Haley E. Randolph
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Health top 2%
- Vaccine Coverage and Hesitancy
Papers in
-
- Immune responses and vaccinations 4
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 2
- interferon and immune responses 1
-
- Single-cell and spatial transcriptomics 1
- Signaling Pathways in Disease 1
- Co-authors
- Luis B. Barreiro (7 shared papers)Lily Zhang (1 shared paper)Jonathan J. Hodgins (1 shared paper)Joy Hsu (1 shared paper)John C. Bell (1 shared paper)Michael W. McBurney (1 shared paper)Troy N. Trevino (1 shared paper)Marie‐Claude Bourgeois‐Daigneault (1 shared paper)
- Journals
- Cell Genomics (1 paper)Science (1 paper)Current Opinion in Genetics & Development (1 paper)Immunity (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Haley E. Randolph
8 papers receiving 1.5k citations
Haley E. Randolph's Hit Papers
Peers
Comparison fields: 5 of 121
- Modeling and Simulation 303
- Health 388
- Immunology 628
- Infectious Diseases 503
- Oncology 472
Countries citing papers authored by Haley E. Randolph
This map shows the geographic impact of Haley E. Randolph'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 Haley E. Randolph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haley E. Randolph more than expected).
Fields of papers citing papers by Haley E. Randolph
This network shows the impact of papers produced by Haley E. Randolph. 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 Haley E. Randolph. The network helps show where Haley E. Randolph may publish in the future.
Co-authors
The 25 scholars most cited alongside Haley E. Randolph, 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 | Herd Immunity: Understanding COVID-19 Hit paper breakdown → | 2020 | 753 |
| 2 | Contribution of NK cells to immunotherapy mediated by PD-1/PD-L1 blockade Hit paper breakdown → | 2018 | 609 |
| 3 | 2019 | 98 | |
| 4 | 2021 | 57 | |
| 5 | 2018 | 22 | |
| 6 | 2022 | 8 | |
| 7 | 2024 | 3 | |
| 8 | 2021 | 1 | |
| 9 | 2025 | 0 |
About Haley E. Randolph
Haley E. Randolph is a scholar working on Immunology, Molecular Biology, Oncology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune responses and vaccinations (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (2 papers), interferon and immune responses (1 paper), Single-cell and spatial transcriptomics (1 paper), Signaling Pathways in Disease (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Modeling and Simulation (303 citations), Health (388 citations), Immunology (628 citations), Infectious Diseases (503 citations) and Oncology (472 citations). Haley E. Randolph has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Luis B. Barreiro, Lily Zhang, Jonathan J. Hodgins, Joy Hsu, John C. Bell, Michael W. McBurney, Troy N. Trevino, Marie‐Claude Bourgeois‐Daigneault, Alexandre Iannello and Camillia S. Azimi. Their work appears in journals such as Cell Genomics, Science, Current Opinion in Genetics & Development, Immunity and Cell Reports.
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.