Eric W. Wang
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
-
- Long-Term Effects of COVID-19 2
- Co-authors
- Alessandro Sette (8 shared papers)April Frazier (7 shared papers)Ricardo da Silva Antunes (8 shared papers)Esther Dawen Yu (7 shared papers)Alba Grifoni (4 shared papers)Aaron Sutherland (5 shared papers)Daniela Weiskopf (2 shared papers)José Mateus (2 shared papers)
- Journals
- Cell Host & Microbe (3 papers)JCI Insight (2 papers)Human Immunology (1 paper)The Journal of Infectious Diseases (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Eric W. Wang
11 papers receiving 672 citations
Eric W. Wang's Hit Papers
Peers
Comparison fields: 5 of 45
- Infectious Diseases 566
- Modeling and Simulation 48
- Immunology 169
- Health 41
- Neurology 75
Countries citing papers authored by Eric W. Wang
This map shows the geographic impact of Eric W. Wang'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 Eric W. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric W. Wang more than expected).
Fields of papers citing papers by Eric W. Wang
This network shows the impact of papers produced by Eric W. Wang. 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 Eric W. Wang. The network helps show where Eric W. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric W. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Impact of SARS-CoV-2 variants on the total CD4+ and CD8+ T cell reactivity in infected or vaccinated individuals Hit paper breakdown → | 2021 | 514 |
| 2 | 2021 | 61 | |
| 3 | 2022 | 38 | |
| 4 | 2022 | 28 | |
| 5 | 2021 | 15 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 7 | |
| 8 | 2024 | 4 | |
| 9 | 2021 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 1998 | 1 |
About Eric W. Wang
Eric W. Wang is a scholar working on Infectious Diseases, Neurology, Immunology and Allergy, Physiology and Modeling and Simulation, having authored 11 papers that have together received 687 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Asthma and respiratory diseases (3 papers), Long-Term Effects of COVID-19 (2 papers), Allergic Rhinitis and Sensitization (2 papers), Infection Control and Ventilation (1 paper), Contact Dermatitis and Allergies (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Infectious Diseases (566 citations), Modeling and Simulation (48 citations), Immunology (169 citations), Health (41 citations) and Neurology (75 citations). Eric W. Wang has collaborated with scholars based in United States and Italy. Frequent co-authors include Alessandro Sette, April Frazier, Ricardo da Silva Antunes, Esther Dawen Yu, Alba Grifoni, Aaron Sutherland, Daniela Weiskopf, José Mateus, Lakshmanane Premkumar and Tara M. Narowski. Their work appears in journals such as Cell Host & Microbe, JCI Insight, Human Immunology, The Journal of Infectious Diseases and Cell Reports Medicine.
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.