Bing Su
Impact in
- Genetics top 0.5%
- Forensic and Genetic Research
- Genetic diversity and population structure
- High Altitude and Hypoxia
- Race, Genetics, and Society
- Genetic Associations and Epidemiology
- Yersinia bacterium, plague, ectoparasites research
- Archeology top 0.2%
- Forensic Anthropology and Bioarchaeology Studies
Papers in
- Genetics 112
- Forensic and Genetic Research 35
- Genetic diversity and population structure 28
- Genetic Associations and Epidemiology 25
- High Altitude and Hypoxia 19
- Race, Genetics, and Society 11
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- Genomics and Phylogenetic Studies 21
- Epigenetics and DNA Methylation 12
- Co-authors
- Jin Li (33 shared papers)Hong Shi (25 shared papers)Ranajit Chakraborty (12 shared papers)Chunjie Xiao (10 shared papers)Lei Shi (13 shared papers)Peter A. Underhill (6 shared papers)Daru Lu (10 shared papers)Ranjan Deka (7 shared papers)
- Journals
- Molecular Biology and Evolution (16 papers)PLoS ONE (9 papers)The American Journal of Human Genetics (8 papers)National Science Review (6 papers)Schizophrenia Research (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bing Su
199 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 168
- Genetics 4.3k
- Archeology 959
- Paleontology 415
- Anthropology 369
- Cancer Research 475
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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 388 | |
| 2 | 1999 | 367 | |
| 3 | 2004 | 341 | |
| 4 | 2000 | 221 | |
| 5 | 2000 | 213 | |
| 6 | 2016 | 195 | |
| 7 | 2013 | 182 | |
| 8 | 2001 | 174 | |
| 9 | 2005 | 157 | |
| 10 | 2002 | 147 | |
| 11 | 2004 | 145 | |
| 12 | 2013 | 141 | |
| 13 | 2008 | 128 | |
| 14 | 2000 | 124 | |
| 15 | 2016 | 120 | |
| 16 | 2006 | 116 | |
| 17 | 2010 | 109 | |
| 18 | 2010 | 103 | |
| 19 | 2004 | 101 | |
| 20 | 2008 | 99 |
About Bing Su
Bing Su is a scholar working on Genetics, Molecular Biology, Archeology, Cancer Research and Cell Biology, having authored 203 papers that have together received 7.5k indexed citations. Recurring topics across this work include Forensic and Genetic Research (35 papers), Genetic diversity and population structure (28 papers), Genetic Associations and Epidemiology (25 papers), Genomics and Phylogenetic Studies (21 papers), High Altitude and Hypoxia (19 papers), Forensic Anthropology and Bioarchaeology Studies (17 papers), Epigenetics and DNA Methylation (12 papers) and Race, Genetics, and Society (11 papers). The work is most often cited by research in Genetics (4.3k citations), Archeology (959 citations), Paleontology (415 citations), Anthropology (369 citations) and Cancer Research (475 citations). Bing Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jin Li, Hong Shi, Ranajit Chakraborty, Chunjie Xiao, Lei Shi, Peter A. Underhill, Daru Lu, Ranjan Deka, Hua Zhong and Wen Wang. Their work appears in journals such as Molecular Biology and Evolution, PLoS ONE, The American Journal of Human Genetics, National Science Review and Schizophrenia Research.
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.