bin Geng
Impact in
- Biochemistry top 0.05%
- Sulfur Compounds in Biology
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Biochemistry 49
- Sulfur Compounds in Biology 45
- Lipid metabolism and biosynthesis 5
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- Cardiac Fibrosis and Remodeling 6
- Co-authors
- Qinghua Cui (33 shared papers)Jichun Yang (30 shared papers)Chaoshu Tang (23 shared papers)Junbao Du (14 shared papers)Jing Zhao (13 shared papers)Chaoshu Tang (16 shared papers)Jun Cai (19 shared papers)Yang Li (2 shared papers)
- Journals
- PLoS ONE (7 papers)Journal of Cellular and Molecular Medicine (6 papers)Scientific Reports (4 papers)Biochemical and Biophysical Research Communications (4 papers)Oncotarget (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bin Geng
111 papers receiving 8.2k citations
Bin Geng's Hit Papers
Peers
Comparison fields: 5 of 131
- Biochemistry 2.1k
- Cancer Research 1.2k
- Molecular Biology 2.8k
- Cardiology and Cardiovascular Medicine 698
- Endocrine and Autonomic Systems 140
Countries citing papers authored by Bin Geng
This map shows the geographic impact of Bin Geng'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 Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Geng more than expected).
Fields of papers citing papers by Bin Geng
This network shows the impact of papers produced by Bin Geng. 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 Geng. The network helps show where Bin Geng may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Geng, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gut microbiota dysbiosis contributes to the development of hypertension Hit paper breakdown → | 2017 | 1377 |
| 2 | HMDD v2.0: a database for experimentally supported human microRNA and disease associations Hit paper breakdown → | 2013 | 1039 |
| 3 | 2004 | 358 | |
| 4 | 2014 | 325 | |
| 5 | 2018 | 312 | |
| 6 | 2003 | 308 | |
| 7 | 2018 | 262 | |
| 8 | 2005 | 218 | |
| 9 | 2008 | 191 | |
| 10 | 2007 | 171 | |
| 11 | 2004 | 150 | |
| 12 | 2008 | 136 | |
| 13 | 2018 | 135 | |
| 14 | 2009 | 127 | |
| 15 | 2008 | 121 | |
| 16 | 2009 | 113 | |
| 17 | 2012 | 108 | |
| 18 | 2005 | 103 | |
| 19 | 2007 | 97 | |
| 20 | 2016 | 92 |
About Bin Geng
Bin Geng is a scholar working on Biochemistry, Cardiology and Cardiovascular Medicine, Physiology, Cancer Research and Molecular Biology, having authored 111 papers that have together received 8.3k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (45 papers), Nitric Oxide and Endothelin Effects (10 papers), Cardiac Ischemia and Reperfusion (6 papers), Cardiac Fibrosis and Remodeling (6 papers), Gut microbiota and health (6 papers), Lipid metabolism and biosynthesis (5 papers), MicroRNA in disease regulation (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Biochemistry (2.1k citations), Cancer Research (1.2k citations), Molecular Biology (2.8k citations), Cardiology and Cardiovascular Medicine (698 citations) and Endocrine and Autonomic Systems (140 citations). Bin Geng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qinghua Cui, Jichun Yang, Chaoshu Tang, Junbao Du, Jing Zhao, Chaoshu Tang, Jun Cai, Yang Li, Chengxiang Qiu and Tianzi Jiang. Their work appears in journals such as PLoS ONE, Journal of Cellular and Molecular Medicine, Scientific Reports, Biochemical and Biophysical Research Communications and Oncotarget.
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.