Bin Peng
Impact in
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 19
- HIV, Drug Use, Sexual Risk 7
- Liver Disease Diagnosis and Treatment 4
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- Bioinformatics and Genomic Networks 4
- RNA modifications and cancer 3
- Co-authors
- Mengjie Dong (2 shared papers)Zhen-Feng Liu (1 shared paper)Jiajia Chen (1 shared paper)Hao Liu (1 shared paper)Xili Lu (1 shared paper)Bo Zhang (1 shared paper)Jun Zhao (1 shared paper)Runhua Wang (1 shared paper)
- Journals
- PLoS ONE (6 papers)BMC Infectious Diseases (3 papers)BMJ Open (3 papers)International Journal of Infectious Diseases (2 papers)International Journal of Environmental Research and Public Health (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Peng
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 124
- Infectious Diseases 286
- Modeling and Simulation 63
- Virology 55
- Epidemiology 335
- Nephrology 55
Countries citing papers authored by Bin Peng
This map shows the geographic impact of Bin Peng'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 Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Peng more than expected).
Fields of papers citing papers by Bin Peng
This network shows the impact of papers produced by Bin Peng. 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 Peng. The network helps show where Bin Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Peng, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 155 | |
| 2 | 2007 | 106 | |
| 3 | 2000 | 61 | |
| 4 | 2014 | 60 | |
| 5 | 2017 | 56 | |
| 6 | 2020 | 51 | |
| 7 | 2019 | 35 | |
| 8 | 2018 | 33 | |
| 9 | 2012 | 31 | |
| 10 | 2015 | 29 | |
| 11 | 2015 | 26 | |
| 12 | 2016 | 25 | |
| 13 | 2011 | 24 | |
| 14 | 2019 | 24 | |
| 15 | 2015 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2016 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2020 | 18 |
About Bin Peng
Bin Peng is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (7 papers), HIV, Drug Use, Sexual Risk (7 papers), Liver Disease Diagnosis and Treatment (4 papers), Bioinformatics and Genomic Networks (4 papers), Genetic Associations and Epidemiology (3 papers), RNA modifications and cancer (3 papers), Birth, Development, and Health (3 papers) and Dementia and Cognitive Impairment Research (3 papers). The work is most often cited by research in Infectious Diseases (286 citations), Modeling and Simulation (63 citations), Virology (55 citations), Epidemiology (335 citations) and Nephrology (55 citations). Bin Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mengjie Dong, Zhen-Feng Liu, Jiajia Chen, Hao Liu, Xili Lu, Bo Zhang, Jun Zhao, Runhua Wang, Yanrong Zhou and Rong Luo. Their work appears in journals such as PLoS ONE, BMC Infectious Diseases, BMJ Open, International Journal of Infectious Diseases and International Journal of Environmental Research and Public Health.
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.