David Barr
- Occupational Therapy top 0.5%
- Occupational Health and Performance 7
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology 8
- Livestock and Poultry Management 6
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 19
- Emergency Medical Services top 2%
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- Pneumocystis jirovecii pneumonia detection and treatment 11
- Mycobacterium research and diagnosis 7
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- Infectious Diseases and Tuberculosis 8
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- Antibiotics Pharmacokinetics and Efficacy 7
- Co-authors
- R.A. SeatonWarren GregsonThomas ReillyR. L. ReeceDenise L. SmithStefanos N. KalesGraeme MeintjesCharlotte Schutz
- Journals
- Australian Veterinary Journal (10 papers)Veterinary Record (5 papers)The Journal of Infectious Diseases (3 papers)
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
David Barr
83 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 149
- Applied Microbiology and Biotechnology 180
- Occupational Therapy 321
- Animal Science and Zoology 310
- Infectious Diseases 499
- Emergency Medical Services 141
Countries citing papers authored by David Barr
This map shows the geographic impact of David 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 David Barr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Barr more than expected).
Fields of papers citing papers by David Barr
This network shows the impact of papers produced by David 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 David Barr. The network helps show where David Barr may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 17 | |
| 10 | 2019 | 6 | |
| 11 | 2013 | 14 | |
| 12 | 2013 | 7 | |
| 13 | 2013 | 79 | |
| 14 | 2012 | 9 | |
| 15 | 2010 | 56 | |
| 16 | 1991 | 64 | |
| 17 | 1988 | 21 | |
| 18 | 1988 | 16 | |
| 19 | 1987 | 19 | |
| 20 | Exploration Case History of a Disseminated Copper Deposit | 1966 | 1 |
About David Barr
David Barr is a scholar working on Animal Science and Zoology, Occupational Therapy and Infectious Diseases, having authored 90 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (19 papers), Pneumocystis jirovecii pneumonia detection and treatment (11 papers), Infectious Diseases and Tuberculosis (8 papers), Animal Nutrition and Physiology (8 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Occupational Health and Performance (7 papers), Mycobacterium research and diagnosis (7 papers) and Livestock and Poultry Management (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (180 citations), Occupational Therapy (321 citations) and Animal Science and Zoology (310 citations). David Barr has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include R.A. Seaton, Warren Gregson, Thomas Reilly, R. L. Reece, Denise L. Smith, Stefanos N. Kales, Graeme Meintjes, Charlotte Schutz, C.J. Duncan and K. J. Fahey. Their work appears in journals such as Australian Veterinary Journal, Veterinary Record, The Journal of Infectious Diseases, Clinical Infectious Diseases and Scientific Reports.
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.