Kyle L. Brown
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
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- Carcinogens and Genotoxicity Assessment
Papers in
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- DNA Repair Mechanisms 6
- DNA and Nucleic Acid Chemistry 5
- Renal and related cancers 3
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- Cell Adhesion Molecules Research 5
- Co-authors
- Michael P. Stone (10 shared papers)Billy G. Hudson (8 shared papers)Sergei Chetyrkin (2 shared papers)Paul Voziyan (5 shared papers)Vadim Pedchenko (3 shared papers)Roberto Vanacore (2 shared papers)Ashis K. Basu (3 shared papers)Thomas M. Harris (3 shared papers)
- Journals
- Journal of the American Chemical Society (4 papers)Chemical Research in Toxicology (3 papers)Bone (2 papers)The Journal of Cell Biology (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Kyle L. Brown
25 papers receiving 722 citations
Peers
Comparison fields: 5 of 97
- Immunology and Allergy 119
- Cancer Research 113
- Aging 12
- Cell Biology 109
- Molecular Biology 361
Countries citing papers authored by Kyle L. Brown
This map shows the geographic impact of Kyle L. Brown'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 Kyle L. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle L. Brown more than expected).
Fields of papers citing papers by Kyle L. Brown
This network shows the impact of papers produced by Kyle L. Brown. 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 Kyle L. Brown. The network helps show where Kyle L. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle L. Brown, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 136 | |
| 2 | 2017 | 59 | |
| 3 | 2016 | 56 | |
| 4 | 2015 | 55 | |
| 5 | 2006 | 53 | |
| 6 | 2011 | 36 | |
| 7 | 2009 | 32 | |
| 8 | 2009 | 31 | |
| 9 | 2008 | 28 | |
| 10 | 2013 | 27 | |
| 11 | 2011 | 27 | |
| 12 | 2008 | 25 | |
| 13 | 2020 | 24 | |
| 14 | 2016 | 23 | |
| 15 | 2009 | 21 | |
| 16 | 2009 | 18 | |
| 17 | 2022 | 16 | |
| 18 | 2018 | 15 | |
| 19 | 2015 | 11 | |
| 20 | 2024 | 8 |
About Kyle L. Brown
Kyle L. Brown is a scholar working on Molecular Biology, Immunology and Allergy, Plant Science, Organic Chemistry and Clinical Biochemistry, having authored 26 papers that have together received 731 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), DNA and Nucleic Acid Chemistry (5 papers), Cell Adhesion Molecules Research (5 papers), Mycotoxins in Agriculture and Food (4 papers), Renal and related cancers (3 papers), Advanced Glycation End Products research (3 papers), Cellular Mechanics and Interactions (3 papers) and Synthesis and Biological Evaluation (3 papers). The work is most often cited by research in Immunology and Allergy (119 citations), Cancer Research (113 citations), Aging (12 citations), Cell Biology (109 citations) and Molecular Biology (361 citations). Kyle L. Brown has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Michael P. Stone, Billy G. Hudson, Sergei Chetyrkin, Paul Voziyan, Vadim Pedchenko, Roberto Vanacore, Ashis K. Basu, Thomas M. Harris, W. Gray Jerome and Antonis Rokas. Their work appears in journals such as Journal of the American Chemical Society, Chemical Research in Toxicology, Bone, The Journal of Cell Biology and Nucleic Acids Research.
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.