Jeremy J. Barr
- Microbiology top 0.2%
- Microbial infections and disease research 17
- Ecology top 0.2%
- Bacteriophages and microbial interactions 45
- Microbial Community Ecology and Physiology 7
- Molecular Medicine top 1%
- Endocrinology top 1%
- Infectious Diseases top 2%
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- Monoclonal and Polyclonal Antibodies Research 12
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- Genomics and Phylogenetic Studies 11
- Gut microbiota and health 8
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- Plant Virus Research Studies 8
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- Wastewater Treatment and Nitrogen Removal 6
- Co-authors
- Fernando Gordillo AltamiranoForest RohwerMerry YoulePhilip L. BondNatasha BonillaPeter SalamonJonas D. Van BelleghemPaul L. Bollyky
- Journals
- Proceedings of the National Academy of Sciences (3 papers)mSystems (3 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Jeremy J. Barr
64 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Microbiology 902
- Ecology 3.4k
- Molecular Medicine 433
- Endocrinology 359
- Infectious Diseases 927
Countries citing papers authored by Jeremy J. Barr
This map shows the geographic impact of Jeremy J. 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 Jeremy J. Barr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy J. Barr more than expected).
Fields of papers citing papers by Jeremy J. Barr
This network shows the impact of papers produced by Jeremy J. 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 Jeremy J. Barr. The network helps show where Jeremy J. Barr may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeremy J. 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 | 2026 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 22 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 30 | |
| 12 | 2021 | 46 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 48 | |
| 15 | 2021 | 20 | |
| 16 | 2020 | 106 | |
| 17 | Interactions between Bacteriophage, Bacteria, and the Mammalian Immune Systembreakdown → | 2018 | 278 |
| 18 | Bacteriophage Transcytosis Provides a Mechanism To Cross Epithelial Cell Layersbreakdown → | 2017 | 264 |
| 19 | 2016 | 240 | |
| 20 | 2010 | 35 |
About Jeremy J. Barr
Jeremy J. Barr is a scholar working on Microbiology, Ecology and Molecular Medicine, having authored 68 papers that have together received 4.6k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (45 papers), Microbial infections and disease research (17 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Genomics and Phylogenetic Studies (11 papers), Plant Virus Research Studies (8 papers), Gut microbiota and health (8 papers), Microbial Community Ecology and Physiology (7 papers) and Wastewater Treatment and Nitrogen Removal (6 papers). The work is most often cited by research in Microbiology (902 citations), Ecology (3.4k citations) and Molecular Medicine (433 citations). Jeremy J. Barr has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Fernando Gordillo Altamirano, Forest Rohwer, Merry Youle, Philip L. Bond, Natasha Bonilla, Peter Salamon, Jonas D. Van Belleghem, Paul L. Bollyky, Krystyna Dąbrowska and Mario Vaneechoutte. Their work appears in journals such as Proceedings of the National Academy of Sciences, mSystems, Frontiers in Microbiology, Scientific Reports and The ISME Journal.
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.