Scott B. Lovitch
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
Papers in
- Immunology 14
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 8
- Genetics 4
- Diabetes and associated disorders 4
- Co-authors
- Arlene H. SharpePeter T. SageAlison M. PatersonEmil R. UnanueMarcia C. HaigisSteven P. GygiNoah DephoureVijay K. Kuchroo
- Journals
- The Journal of Immunology (4 papers)Blood (3 papers)Immunity (2 papers)The Journal of Experimental Medicine (2 papers)Cell Metabolism (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Scott B. Lovitch
30 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 1.5k
- Geriatrics and Gerontology 239
- Oncology 781
- Transplantation 37
- Cancer Research 186
Countries citing papers authored by Scott B. Lovitch
This map shows the geographic impact of Scott B. Lovitch'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 Scott B. Lovitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott B. Lovitch more than expected).
Fields of papers citing papers by Scott B. Lovitch
This network shows the impact of papers produced by Scott B. Lovitch. 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 Scott B. Lovitch. The network helps show where Scott B. Lovitch may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott B. Lovitch, 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 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 5 | |
| 4 | 2020 | 181 | |
| 5 | 2020 | 40 | |
| 6 | 2019 | 174 | |
| 7 | 2018 | 33 | |
| 8 | MHC proteins confer differential sensitivity to CTLA-4 and PD-1 blockade in untreated metastatic melanoma Hit paper breakdown → | 2018 | 408 |
| 9 | 2018 | 2 | |
| 10 | 2016 | 301 | |
| 11 | 2015 | 172 | |
| 12 | 2014 | 324 | |
| 13 | 2013 | 304 | |
| 14 | 2007 | 20 | |
| 15 | 2006 | 44 | |
| 16 | 2005 | 30 | |
| 17 | 2005 | 5 | |
| 18 | 2004 | 73 | |
| 19 | 2003 | 38 | |
| 20 | 2003 | 20 |
About Scott B. Lovitch
Scott B. Lovitch is a scholar working on Immunology, Genetics, Hematology, Dermatology and Pathology and Forensic Medicine, having authored 31 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (8 papers), Cancer Immunotherapy and Biomarkers (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers), CAR-T cell therapy research (4 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Immunology (1.5k citations), Geriatrics and Gerontology (239 citations), Oncology (781 citations), Transplantation (37 citations) and Cancer Research (186 citations). Scott B. Lovitch has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Arlene H. Sharpe, Peter T. Sage, Alison M. Paterson, Emil R. Unanue, Marcia C. Haigis, Steven P. Gygi, Noah Dephoure, Vijay K. Kuchroo, Pu Zheng and Scott J. Rodig. Their work appears in journals such as The Journal of Immunology, Blood, Immunity, The Journal of Experimental Medicine and Cell Metabolism.
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.