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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- COVID-19 epidemiological studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 7
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- vaccines and immunoinformatics approaches 2
- Co-authors
- John C. O’Horo (6 shared papers)Andrew D. Badley (6 shared papers)Patrick J. Lenehan (6 shared papers)Venky Soundararajan (7 shared papers)John Halamka (4 shared papers)Melanie D. Swift (4 shared papers)Michiel J.M. Niesen (4 shared papers)AJ Venkatakrishnan (6 shared papers)
- Journals
- CHEST Journal (2 papers)JCO Clinical Cancer Informatics (1 paper)JCO Global Oncology (1 paper)JAMA Network Open (1 paper)Blood (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Eli Silvert
10 papers receiving 114 citations
Peers
Comparison fields: 5 of 28
- Infectious Diseases 80
- Modeling and Simulation 10
- Health 16
- Toxicology 5
- Animal Science and Zoology 12
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 | 13 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2026 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 0 | |
| 16 | 2021 | 0 |
About Eli Silvert
Eli Silvert is a scholar working on Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Health, having authored 16 papers that have together received 116 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Pulmonary Hypertension Research and Treatments (2 papers), vaccines and immunoinformatics approaches (2 papers), Vaccine Coverage and Hesitancy (1 paper), Metabolism and Genetic Disorders (1 paper), Biosimilars and Bioanalytical Methods (1 paper), Multiple Myeloma Research and Treatments (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Infectious Diseases (80 citations), Modeling and Simulation (10 citations), Health (16 citations), Toxicology (5 citations) and Animal Science and Zoology (12 citations). Eli Silvert has collaborated with scholars based in United States and Switzerland. Frequent co-authors include John C. O’Horo, Andrew D. Badley, Patrick J. Lenehan, Venky Soundararajan, John Halamka, Melanie D. Swift, Michiel J.M. Niesen, AJ Venkatakrishnan, Arjun Puranik and Leigh L. Speicher. Their work appears in journals such as CHEST Journal, JCO Clinical Cancer Informatics, JCO Global Oncology, JAMA Network Open and Blood.
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.