Brian Bothner
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
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- Antibiotic Resistance in Bacteria
Papers in
-
- Metabolomics and Mass Spectrometry Studies 5
- Bacterial biofilms and quorum sensing 2
- Genomics and Phylogenetic Studies 2
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- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Tatsuya Akiyama (1 shared paper)Michael J. Franklin (1 shared paper)Connie B. Chang (1 shared paper)Navid Movahed (2 shared papers)Jonathan K. Hilmer (4 shared papers)Valérie Copié (5 shared papers)Brian Tripet (4 shared papers)Walid S. Maaty (4 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Biomechanics (1 paper)Archaea (1 paper)Cell Reports (1 paper)Rapid Communications in Mass Spectrometry (1 paper)
- Partner nations
- United StatesUzbekistan
In The Last Decade
Brian Bothner
23 papers receiving 466 citations
Peers
Comparison fields: 5 of 113
- Endocrinology 44
- Molecular Medicine 22
- Molecular Biology 259
- Biotechnology 27
- Clinical Biochemistry 18
Countries citing papers authored by Brian Bothner
This map shows the geographic impact of Brian Bothner'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 Brian Bothner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Bothner more than expected).
Fields of papers citing papers by Brian Bothner
This network shows the impact of papers produced by Brian Bothner. 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 Brian Bothner. The network helps show where Brian Bothner may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Bothner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 188 | |
| 2 | 2015 | 45 | |
| 3 | 2020 | 35 | |
| 4 | 2012 | 27 | |
| 5 | 2015 | 21 | |
| 6 | 2017 | 20 | |
| 7 | 2015 | 19 | |
| 8 | 2006 | 19 | |
| 9 | 2013 | 14 | |
| 10 | 2019 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2013 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2011 | 8 | |
| 15 | 2016 | 8 | |
| 16 | 2017 | 5 | |
| 17 | 2006 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2015 | 3 |
About Brian Bothner
Brian Bothner is a scholar working on Molecular Biology, Spectroscopy, Biomedical Engineering, Immunology and Ecology, having authored 24 papers that have together received 468 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Microbial Community Ecology and Physiology (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Bacterial biofilms and quorum sensing (2 papers), Genomics and Phylogenetic Studies (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Endocrinology (44 citations), Molecular Medicine (22 citations), Molecular Biology (259 citations), Biotechnology (27 citations) and Clinical Biochemistry (18 citations). Brian Bothner has collaborated with scholars based in United States and Uzbekistan. Frequent co-authors include Tatsuya Akiyama, Michael J. Franklin, Connie B. Chang, Navid Movahed, Jonathan K. Hilmer, Valérie Copié, Brian Tripet, Walid S. Maaty, Timothy Hamerly and Connie I. Lord. Their work appears in journals such as Journal of Biological Chemistry, Journal of Biomechanics, Archaea, Cell Reports and Rapid Communications in Mass Spectrometry.
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.