Jesse D. Bloom
- Infectious Diseases top 0.1%
- SARS-CoV-2 and COVID-19 Research 44
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms 27
- vaccines and immunoinformatics approaches 23
- Protein Structure and Dynamics 15
- Modeling and Simulation top 0.5%
- Virology top 2%
- Animal Science and Zoology top 0.5%
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- Influenza Virus Research Studies 48
- Respiratory viral infections research 26
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- Monoclonal and Polyclonal Antibodies Research 17
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- Evolution and Genetic Dynamics 17
- Co-authors
- Frances H. ArnoldAllison J. GreaneyTyler N. StarrAdam S. DingensKatharine H. D. CrawfordChristopher R. OteyClaus O. WilkeD. Allan Drummond
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Jesse D. Bloom
145 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Infectious Diseases 5.7k
- Molecular Biology 6.9k
- Modeling and Simulation 448
- Virology 429
- Animal Science and Zoology 910
Countries citing papers authored by Jesse D. Bloom
This map shows the geographic impact of Jesse D. Bloom'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 Jesse D. Bloom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse D. Bloom more than expected).
Fields of papers citing papers by Jesse D. Bloom
This network shows the impact of papers produced by Jesse D. Bloom. 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 Jesse D. Bloom. The network helps show where Jesse D. Bloom may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jesse D. Bloom, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 73 | |
| 10 | 2021 | 32 | |
| 11 | Prospective mapping of viral mutations that escape antibodies used to treat COVID-19breakdown → | 2021 | 448 |
| 12 | 2021 | 24 | |
| 13 | 2020 | 152 | |
| 14 | 2020 | 38 | |
| 15 | 2018 | 117 | |
| 16 | 2018 | 13 | |
| 17 | Permissive Secondary Mutations Enable the Evolution of Influenza Oseltamivir Resistancebreakdown → | 2010 | 511 |
| 18 | Protein stability promotes evolvabilitybreakdown → | 2006 | 913 |
| 19 | Why highly expressed proteins evolve slowlybreakdown → | 2005 | 610 |
| 20 | 2005 | 271 |
About Jesse D. Bloom
Jesse D. Bloom is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 148 papers that have together received 13.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (48 papers), SARS-CoV-2 and COVID-19 Research (44 papers), RNA and protein synthesis mechanisms (27 papers), Respiratory viral infections research (26 papers), vaccines and immunoinformatics approaches (23 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), Evolution and Genetic Dynamics (17 papers) and Protein Structure and Dynamics (15 papers). The work is most often cited by research in Infectious Diseases (5.7k citations), Molecular Biology (6.9k citations) and Modeling and Simulation (448 citations). Jesse D. Bloom has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Frances H. Arnold, Allison J. Greaney, Tyler N. Starr, Adam S. Dingens, Katharine H. D. Crawford, Christopher R. Otey, Claus O. Wilke, D. Allan Drummond, Christoph Adami and David Baltimore. Their work appears in journals such as eLife, Journal of Virology, PLoS Pathogens, Virus Evolution and Viruses.
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.