Jeffrey P. Rasmussen
- Immunology top 0.2%
- Molecular Biology top 10%
- Oncology top 2%
- Genetics top 5%
- Cancer Research top 5%
- Co-authors
- Alexander Y. RudenskyJason D. FontenotMarc A. GavinJeong KimAndrew G. FarrLuke M. WilliamsJames DooleyVincent C. Manganiello
- Topics
- Immune Cell Function and Interaction (8 papers)T-cell and B-cell Immunology (8 papers)Immunotherapy and Immune Responses (5 papers)
- Cited by
- ImmunologyAgingOncology
- Partner nations
- United StatesBelgiumAustralia
In The Last Decade
Jeffrey P. Rasmussen
24 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 6.4k
- Molecular Biology 1.1k
- Oncology 1.1k
- Genetics 620
- Cancer Research 426
Countries citing papers authored by Jeffrey P. Rasmussen
This map shows the geographic impact of Jeffrey P. Rasmussen'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 Jeffrey P. Rasmussen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey P. Rasmussen more than expected).
Fields of papers citing papers by Jeffrey P. Rasmussen
This network shows the impact of papers produced by Jeffrey P. Rasmussen. 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 Jeffrey P. Rasmussen. The network helps show where Jeffrey P. Rasmussen may publish in the future.
Co-authorship network of co-authors of Jeffrey P. Rasmussen
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey P. Rasmussen. A scholar is included among the top collaborators of Jeffrey P. Rasmussen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey P. Rasmussen. Jeffrey P. Rasmussen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 49 | |
| 10 | 65 | |
| 11 | 46 | |
| 12 | 20 | |
| 13 | 24 | |
| 14 | Regulatory T Cell-Derived Interleukin-10 Limits Inflammation at Environmental Interfacesbreakdown → | 1207 |
| 15 | 57 | |
| 16 | Foxp3-dependent programme of regulatory T-cell differentiationbreakdown → | 914 |
| 17 | 123 | |
| 18 | Regulatory T cells prevent catastrophic autoimmunity throughout the lifespan of micebreakdown → | 1398 |
| 19 | Regulatory T Cell Lineage Specification by the Forkhead Transcription Factor Foxp3breakdown → | 1868 |
| 20 | A function for interleukin 2 in Foxp3-expressing regulatory T cellsbreakdown → | 1425 |
About Jeffrey P. Rasmussen
Jeffrey P. Rasmussen is a scholar working on Aging, Immunology and Cell Biology, having authored 25 papers that have together received 7.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Immunology (6.4k citations), Aging (87 citations) and Oncology (1.1k citations). Jeffrey P. Rasmussen has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include Alexander Y. Rudensky, Jason D. Fontenot, Marc A. Gavin, Jeong Kim, Andrew G. Farr, Luke M. Williams, James Dooley, Vincent C. Manganiello, Valeria Vasta and Joseph A. Beavo. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.