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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- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Protein Structure and Dynamics 2
- Biomedical Text Mining and Ontologies 2
- Genetics 4
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Stanley F. Nelson (5 shared papers)Barry Merriman (4 shared papers)Todd O. Yeates (3 shared papers)Hane Lee (3 shared papers)Nils Homer (2 shared papers)Zugen Chen (2 shared papers)Morgan Beeby (1 shared paper)L. Jeanne Perry (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)PLoS Biology (1 paper)G3 Genes Genomes Genetics (1 paper)The American Journal of Human Genetics (1 paper)American Journal of Respiratory and Critical Care Medicine (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Brian D. O’Connor
15 papers receiving 891 citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 506
- Cancer Research 94
- Genetics 66
- Cell Biology 94
- Immunology and Allergy 32
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 | 226 | |
| 2 | 2005 | 176 | |
| 3 | 2018 | 110 | |
| 4 | 2010 | 70 | |
| 5 | 2010 | 70 | |
| 6 | 2009 | 65 | |
| 7 | 2007 | 50 | |
| 8 | 2008 | 35 | |
| 9 | 2009 | 33 | |
| 10 | 2005 | 28 | |
| 11 | 2004 | 25 | |
| 12 | 2021 | 12 | |
| 13 | 2024 | 9 | |
| 14 | 2023 | 3 | |
| 15 | 2016 | 1 |
About Brian D. O’Connor
Brian D. O’Connor is a scholar working on Molecular Biology, Genetics, Information Systems and Management, Information Systems and Materials Chemistry, having authored 15 papers that have together received 913 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Gene expression and cancer classification (2 papers), Enzyme Structure and Function (2 papers), Bioinformatics and Genomic Networks (2 papers), Protein Structure and Dynamics (2 papers), Research Data Management Practices (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Molecular Biology (506 citations), Cancer Research (94 citations), Genetics (66 citations), Cell Biology (94 citations) and Immunology and Allergy (32 citations). Brian D. O’Connor has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Stanley F. Nelson, Barry Merriman, Todd O. Yeates, Hane Lee, Nils Homer, Zugen Chen, Morgan Beeby, L. Jeanne Perry, Daniel R. Boutz and Ascia Eskin. Their work appears in journals such as Nucleic Acids Research, PLoS Biology, G3 Genes Genomes Genetics, The American Journal of Human Genetics and American Journal of Respiratory and Critical Care Medicine.
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.