Alex Chen
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
-
- COVID-19 epidemiological studies 2
- Co-authors
- Jean‐Michel Morel (1 shared paper)Jérôme Darbon (1 shared paper)M. Gregory Forest (3 shared papers)Jiandong Luo (1 shared paper)Timothy Wessler (2 shared papers)Youngjin Kwon (1 shared paper)Gaoxing Luo (1 shared paper)Fred M Kusumoto (1 shared paper)
- Journals
- Nature (4 papers)Journal of Theoretical Biology (3 papers)Science (2 papers)Journal of Number Theory (1 paper)Molecular Metabolism (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Alex Chen
25 papers receiving 2.7k citations
Alex Chen's Hit Papers
Peers
Comparison fields: 5 of 103
- Infectious Diseases 2.2k
- Modeling and Simulation 40
- General Dentistry 2
- Earth-Surface Processes 36
- Structural Biology 7
Countries citing papers authored by Alex Chen
This map shows the geographic impact of Alex Chen'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 Alex Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Chen more than expected).
Fields of papers citing papers by Alex Chen
This network shows the impact of papers produced by Alex Chen. 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 Alex Chen. The network helps show where Alex Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Chen, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Broadly neutralizing antibodies overcome SARS-CoV-2 Omicron antigenic shift Hit paper breakdown → | 2021 | 884 |
| 2 | N-terminal domain antigenic mapping reveals a site of vulnerability for SARS-CoV-2 Hit paper breakdown → | 2021 | 688 |
| 3 | SARS-CoV-2 immune evasion by the B.1.427/B.1.429 variant of concern Hit paper breakdown → | 2021 | 336 |
| 4 | 2021 | 184 | |
| 5 | 2020 | 152 | |
| 6 | Neutralization, effector function and immune imprinting of Omicron variants Hit paper breakdown → | 2023 | 105 |
| 7 | 2014 | 95 | |
| 8 | 2023 | 58 | |
| 9 | PerfIso: Performance Isolation for Commercial Latency-Sensitive Services | 2018 | 46 |
| 10 | 2022 | 44 | |
| 11 | 2004 | 40 | |
| 12 | 2022 | 13 | |
| 13 | 2023 | 13 | |
| 14 | 2003 | 12 | |
| 15 | 2022 | 10 | |
| 16 | 2004 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2025 | 4 | |
| 20 | A Community College Model of Student Immigration, Language, GPA, and Course Completion. | 2002 | 3 |
About Alex Chen
Alex Chen is a scholar working on Infectious Diseases, Modeling and Simulation, Virology, Computer Networks and Communications and Information Systems, having authored 27 papers that have together received 2.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Network Traffic and Congestion Control (2 papers), COVID-19 epidemiological studies (2 papers), Reinforcement Learning in Robotics (1 paper), Medical, Sociocultural, and Biopolitical Studies (1 paper), Geological formations and processes (1 paper), Advanced Battery Materials and Technologies (1 paper) and Lipoproteins and Cardiovascular Health (1 paper). The work is most often cited by research in Infectious Diseases (2.2k citations), Modeling and Simulation (40 citations), General Dentistry (2 citations), Earth-Surface Processes (36 citations) and Structural Biology (7 citations). Alex Chen has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Jean‐Michel Morel, Jérôme Darbon, M. Gregory Forest, Jiandong Luo, Timothy Wessler, Youngjin Kwon, Gaoxing Luo, Fred M Kusumoto, Sameh Elnikety and Reza Azimi. Their work appears in journals such as Nature, Journal of Theoretical Biology, Science, Journal of Number Theory and Molecular Metabolism.
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.