Hannah E. Volkman
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
- Aquaculture disease management and microbiota
- Immune cells in cancer
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
Papers in
-
- interferon and immune responses 5
- Immune responses and vaccinations 2
- Immune Response and Inflammation 2
- Immunotherapy and Immune Responses 1
-
- Tuberculosis Research and Epidemiology 6
- Co-authors
- Daniel B. Stetson (5 shared papers)Lalita Ramakrishnan (6 shared papers)Hilary Clay (2 shared papers)Stephanie Cambier (3 shared papers)Elizabeth Gray (3 shared papers)J. Muse Davis (1 shared paper)John F. Rawls (2 shared papers)Tamara C. Pozos (2 shared papers)
- Journals
- Infection and Immunity (2 papers)Immunity (2 papers)The Journal of Immunology (1 paper)PLoS Biology (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Hannah E. Volkman
11 papers receiving 2.0k citations
Hannah E. Volkman's Hit Papers
Peers
Comparison fields: 5 of 111
- Immunology 1.1k
- Infectious Diseases 776
- Epidemiology 571
- Molecular Medicine 59
- Cell Biology 188
Countries citing papers authored by Hannah E. Volkman
This map shows the geographic impact of Hannah E. Volkman'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 Hannah E. Volkman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah E. Volkman more than expected).
Fields of papers citing papers by Hannah E. Volkman
This network shows the impact of papers produced by Hannah E. Volkman. 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 Hannah E. Volkman. The network helps show where Hannah E. Volkman may publish in the future.
Co-authors
The 24 scholars most cited alongside Hannah E. Volkman, 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 | 2009 | 370 | |
| 2 | 2008 | 305 | |
| 3 | 2006 | 258 | |
| 4 | 2004 | 249 | |
| 5 | 2014 | 239 | |
| 6 | 2019 | 233 | |
| 7 | 2017 | 186 | |
| 8 | New frontiers in the cGAS-STING intracellular DNA-sensing pathway Hit paper breakdown → | 2024 | 173 |
| 9 | 2023 | 12 | |
| 10 | 2007 | 4 | |
| 11 | 2009 | 1 |
About Hannah E. Volkman
Hannah E. Volkman is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), interferon and immune responses (5 papers), Mycobacterium research and diagnosis (3 papers), Immune responses and vaccinations (2 papers), Viral Infections and Immunology Research (2 papers), Immune Response and Inflammation (2 papers), RNA regulation and disease (2 papers) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (1.1k citations), Infectious Diseases (776 citations), Epidemiology (571 citations), Molecular Medicine (59 citations) and Cell Biology (188 citations). Hannah E. Volkman has collaborated with scholars based in United States. Frequent co-authors include Daniel B. Stetson, Lalita Ramakrishnan, Hilary Clay, Stephanie Cambier, Elizabeth Gray, J. Muse Davis, John F. Rawls, Tamara C. Pozos, Lynn Connolly and Olivier Humbert. Their work appears in journals such as Infection and Immunity, Immunity, The Journal of Immunology, PLoS Biology and Nature Structural & Molecular Biology.
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.