C. David O’Connor
Impact in
- Microbiology top 1%
- Reproductive tract infections research
- Endocrinology top 1%
- Escherichia coli research studies
- Vibrio bacteria research studies
Papers in
-
- Genomics and Phylogenetic Studies 9
- RNA and protein synthesis mechanisms 7
- Ecology 17
- Bacteriophages and microbial interactions 9
- Microbial Community Ecology and Physiology 8
- Co-authors
- Paul Skipp (16 shared papers)Michele Farris (8 shared papers)Joshua D. Jones (1 shared paper)Soila Sukupolvi (4 shared papers)Andrew J. Grant (5 shared papers)Kenneth N. Timmis (2 shared papers)G. O. Humphreys (1 shared paper)Ian N. Clarke (3 shared papers)
- Journals
- Molecular Microbiology (6 papers)PROTEOMICS (5 papers)Biochemical Journal (5 papers)Electrophoresis (4 papers)Gene (3 papers)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
C. David O’Connor
58 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 124
- Microbiology 361
- Endocrinology 299
- Molecular Medicine 110
- Genetics 430
- Molecular Biology 929
Countries citing papers authored by C. David O’Connor
This map shows the geographic impact of C. David 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 C. David 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 C. David O’Connor more than expected).
Fields of papers citing papers by C. David O’Connor
This network shows the impact of papers produced by C. David 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 C. David O’Connor. The network helps show where C. David O’Connor may publish in the future.
Co-authors
The 25 scholars most cited alongside C. David 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
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 170 | |
| 2 | 2009 | 123 | |
| 3 | 2011 | 100 | |
| 4 | 2003 | 96 | |
| 5 | 2001 | 94 | |
| 6 | 2006 | 94 | |
| 7 | 2005 | 84 | |
| 8 | 1998 | 80 | |
| 9 | 2001 | 75 | |
| 10 | 2006 | 68 | |
| 11 | 1982 | 65 | |
| 12 | 1995 | 61 | |
| 13 | 1990 | 61 | |
| 14 | 2010 | 60 | |
| 15 | 2000 | 52 | |
| 16 | 1996 | 48 | |
| 17 | 1987 | 46 | |
| 18 | 1989 | 42 | |
| 19 | 1990 | 40 | |
| 20 | 2013 | 39 |
About C. David O’Connor
C. David O’Connor is a scholar working on Molecular Biology, Ecology, Genetics, Microbiology and Endocrinology, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Genomics and Phylogenetic Studies (9 papers), Bacteriophages and microbial interactions (9 papers), Microbial Community Ecology and Physiology (8 papers), RNA and protein synthesis mechanisms (7 papers), Antibiotic Resistance in Bacteria (6 papers), Escherichia coli research studies (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Microbiology (361 citations), Endocrinology (299 citations), Molecular Medicine (110 citations), Genetics (430 citations) and Molecular Biology (929 citations). C. David O’Connor has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Paul Skipp, Michele Farris, Joshua D. Jones, Soila Sukupolvi, Andrew J. Grant, Kenneth N. Timmis, G. O. Humphreys, Ian N. Clarke, Niamh Kinsella and Arthur J.G. Moir. Their work appears in journals such as Molecular Microbiology, PROTEOMICS, Biochemical Journal, Electrophoresis and Gene.
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.