C. David O’Connor

2.7k citations
61 papers · 2.2k · h-index 27

Impact in

    • Escherichia coli research studies
    • Vibrio bacteria research studies
    • Reproductive tract infections research

Papers in

    • Genomics and Phylogenetic Studies 10
    • RNA and protein synthesis mechanisms 7
    • Bacteriophages and microbial interactions 9
    • Microbial Community Ecology and Physiology 8

C. David O’Connor

59 papers receiving 2.1k citations

Peers

C. David O’Connor
Comparison fields: 5 of 124
  • Endocrinology 319
  • Microbiology 374
  • Molecular Medicine 116
  • Genetics 444
  • Ecology 383
Replace Scott C. Kachlany with:
Scott C. Kachlany United States
Karl G. Wooldridge United Kingdom
Rajendar Deora United States
Richard Moxon United Kingdom
Sabine Gronow Germany
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Stuart A. Thompson United States
Nancy J. Phillips United States
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Citations per field
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Citations per year

Countries citing papers authored by C. David O’Connor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with C. David O’Connor Line = papers co-authored together C. David O’Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007177
2 2009130
3 2011101
4 2001100
5 200399
6 200695
7 200590
8 199883
9 200181
10 198271
11 200668
12 199065
13 199563
14 201062
15 200054
16 199653
17 198747
18 198944
19 199041
20 201340

About C. David O’Connor

C. David O’Connor is a scholar working on Molecular Biology, Ecology, Genetics, Spectroscopy and Microbiology, having authored 61 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Genomics and Phylogenetic Studies (10 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 Advanced Proteomics Techniques and Applications (6 papers). The work is most often cited by research in Endocrinology (319 citations), Microbiology (374 citations), Molecular Medicine (116 citations), Genetics (444 citations) and Ecology (383 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, Soila Sukupolvi, Joshua D. Jones, Andrew J. Grant, G. O. Humphreys, Ian N. Clarke, Kenneth N. Timmis, Arthur J.G. Moir and Niamh Kinsella. Their work appears in journals such as Molecular Microbiology, PROTEOMICS, Biochemical Journal, Electrophoresis and Infection and Immunity.

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.

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