Casey M. O’Connor

1.0k citations
41 papers · 748 · h-index 12

Impact in

    • Hepatitis C virus research
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • Protein Structure and Dynamics

Papers in

    • Orthopaedic implants and arthroplasty 5
    • Hip and Femur Fractures 5
    • Total Knee Arthroplasty Outcomes 4
    • Pelvic and Acetabular Injuries 3
    • Protein Kinase Regulation and GTPase Signaling 4
    • Receptor Mechanisms and Signaling 3
    • Ion channel regulation and function 3

Casey M. O’Connor

40 papers receiving 735 citations

Peers

Casey M. O’Connor
Comparison fields: 5 of 108
  • Hepatology 42
  • Molecular Biology 304
  • Oncology 98
  • Cellular and Molecular Neuroscience 66
  • Rehabilitation 22
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Citations per field
00.5×5.3×
Soojin Kim · 1×
Citations per year

Countries citing papers authored by Casey M. O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Casey M. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Casey M. 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 Casey M. O’Connor Line = papers co-authored together Casey M. 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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011127
2 202099
3 201576
4 200864
5 202056
6 201650
7 201933
8 201522
9 201921
10 202317
11 202013
12 201212
13 202011
14 201111
15 201510
16 202310
17 202010
18 202210
19 20209
20 20219

About Casey M. O’Connor

Casey M. O’Connor is a scholar working on Surgery, Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology and Oncology, having authored 41 papers that have together received 748 indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (5 papers), Hip and Femur Fractures (5 papers), Total Knee Arthroplasty Outcomes (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Receptor Mechanisms and Signaling (3 papers), Ion channel regulation and function (3 papers), Pelvic and Acetabular Injuries (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Hepatology (42 citations), Molecular Biology (304 citations), Oncology (98 citations), Cellular and Molecular Neuroscience (66 citations) and Rehabilitation (22 citations). Casey M. O’Connor has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Evgenii L. Kovrigin, Afshin A. Anoushiravani, Matthew R. DiCaprio, Richard Iorio, William Healy, David Ring, Kurt Wüthrich, Raymond C. Stevens, Sándor Vajda and Greg Buhrman. Their work appears in journals such as The Journal of Arthroplasty, JBJS Reviews, Hand, Biochemistry and Current Reviews in Musculoskeletal 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.

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