Brian O’Connor

780 citations
23 papers · 671 · h-index 15

Impact in

  • Physiology top 2%
    • Reproductive biology and impacts on aquatic species
    • Advanced Cellulose Research Studies
    • Nanocomposite Films for Food Packaging
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Brian O’Connor

23 papers receiving 608 citations

Peers

Brian O’Connor
Comparison fields: 5 of 84
  • Physiology 127
  • Biomaterials 248
  • Health, Toxicology and Mutagenesis 226
  • Nature and Landscape Conservation 134
  • Pollution 119
Replace Sabine Zok with:
Sabine Zok Germany
Omidvar Farhadian Iran
Shelby A. Flint United States
G. Mori Italy
Musa Abubakar Tadda China
Maricor J. Arlos Canada
Jae-Ho Choi South Korea
Cristiana Roberta Multisanti Italy
Laiyuan Zhong China
Akihisa Tabata Japan
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Citations per field
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Citations per year

Countries citing papers authored by Brian O’Connor

Since Specialization
Citations

This map shows the geographic impact of Brian 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 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 O’Connor more than expected).

Fields of papers citing papers by Brian O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian 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 O’Connor. The network helps show where Brian O’Connor may publish in the future.

Co-authors

The 25 scholars most cited alongside Brian 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 Brian O’Connor Line = papers co-authored together Brian 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010218
2 199561
3 199740
4 201440
5 199439
6 199231
7 201126
8 201125
9 199524
10 199224
11 201019
12 201419
13 201117
14 201314
15 200814
16 199512
17 199211
18 201711
19 20009
20 20049

About Brian O’Connor

Brian O’Connor is a scholar working on Health, Toxicology and Mutagenesis, Nature and Landscape Conservation, Physiology, Aquatic Science and Pollution, having authored 23 papers that have together received 671 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (11 papers), Fish Ecology and Management Studies (8 papers), Reproductive biology and impacts on aquatic species (5 papers), Aquaculture Nutrition and Growth (3 papers), Enzyme-mediated dye degradation (3 papers), Lignin and Wood Chemistry (3 papers), Water Quality Monitoring and Analysis (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). The work is most often cited by research in Physiology (127 citations), Biomaterials (248 citations), Health, Toxicology and Mutagenesis (226 citations), Nature and Landscape Conservation (134 citations) and Pollution (119 citations). Brian O’Connor has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include P. Martel, R.H. Voss, Tibor Kovács, T Kovács, Vance L. Trudeau, C. Blaise, François Gagné, L. Mark Hewitt, Deborah L. MacLatchy and Louis A. Tremblay. Their work appears in journals such as Environmental Toxicology and Chemistry, Environmental Science & Technology, Water Quality Research Journal, Journal of Environmental Science and Health Part A and Water 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.

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