Kenneth Barr
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
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- CAR-T cell therapy research
Papers in
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- Genomics and Chromatin Dynamics 7
- Single-cell and spatial transcriptomics 5
- Gene Regulatory Network Analysis 5
- RNA Research and Splicing 4
- CRISPR and Genetic Engineering 4
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- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Co-authors
- Fanyong Meng (2 shared papers)Rebecca Mathew (3 shared papers)Michael P. Seiler (1 shared paper)Albert Bendelac (3 shared papers)Chauncey J. Spooner (1 shared paper)Megan K. Liszewski (1 shared paper)Klaus Griewank (1 shared paper)John Reinitz (5 shared papers)
- Journals
- eLife (2 papers)Molecular Immunology (2 papers)Methods (1 paper)Cell Genomics (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesSouth KoreaBrazil
In The Last Decade
Kenneth Barr
16 papers receiving 582 citations
Peers
Comparison fields: 5 of 75
- Immunology 340
- Oncology 89
- Genetics 84
- Molecular Biology 192
- Biophysics 14
Countries citing papers authored by Kenneth Barr
This map shows the geographic impact of Kenneth 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 Kenneth Barr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Barr more than expected).
Fields of papers citing papers by Kenneth Barr
This network shows the impact of papers produced by Kenneth 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 Kenneth Barr. The network helps show where Kenneth Barr may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth 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 | 2012 | 170 | |
| 2 | 2011 | 150 | |
| 3 | 2018 | 60 | |
| 4 | 2020 | 45 | |
| 5 | 2022 | 36 | |
| 6 | 2013 | 32 | |
| 7 | 2020 | 21 | |
| 8 | 2021 | 14 | |
| 9 | 2017 | 10 | |
| 10 | 2013 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2017 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2019 | 5 | |
| 15 | 2024 | 2 | |
| 16 | 2013 | 1 |
About Kenneth Barr
Kenneth Barr is a scholar working on Molecular Biology, Immunology, Oncology, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 16 papers that have together received 583 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Single-cell and spatial transcriptomics (5 papers), Gene Regulatory Network Analysis (5 papers), RNA Research and Splicing (4 papers), CRISPR and Genetic Engineering (4 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (340 citations), Oncology (89 citations), Genetics (84 citations), Molecular Biology (192 citations) and Biophysics (14 citations). Kenneth Barr has collaborated with scholars based in United States, South Korea and Brazil. Frequent co-authors include Fanyong Meng, Rebecca Mathew, Michael P. Seiler, Albert Bendelac, Chauncey J. Spooner, Megan K. Liszewski, Klaus Griewank, John Reinitz, Seddon Y. Thomas and Seth Thomas Scanlon. Their work appears in journals such as eLife, Molecular Immunology, Methods, Cell Genomics and Current Biology.
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.