Tom A. Barr
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Parasitology top 2%
- Parasites and Host Interactions
Papers in
- Immunology 24
- Immunotherapy and Immune Responses 13
- T-cell and B-cell Immunology 13
- Immune Cell Function and Interaction 8
- Immune Response and Inflammation 8
-
- Parasites and Host Interactions 5
- Co-authors
- David GrayStephen M. AndertonSheila BrownMohini GrayRichard A. O’ConnorAndrew W. HeathRick M. MaizelsAmit Bar‐Or
- Journals
- The Journal of Immunology (5 papers)Immunology (5 papers)Vaccine (3 papers)European Journal of Immunology (3 papers)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Tom A. Barr
28 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 1.2k
- Parasitology 288
- Immunology and Allergy 96
- Microbiology 97
- Pathology and Forensic Medicine 228
Countries citing papers authored by Tom A. Barr
This map shows the geographic impact of Tom A. Barr'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 Tom A. Barr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom A. Barr more than expected).
Fields of papers citing papers by Tom A. Barr
This network shows the impact of papers produced by Tom A. Barr. 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 Tom A. Barr. The network helps show where Tom A. Barr may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom A. Barr, 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 | 35 | |
| 2 | 2017 | 17 | |
| 3 | 2017 | 44 | |
| 4 | 2013 | 35 | |
| 5 | 2012 | 38 | |
| 6 | 2012 | 23 | |
| 7 | 2012 | 152 | |
| 8 | 2010 | 221 | |
| 9 | 2010 | 7 | |
| 10 | 2010 | 158 | |
| 11 | 2009 | 96 | |
| 12 | 2009 | 50 | |
| 13 | Innate responses of B cells | 2008 | 1 |
| 14 | 2008 | 13 | |
| 15 | 2007 | 58 | |
| 16 | 2005 | 4 | |
| 17 | 2005 | 16 | |
| 18 | 2004 | 14 | |
| 19 | 2002 | 6 | |
| 20 | 2001 | 26 |
About Tom A. Barr
Tom A. Barr is a scholar working on Immunology, Parasitology, Endocrinology, Microbiology and Food Science, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (8 papers), Immune Response and Inflammation (8 papers), Parasites and Host Interactions (5 papers), Salmonella and Campylobacter epidemiology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Immunology (1.2k citations), Parasitology (288 citations), Immunology and Allergy (96 citations), Microbiology (97 citations) and Pathology and Forensic Medicine (228 citations). Tom A. Barr has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include David Gray, Stephen M. Anderton, Sheila Brown, Mohini Gray, Richard A. O’Connor, Andrew W. Heath, Rick M. Maizels, Amit Bar‐Or, Vicky Lampropoulou and Simon Fillatreau. Their work appears in journals such as The Journal of Immunology, Immunology, Vaccine, European Journal of Immunology and The Journal of Experimental Medicine.
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.