Jared Feldman
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research 16
- Viral gastroenteritis research and epidemiology 3
- COVID-19 Clinical Research Studies 3
- Modeling and Simulation top 2%
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 4
- Health top 5%
- Immunology top 10%
- T-cell and B-cell Immunology 4
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- vaccines and immunoinformatics approaches 5
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- Influenza Virus Research Studies 3
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- CAR-T cell therapy research 2
- Co-authors
- Aaron G. SchmidtBlake M. HauserAlejandro B. BalazsEvan C. LamWilfredo F. García-BeltránA. John IafrateAdam D. NitidoKerri St. Denis
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Jared Feldman
23 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Infectious Diseases 2.2k
- Modeling and Simulation 191
- Animal Science and Zoology 299
- Health 205
- Immunology 419
Countries citing papers authored by Jared Feldman
This map shows the geographic impact of Jared Feldman'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 Jared Feldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared Feldman more than expected).
Fields of papers citing papers by Jared Feldman
This network shows the impact of papers produced by Jared Feldman. 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 Jared Feldman. The network helps show where Jared Feldman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jared Feldman, 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 | 1 | |
| 2 | 2024 | 40 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 15 | |
| 5 | mRNA-based COVID-19 vaccine boosters induce neutralizing immunity against SARS-CoV-2 Omicron variantbreakdown → | 2022 | 651 |
| 6 | 2022 | 4 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 28 | |
| 10 | 2021 | 77 | |
| 11 | 2021 | 12 | |
| 12 | Multiple SARS-CoV-2 variants escape neutralization by vaccine-induced humoral immunitybreakdown → | 2021 | 849 |
| 13 | 2021 | 13 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 94 | |
| 16 | 2020 | 153 | |
| 17 | 2020 | 407 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 57 | |
| 20 | 2017 | 25 |
About Jared Feldman
Jared Feldman is a scholar working on Infectious Diseases, Immunology, Animal Science and Zoology, Biotechnology and Modeling and Simulation, having authored 24 papers that have together received 2.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), vaccines and immunoinformatics approaches (5 papers), Animal Virus Infections Studies (4 papers), T-cell and B-cell Immunology (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Influenza Virus Research Studies (3 papers), COVID-19 Clinical Research Studies (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Modeling and Simulation (191 citations), Animal Science and Zoology (299 citations), Health (205 citations) and Immunology (419 citations). Jared Feldman has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Aaron G. Schmidt, Blake M. Hauser, Alejandro B. Balazs, Evan C. Lam, Wilfredo F. García-Beltrán, A. John Iafrate, Adam D. Nitido, Kerri St. Denis, Vivek Naranbhai and David J. Gregory. Their work appears in journals such as Cell, Science Immunology, Nature Communications, Cell Reports and ACS Central Science.
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.