Sen Pei
Impact in
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 epidemiological studies 35
- Epidemiology 25
- Data-Driven Disease Surveillance 13
- Influenza Virus Research Studies 13
- Co-authors
- Jeffrey Shaman (35 shared papers)Wan Yang (6 shared papers)Ruiyun Li (1 shared paper)Бин Чэн (1 shared paper)Yimeng Song (1 shared paper)Hernán A. Makse (7 shared papers)Sasikiran Kandula (9 shared papers)Teresa K. Yamana (6 shared papers)
- Journals
- PLoS Computational Biology (8 papers)Physica A Statistical Mechanics and its Applications (7 papers)Nature Communications (6 papers)PLoS ONE (4 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Sen Pei
83 papers receiving 4.2k citations
Sen Pei's Hit Papers
Peers
Comparison fields: 5 of 160
- Modeling and Simulation 1.9k
- Infectious Diseases 1.2k
- Statistical and Nonlinear Physics 674
- General Dentistry 39
- Epidemiology 670
Countries citing papers authored by Sen Pei
This map shows the geographic impact of Sen Pei'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 Sen Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Pei more than expected).
Fields of papers citing papers by Sen Pei
This network shows the impact of papers produced by Sen Pei. 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 Sen Pei. The network helps show where Sen Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Pei, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) Hit paper breakdown → | 2020 | 2325 |
| 2 | 2020 | 217 | |
| 3 | 2013 | 196 | |
| 4 | 2013 | 149 | |
| 5 | 2021 | 119 | |
| 6 | 2018 | 108 | |
| 7 | 2021 | 95 | |
| 8 | 2020 | 50 | |
| 9 | 2015 | 50 | |
| 10 | 2020 | 46 | |
| 11 | 2016 | 46 | |
| 12 | 2021 | 45 | |
| 13 | 2018 | 45 | |
| 14 | 2013 | 43 | |
| 15 | 2018 | 41 | |
| 16 | 2017 | 32 | |
| 17 | 2018 | 30 | |
| 18 | 2022 | 28 | |
| 19 | 2021 | 28 | |
| 20 | 2012 | 28 |
About Sen Pei
Sen Pei is a scholar working on Modeling and Simulation, Epidemiology, Statistical and Nonlinear Physics, Infectious Diseases and Sociology and Political Science, having authored 91 papers that have together received 4.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (35 papers), Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (19 papers), Data-Driven Disease Surveillance (13 papers), Influenza Virus Research Studies (13 papers), Mosquito-borne diseases and control (5 papers), Social Media and Politics (4 papers) and Climate variability and models (4 papers). The work is most often cited by research in Modeling and Simulation (1.9k citations), Infectious Diseases (1.2k citations), Statistical and Nonlinear Physics (674 citations), General Dentistry (39 citations) and Epidemiology (670 citations). Sen Pei has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jeffrey Shaman, Wan Yang, Ruiyun Li, Бин Чэн, Yimeng Song, Hernán A. Makse, Sasikiran Kandula, Teresa K. Yamana, Shaoting Tang and Zhiming Zheng. Their work appears in journals such as PLoS Computational Biology, Physica A Statistical Mechanics and its Applications, Nature Communications, PLoS ONE and Chaos An Interdisciplinary Journal of Nonlinear Science.
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.