Brian D. O’Connor
Impact in
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- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Protein Structure and Dynamics
Papers in
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- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 3
- Biomedical Text Mining and Ontologies 2
- Bioinformatics and Genomic Networks 2
- Genetics 4
- Co-authors
- Stanley F. Nelson (5 shared papers)Barry Merriman (4 shared papers)Todd O. Yeates (3 shared papers)Hane Lee (3 shared papers)Zugen Chen (2 shared papers)Nils Homer (2 shared papers)L. Jeanne Perry (1 shared paper)Daniel R. Boutz (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)The American Journal of Human Genetics (1 paper)BMC Genomics (1 paper)PLoS Biology (1 paper)FEBS Journal (1 paper)
- Partner nations
- United StatesFranceSingapore
In The Last Decade
Brian D. O’Connor
14 papers receiving 826 citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 516
- Cancer Research 110
- Genetics 68
- Immunology and Allergy 37
- Cell Biology 94
Countries citing papers authored by Brian D. O’Connor
This map shows the geographic impact of Brian D. O’Connor'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 D. O’Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian D. O’Connor more than expected).
Fields of papers citing papers by Brian D. O’Connor
This network shows the impact of papers produced by Brian D. O’Connor. 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 D. O’Connor. The network helps show where Brian D. O’Connor may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian D. O’Connor, 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 | 2010 | 214 | |
| 2 | 2005 | 160 | |
| 3 | 2018 | 105 | |
| 4 | 2010 | 65 | |
| 5 | 2009 | 61 | |
| 6 | 2010 | 59 | |
| 7 | 2007 | 49 | |
| 8 | 2009 | 33 | |
| 9 | 2008 | 30 | |
| 10 | 2004 | 25 | |
| 11 | 2005 | 23 | |
| 12 | 2021 | 10 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 2 |
About Brian D. O’Connor
Brian D. O’Connor is a scholar working on Molecular Biology, Genetics, Information Systems, Information Systems and Management and Physiology, having authored 14 papers that have together received 843 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Gene expression and cancer classification (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (2 papers), Asthma and respiratory diseases (2 papers), Enzyme Structure and Function (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Molecular Biology (516 citations), Cancer Research (110 citations), Genetics (68 citations), Immunology and Allergy (37 citations) and Cell Biology (94 citations). Brian D. O’Connor has collaborated with scholars based in United States, France and Singapore. Frequent co-authors include Stanley F. Nelson, Barry Merriman, Todd O. Yeates, Hane Lee, Zugen Chen, Nils Homer, L. Jeanne Perry, Daniel R. Boutz, Michael J. Clark and Morgan Beeby. Their work appears in journals such as Nucleic Acids Research, The American Journal of Human Genetics, BMC Genomics, PLoS Biology and FEBS 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.