Aaron McCarty
Impact in
- Immunology top 10%
- Phagocytosis and Immune Regulation
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
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- CAR-T cell therapy research
Papers in
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- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- Phagocytosis and Immune Regulation 1
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- Machine Learning in Bioinformatics 1
- Co-authors
- Stephen T. Smale (4 shared papers)Irving L. Weissman (2 shared papers)David Eisenberg (1 shared paper)Gary Kleiger (1 shared paper)Christopher A. Klug (2 shared papers)K Hahm (2 shared papers)Bradley S. Cobb (2 shared papers)Amanda G. Fisher (2 shared papers)
- Journals
- Genes & Development (1 paper)Molecular Cell (1 paper)Mutation Research/DNAging (1 paper)The Journal of Immunology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Aaron McCarty
7 papers receiving 667 citations
Peers
Comparison fields: 5 of 59
- Immunology 338
- Oncology 138
- Molecular Biology 292
- Cancer Research 62
- Pathology and Forensic Medicine 68
Countries citing papers authored by Aaron McCarty
This map shows the geographic impact of Aaron McCarty'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 Aaron McCarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron McCarty more than expected).
Fields of papers citing papers by Aaron McCarty
This network shows the impact of papers produced by Aaron McCarty. 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 Aaron McCarty. The network helps show where Aaron McCarty may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron McCarty, 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 | 2017 | 242 | |
| 2 | 1998 | 209 | |
| 3 | 2003 | 99 | |
| 4 | 1996 | 81 | |
| 5 | 1999 | 29 | |
| 6 | 2003 | 18 | |
| 7 | 1999 | 6 |
About Aaron McCarty
Aaron McCarty is a scholar working on Immunology, Molecular Biology, Organic Chemistry, Pharmacology and Pathology and Forensic Medicine, having authored 7 papers that have together received 684 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Machine Learning in Bioinformatics (1 paper), Cancer Genomics and Diagnostics (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Genetic factors in colorectal cancer (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Immunology (338 citations), Oncology (138 citations), Molecular Biology (292 citations), Cancer Research (62 citations) and Pathology and Forensic Medicine (68 citations). Aaron McCarty has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Stephen T. Smale, Irving L. Weissman, David Eisenberg, Gary Kleiger, Christopher A. Klug, K Hahm, Bradley S. Cobb, Amanda G. Fisher, K. E. Brown and Koichi Akashi. Their work appears in journals such as Genes & Development, Molecular Cell, Mutation Research/DNAging, The Journal of Immunology and Proceedings of the National Academy of Sciences.
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.