Bing Su
Impact in
- Genetics top 0.5%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Race, Genetics, and Society
- High Altitude and Hypoxia
- Genetic Associations and Epidemiology
- Yersinia bacterium, plague, ectoparasites research
- Archeology top 0.2%
- Forensic Anthropology and Bioarchaeology Studies
Papers in
- Genetics 93
- Forensic and Genetic Research 30
- Genetic diversity and population structure 26
- Genetic Associations and Epidemiology 21
- High Altitude and Hypoxia 12
- Race, Genetics, and Society 9
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- Genomics and Phylogenetic Studies 20
- Epigenetics and DNA Methylation 12
- Co-authors
- Jin Li (33 shared papers)Hong Shi (25 shared papers)Ranajit Chakraborty (12 shared papers)Chunjie Xiao (9 shared papers)Peter A. Underhill (6 shared papers)Daru Lu (10 shared papers)Lei Shi (12 shared papers)Ranjan Deka (7 shared papers)
- Journals
- Molecular Biology and Evolution (14 papers)The American Journal of Human Genetics (7 papers)PLoS ONE (7 papers)Gene (6 papers)BMC Evolutionary Biology (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bing Su
172 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 158
- Genetics 3.1k
- Archeology 691
- Paleontology 310
- Molecular Biology 1.9k
- Virology 116
Countries citing papers authored by Bing Su
This map shows the geographic impact of Bing Su'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 Bing Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Su more than expected).
Fields of papers citing papers by Bing Su
This network shows the impact of papers produced by Bing Su. 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 Bing Su. The network helps show where Bing Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Su, 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 174 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 336 | |
| 2 | 2000 | 219 | |
| 3 | 2000 | 207 | |
| 4 | 2013 | 170 | |
| 5 | 2016 | 162 | |
| 6 | 2005 | 154 | |
| 7 | 2004 | 146 | |
| 8 | 2002 | 141 | |
| 9 | 2013 | 130 | |
| 10 | 2000 | 124 | |
| 11 | 2008 | 120 | |
| 12 | 2006 | 105 | |
| 13 | 2004 | 100 | |
| 14 | 2010 | 100 | |
| 15 | 2008 | 97 | |
| 16 | 2008 | 97 | |
| 17 | 2010 | 97 | |
| 18 | 2009 | 84 | |
| 19 | 2002 | 83 | |
| 20 | 2016 | 80 |
About Bing Su
Bing Su is a scholar working on Genetics, Molecular Biology, Archeology, Plant Science and Cancer Research, having authored 174 papers that have together received 5.7k indexed citations. Recurring topics across this work include Forensic and Genetic Research (30 papers), Genetic diversity and population structure (26 papers), Genetic Associations and Epidemiology (21 papers), Genomics and Phylogenetic Studies (20 papers), Forensic Anthropology and Bioarchaeology Studies (15 papers), High Altitude and Hypoxia (12 papers), Epigenetics and DNA Methylation (12 papers) and Race, Genetics, and Society (9 papers). The work is most often cited by research in Genetics (3.1k citations), Archeology (691 citations), Paleontology (310 citations), Molecular Biology (1.9k citations) and Virology (116 citations). Bing Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jin Li, Hong Shi, Ranajit Chakraborty, Chunjie Xiao, Peter A. Underhill, Daru Lu, Lei Shi, Ranjan Deka, Hua Zhong and Bo Wen. Their work appears in journals such as Molecular Biology and Evolution, The American Journal of Human Genetics, PLoS ONE, Gene and BMC Evolutionary Biology.
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.