Nathaniel Barton
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Reproductive System and Pregnancy
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- CAR-T cell therapy research
Papers in
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- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
- Single-cell and spatial transcriptomics 1
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- interferon and immune responses 1
- Co-authors
- Michael B. Brenner (2 shared papers)Raju V. V. Tatituri (2 shared papers)Gerald F. Watts (2 shared papers)Manfred Brigl (2 shared papers)Veemal Bhowruth (2 shared papers)Fong‐Fu Hsu (2 shared papers)Gurdyal S. Besra (2 shared papers)Nadia Cohen (1 shared paper)
- Journals
- Alzheimer s & Dementia (1 paper)Scientific Reports (1 paper)Cells (1 paper)The Journal of Experimental Medicine (1 paper)Human Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Nathaniel Barton
8 papers receiving 329 citations
Peers
Comparison fields: 5 of 45
- Immunology 302
- Oncology 51
- Epidemiology 45
- Hematology 14
- Infectious Diseases 21
Countries citing papers authored by Nathaniel Barton
This map shows the geographic impact of Nathaniel Barton'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 Nathaniel Barton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel Barton more than expected).
Fields of papers citing papers by Nathaniel Barton
This network shows the impact of papers produced by Nathaniel Barton. 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 Nathaniel Barton. The network helps show where Nathaniel Barton may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathaniel Barton, 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 | 2011 | 217 | |
| 2 | 2013 | 96 | |
| 3 | 2021 | 7 | |
| 4 | 2021 | 6 | |
| 5 | 2023 | 2 | |
| 6 | 2024 | 1 | |
| 7 | To Arm or Not to Arm the Kurds: A Look as U.S. National Security Interests in Kurdistan | 2018 | 1 |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 |
About Nathaniel Barton
Nathaniel Barton is a scholar working on Molecular Biology, Immunology, Political Science and International Relations, Oncology and Epidemiology, having authored 9 papers that have together received 332 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Single-cell and spatial transcriptomics (1 paper), interferon and immune responses (1 paper), Alzheimer's disease research and treatments (1 paper) and Turkey's Politics and Society (1 paper). The work is most often cited by research in Immunology (302 citations), Oncology (51 citations), Epidemiology (45 citations), Hematology (14 citations) and Infectious Diseases (21 citations). Nathaniel Barton has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael B. Brenner, Raju V. V. Tatituri, Gerald F. Watts, Manfred Brigl, Veemal Bhowruth, Fong‐Fu Hsu, Gurdyal S. Besra, Nadia Cohen, Elizabeth A. Leadbetter and Alissa C. Rothchild. Their work appears in journals such as Alzheimer s & Dementia, Scientific Reports, Cells, The Journal of Experimental Medicine and Human Genetics.
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.