Kurt B. Pruner
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- Immune Cell Function and Interaction 3
- Immune responses and vaccinations 3
- T-cell and B-cell Immunology 2
- Immunotherapy and Immune Responses 1
-
- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 1
- Co-authors
- Marion Pepper (5 shared papers)Mikel Ruterbusch (2 shared papers)Laila Shehata (1 shared paper)Malika Hale (2 shared papers)Michael Gale (2 shared papers)Peter A. Morawski (2 shared papers)Mitchell L. Fahning (2 shared papers)Helen Y. Chu (2 shared papers)
- Journals
- The Journal of Experimental Medicine (2 papers)Annual Review of Immunology (1 paper)Cell (1 paper)Transplantation Direct (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Kurt B. Pruner
6 papers receiving 526 citations
Kurt B. Pruner's Hit Papers
Peers
Comparison fields: 5 of 78
- Immunology 256
- Infectious Diseases 137
- Oncology 81
- Health 19
- Modeling and Simulation 11
Countries citing papers authored by Kurt B. Pruner
This map shows the geographic impact of Kurt B. Pruner'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 Kurt B. Pruner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kurt B. Pruner more than expected).
Fields of papers citing papers by Kurt B. Pruner
This network shows the impact of papers produced by Kurt B. Pruner. 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 Kurt B. Pruner. The network helps show where Kurt B. Pruner may publish in the future.
Co-authors
The 25 scholars most cited alongside Kurt B. Pruner, 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 | In Vivo CD4 + T Cell Differentiation and Function: Revisiting the Th1/Th2 Paradigm Hit paper breakdown → | 2020 | 392 |
| 2 | 2022 | 116 | |
| 3 | 2021 | 16 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 2 | |
| 6 | 2022 | 1 |
About Kurt B. Pruner
Kurt B. Pruner is a scholar working on Immunology, Infectious Diseases, Health, Physiology and Organic Chemistry, having authored 6 papers that have together received 530 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Immune responses and vaccinations (3 papers), T-cell and B-cell Immunology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (1 paper), Vaccine Coverage and Hesitancy (1 paper), Immunotherapy and Immune Responses (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Immunology (256 citations), Infectious Diseases (137 citations), Oncology (81 citations), Health (19 citations) and Modeling and Simulation (11 citations). Kurt B. Pruner has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Marion Pepper, Mikel Ruterbusch, Laila Shehata, Malika Hale, Michael Gale, Peter A. Morawski, Mitchell L. Fahning, Helen Y. Chu, Julie Eggenberger and Jennifer K. Logue. Their work appears in journals such as The Journal of Experimental Medicine, Annual Review of Immunology, Cell, Transplantation Direct and SSRN Electronic Journal.
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.