Patricia Simms
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
- Immunology 15
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Oncology 10
- CAR-T cell therapy research 7
- Co-authors
- Theresa L. Whiteside (3 shared papers)Tom Ellis (2 shared papers)Laurent Müller (2 shared papers)Masato Mitsuhashi (1 shared paper)William E. Gooding (1 shared paper)Richard I. Fisher (2 shared papers)Chang‐Sook Hong (2 shared papers)Edwin K. Jackson (2 shared papers)
- Journals
- The Journal of Immunology (3 papers)Scientific Reports (2 papers)Journal of Leukocyte Biology (2 papers)Cancer Immunology Immunotherapy (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Patricia Simms
19 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Immunology 693
- Cancer Research 472
- Molecular Biology 819
- Oncology 291
- Immunology and Allergy 53
Countries citing papers authored by Patricia Simms
This map shows the geographic impact of Patricia Simms'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 Patricia Simms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Simms more than expected).
Fields of papers citing papers by Patricia Simms
This network shows the impact of papers produced by Patricia Simms. 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 Patricia Simms. The network helps show where Patricia Simms may publish in the future.
Co-authors
The 25 scholars most cited alongside Patricia Simms, 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 | 2016 | 269 | |
| 2 | 2014 | 178 | |
| 3 | 1993 | 177 | |
| 4 | 2017 | 174 | |
| 5 | 1996 | 157 | |
| 6 | 2017 | 137 | |
| 7 | 1989 | 66 | |
| 8 | 2016 | 58 | |
| 9 | 2016 | 45 | |
| 10 | 2014 | 39 | |
| 11 | 2015 | 37 | |
| 12 | 2018 | 33 | |
| 13 | 2016 | 16 | |
| 14 | 2017 | 15 | |
| 15 | 2018 | 9 | |
| 16 | 2000 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 1996 | 1 |
About Patricia Simms
Patricia Simms is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Cancer Research, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), CAR-T cell therapy research (7 papers), Extracellular vesicles in disease (4 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Virus-based gene therapy research (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Immunology (693 citations), Cancer Research (472 citations), Molecular Biology (819 citations), Oncology (291 citations) and Immunology and Allergy (53 citations). Patricia Simms has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Theresa L. Whiteside, Tom Ellis, Laurent Müller, Masato Mitsuhashi, William E. Gooding, Richard I. Fisher, Chang‐Sook Hong, Edwin K. Jackson, Michael I. Nishimura and Thomas M. Ellis. Their work appears in journals such as The Journal of Immunology, Scientific Reports, Journal of Leukocyte Biology, Cancer Immunology Immunotherapy and Cancer Research.
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.