Eli Silvert
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
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- Vaccine Coverage and Hesitancy
Papers in
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- SARS-CoV-2 and COVID-19 Research 7
- Viral gastroenteritis research and epidemiology 2
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- vaccines and immunoinformatics approaches 2
- Co-authors
- Andrew D. Badley (6 shared papers)John C. O’Horo (6 shared papers)Patrick J. Lenehan (6 shared papers)Venky Soundararajan (7 shared papers)John Halamka (4 shared papers)AJ Venkatakrishnan (6 shared papers)Melanie D. Swift (4 shared papers)Michiel J.M. Niesen (4 shared papers)
- Journals
- CHEST Journal (2 papers)Scientific Reports (1 paper)JAMA Network Open (1 paper)JCO Clinical Cancer Informatics (1 paper)ESMO Open (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Eli Silvert
9 papers receiving 108 citations
Peers
Comparison fields: 5 of 32
- Infectious Diseases 89
- Health 31
- Modeling and Simulation 13
- Animal Science and Zoology 16
- Toxicology 2
Countries citing papers authored by Eli Silvert
This map shows the geographic impact of Eli Silvert'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 Eli Silvert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Silvert more than expected).
Fields of papers citing papers by Eli Silvert
This network shows the impact of papers produced by Eli Silvert. 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 Eli Silvert. The network helps show where Eli Silvert may publish in the future.
Co-authors
The 25 scholars most cited alongside Eli Silvert, 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 | 2021 | 40 | |
| 2 | 2021 | 22 | |
| 3 | 2022 | 20 | |
| 4 | 2022 | 11 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2021 | 0 |
About Eli Silvert
Eli Silvert is a scholar working on Infectious Diseases, Molecular Biology, Health, Pulmonary and Respiratory Medicine and Oncology, having authored 14 papers that have together received 110 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Vaccine Coverage and Hesitancy (2 papers), vaccines and immunoinformatics approaches (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Metabolism and Genetic Disorders (1 paper), Machine Learning in Healthcare (1 paper), Multiple Myeloma Research and Treatments (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Infectious Diseases (89 citations), Health (31 citations), Modeling and Simulation (13 citations), Animal Science and Zoology (16 citations) and Toxicology (2 citations). Eli Silvert has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Andrew D. Badley, John C. O’Horo, Patrick J. Lenehan, Venky Soundararajan, John Halamka, AJ Venkatakrishnan, Melanie D. Swift, Michiel J.M. Niesen, Arjun Puranik and Abinash Virk. Their work appears in journals such as CHEST Journal, Scientific Reports, JAMA Network Open, JCO Clinical Cancer Informatics and ESMO Open.
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.