Jonathan T. Sims
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Dermatology top 5%
- Dermatology and Skin Diseases
Papers in
-
- Dermatology and Skin Diseases 7
-
- Chronic Myeloid Leukemia Treatments 6
- Co-authors
- Rina Plattner (8 shared papers)Divyamani Srinivasan (3 shared papers)Sourik S. Ganguly (4 shared papers)Jason A. Carlyon (3 shared papers)Sarah Engle (7 shared papers)Shaojing Ye (2 shared papers)Dori L. Borjesson (2 shared papers)Bernice Huang (2 shared papers)
- Journals
- Journal of Allergy and Clinical Immunology (2 papers)Oncogene (2 papers)Cancer Research (2 papers)Microbial Pathogenesis (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Jonathan T. Sims
28 papers receiving 735 citations
Peers
Comparison fields: 5 of 89
- Parasitology 78
- Dermatology 106
- Immunology and Allergy 68
- Hematology 118
- Infectious Diseases 137
Countries citing papers authored by Jonathan T. Sims
This map shows the geographic impact of Jonathan T. Sims'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 Jonathan T. Sims with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan T. Sims more than expected).
Fields of papers citing papers by Jonathan T. Sims
This network shows the impact of papers produced by Jonathan T. Sims. 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 Jonathan T. Sims. The network helps show where Jonathan T. Sims may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan T. Sims, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 107 | |
| 2 | 2007 | 96 | |
| 3 | 2013 | 95 | |
| 4 | 2011 | 56 | |
| 5 | 2010 | 44 | |
| 6 | 2010 | 35 | |
| 7 | 2009 | 33 | |
| 8 | 2022 | 32 | |
| 9 | 2010 | 31 | |
| 10 | 2021 | 29 | |
| 11 | 2007 | 28 | |
| 12 | 2023 | 24 | |
| 13 | 2009 | 22 | |
| 14 | 2006 | 22 | |
| 15 | 2022 | 16 | |
| 16 | 1978 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 8 |
About Jonathan T. Sims
Jonathan T. Sims is a scholar working on Dermatology, Hematology, Molecular Biology, Physiology and Oncology, having authored 29 papers that have together received 741 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Asthma and respiratory diseases (5 papers), Allergic Rhinitis and Sensitization (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), HER2/EGFR in Cancer Research (3 papers), Click Chemistry and Applications (3 papers) and Vector-borne infectious diseases (3 papers). The work is most often cited by research in Parasitology (78 citations), Dermatology (106 citations), Immunology and Allergy (68 citations), Hematology (118 citations) and Infectious Diseases (137 citations). Jonathan T. Sims has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Rina Plattner, Divyamani Srinivasan, Sourik S. Ganguly, Jason A. Carlyon, Sarah Engle, Shaojing Ye, Dori L. Borjesson, Bernice Huang, Matthew J. Troese and George H. Rodgers. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Oncogene, Cancer Research, Microbial Pathogenesis and International Journal of Radiation Oncology*Biology*Physics.
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.