Mary O’Connor

761 citations
28 papers · 515 · h-index 14

Impact in

  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism
    • Biochemical Acid Research Studies
    • Brucella: diagnosis, epidemiology, treatment

Papers in

    • Microbial metabolism and enzyme function 7
    • Microbial Metabolic Engineering and Bioproduction 4
    • Enzyme Catalysis and Immobilization 3
    • Biochemical Acid Research Studies 3
    • Amino Acid Enzymes and Metabolism 3

Mary O’Connor

28 papers receiving 463 citations

Peers

Mary O’Connor
Comparison fields: 5 of 99
  • Biochemistry 67
  • Small Animals 37
  • Molecular Biology 272
  • Renewable Energy, Sustainability and the Environment 50
  • Inorganic Chemistry 37
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Mary O’Connor relative to Erika Pineda Mexico Erika Pineda's profile →
Citations per field
00.5×9.3×
Erika Pineda · 1×
Citations per year

Countries citing papers authored by Mary O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Mary O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mary 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 Mary O’Connor Line = papers co-authored together Mary 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201763
2 197751
3 201948
4 198032
5 198032
6 197530
7 197829
8 197726
9 201623
10 200221
11 199021
12 198021
13 197921
14 201813
15 197313
16 201712
17 197111
18 198110
19 19839
20 20207

About Mary O’Connor

Mary O’Connor is a scholar working on Molecular Biology, Biochemistry, Small Animals, Oncology and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 515 indexed citations. Recurring topics across this work include Microbial metabolism and enzyme function (7 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Enzyme Catalysis and Immobilization (3 papers), Biochemical Acid Research Studies (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Brucella: diagnosis, epidemiology, treatment (3 papers), Cancer survivorship and care (3 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Biochemistry (67 citations), Small Animals (37 citations), Molecular Biology (272 citations), Renewable Energy, Sustainability and the Environment (50 citations) and Inorganic Chemistry (37 citations). Mary O’Connor has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include R S Hanson, David Cella, J. R. Quayle, Timothy Pearman, Daniel K. Mroczek, Jennifer L. Beaumont, Nan Rothrock, Ashley Wilder Smith, Susan Yount and Karon F. Cook. Their work appears in journals such as Veterinary Record, Applied and Environmental Microbiology, Cancer, ACS Infectious Diseases and Journal of Cancer Survivorship.

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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