Pan Peng
Impact in
- Microbiology top 10%
- Reproductive tract infections research
-
- HIV/AIDS Research and Interventions
Papers in
-
- Complexity and Algorithms in Graphs 12
- Advanced Graph Theory Research 6
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- Machine Learning and Algorithms 4
- Co-authors
- Fuchang Hong (4 shared papers)Hua Zhou (3 shared papers)Jinquan Cheng (2 shared papers)Yaomin Cai (1 shared paper)Hua Zhou (1 shared paper)Chen Xs (1 shared paper)Yuichi Yoshida (2 shared papers)Yan Ge (1 shared paper)
- Journals
- Sexually Transmitted Infections (2 papers)Sexually Transmitted Diseases (2 papers)Autophagy (1 paper)Drug Metabolism and Pharmacokinetics (1 paper)Electronics (1 paper)
- Partner nations
- ChinaUnited KingdomAustria
In The Last Decade
Pan Peng
36 papers receiving 305 citations
Peers
Comparison fields: 5 of 80
- Microbiology 34
- Infectious Diseases 83
- Physiology 98
- General Social Sciences 12
- Computational Mathematics 2
Countries citing papers authored by Pan Peng
This map shows the geographic impact of Pan 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 Pan Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Peng more than expected).
Fields of papers citing papers by Pan Peng
This network shows the impact of papers produced by Pan 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 Pan Peng. The network helps show where Pan Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 54 | |
| 2 | 2008 | 46 | |
| 3 | 2009 | 26 | |
| 4 | 2019 | 25 | |
| 5 | 2008 | 24 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 13 | |
| 9 | 2015 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2018 | 4 | |
| 16 | High risk behaviors among 458 men who have sex with men in Shenzhen | 2008 | 4 |
| 17 | [Nifedipine in preeclampsia for cesarean section]. | 1993 | 4 |
| 18 | 2024 | 3 | |
| 19 | Survey of HIV/AIDS related knowledge and high risk behavior among men who have sex with men in Shenzhen using respondent-driven sampling | 2009 | 3 |
| 20 | 2018 | 3 |
About Pan Peng
Pan Peng is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Epidemiology and Physiology, having authored 39 papers that have together received 312 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (12 papers), HIV/AIDS Research and Interventions (6 papers), Advanced Graph Theory Research (6 papers), HIV, Drug Use, Sexual Risk (6 papers), Optimization and Search Problems (5 papers), Syphilis Diagnosis and Treatment (5 papers), Complex Network Analysis Techniques (4 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Microbiology (34 citations), Infectious Diseases (83 citations), Physiology (98 citations), General Social Sciences (12 citations) and Computational Mathematics (2 citations). Pan Peng has collaborated with scholars based in China, United Kingdom and Austria. Frequent co-authors include Fuchang Hong, Hua Zhou, Jinquan Cheng, Yaomin Cai, Hua Zhou, Chen Xs, Yuichi Yoshida, Yan Ge, Monika Henzinger and Haiping Lu. Their work appears in journals such as Sexually Transmitted Infections, Sexually Transmitted Diseases, Autophagy, Drug Metabolism and Pharmacokinetics and Electronics.
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.