Bryan A. Anthony
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Parasitology top 5%
- Toxoplasma gondii Research Studies
Papers in
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Mast cells and histamine 1
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- Cytomegalovirus and herpesvirus research 2
- Co-authors
- Daniel C. Link (4 shared papers)Jeffrey A. Bluestone (2 shared papers)Marc Martínez‐Llordella (2 shared papers)Samantha L. Bailey-Bucktrout (2 shared papers)Peter Ruminski (1 shared paper)Dan Davini (1 shared paper)Xuyu Zhou (1 shared paper)Hervé Luche (1 shared paper)
- Journals
- PLoS ONE (2 papers)Nature Communications (1 paper)Trends in Immunology (1 paper)PLoS Pathogens (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Bryan A. Anthony
11 papers receiving 1.3k citations
Bryan A. Anthony's Hit Papers
Peers
Comparison fields: 5 of 85
- Immunology 787
- Parasitology 128
- Hematology 121
- Genetics 97
- Oncology 170
Countries citing papers authored by Bryan A. Anthony
This map shows the geographic impact of Bryan A. Anthony'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 Bryan A. Anthony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan A. Anthony more than expected).
Fields of papers citing papers by Bryan A. Anthony
This network shows the impact of papers produced by Bryan A. Anthony. 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 Bryan A. Anthony. The network helps show where Bryan A. Anthony may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan A. Anthony, 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 | Neuropilin-1 distinguishes natural and inducible regulatory T cells among regulatory T cell subsets in vivo Hit paper breakdown → | 2012 | 523 |
| 2 | 2013 | 298 | |
| 3 | 2013 | 217 | |
| 4 | 2017 | 77 | |
| 5 | 2017 | 65 | |
| 6 | 2019 | 30 | |
| 7 | 2015 | 26 | |
| 8 | 2016 | 20 | |
| 9 | 2014 | 18 | |
| 10 | 2011 | 13 | |
| 11 | 2012 | 3 |
About Bryan A. Anthony
Bryan A. Anthony is a scholar working on Immunology, Epidemiology, Hematology, Parasitology and Molecular Biology, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Toxoplasma gondii Research Studies (2 papers), Acute Myeloid Leukemia Research (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Immunology (787 citations), Parasitology (128 citations), Hematology (121 citations), Genetics (97 citations) and Oncology (170 citations). Bryan A. Anthony has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Daniel C. Link, Jeffrey A. Bluestone, Marc Martínez‐Llordella, Samantha L. Bailey-Bucktrout, Peter Ruminski, Dan Davini, Xuyu Zhou, Hervé Luche, Richard D. Head and Daniel J. Kuster. Their work appears in journals such as PLoS ONE, Nature Communications, Trends in Immunology, PLoS Pathogens 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.