William C. Schroer

27 total papers · 1.2k total citations
21 papers, 878 citations indexed

About

William C. Schroer is a scholar working on Surgery, Pharmacology and Oncology. According to data from OpenAlex, William C. Schroer has authored 21 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 1 paper in Pharmacology and 1 paper in Oncology. Recurrent topics in William C. Schroer's work include Total Knee Arthroplasty Outcomes (16 papers), Orthopaedic implants and arthroplasty (14 papers) and Orthopedic Infections and Treatments (8 papers). William C. Schroer is often cited by papers focused on Total Knee Arthroplasty Outcomes (16 papers), Orthopaedic implants and arthroplasty (14 papers) and Orthopedic Infections and Treatments (8 papers). William C. Schroer collaborates with scholars based in United States. William C. Schroer's co-authors include Angela R. LeMarr, Mary E. Reedy, Paul J. Diesfeld, Diane J. Morton, Keith R. Berend, C. Lowry Barnes, Merrill A. Ritter, Michael E. Berend, Michael P. Bolognesi and Adolph V. Lombardi and has published in prestigious journals such as Journal of Bone and Joint Surgery, Clinical Orthopaedics and Related Research and Journal of Shoulder and Elbow Surgery.

In The Last Decade

William C. Schroer

20 papers receiving 837 citations

Hit Papers

Why Are Total Knees Faili... 2013 2026 2017 2021 2013 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William C. Schroer 834 58 56 47 43 21 878
Terry A. Clyburn 712 0.9× 60 1.0× 46 0.8× 57 1.2× 16 0.4× 38 795
I.G. Kelly 682 0.8× 70 1.2× 37 0.7× 25 0.5× 54 1.3× 30 830
S. J. Yeo 617 0.7× 80 1.4× 49 0.9× 66 1.4× 21 0.5× 22 711
Lawrence M. Specht 713 0.9× 34 0.6× 92 1.6× 25 0.5× 20 0.5× 17 792
Joel Politi 576 0.7× 48 0.8× 84 1.5× 75 1.6× 155 3.6× 15 717
Braden McKnight 842 1.0× 19 0.3× 40 0.7× 50 1.1× 35 0.8× 24 930
James J. Verner 682 0.8× 25 0.4× 42 0.8× 45 1.0× 16 0.4× 17 738
Jyrki Vainio 431 0.5× 85 1.5× 37 0.7× 27 0.6× 220 5.1× 22 817
Stanley H. Dysart 688 0.8× 15 0.3× 34 0.6× 54 1.1× 24 0.6× 10 723
Timothy J. Levison 928 1.1× 116 2.0× 18 0.3× 13 0.3× 36 0.8× 13 1.0k

Countries citing papers authored by William C. Schroer

Since Specialization
Citations

This map shows the geographic impact of William C. Schroer'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 William C. Schroer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Schroer more than expected).

Fields of papers citing papers by William C. Schroer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William C. Schroer. 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 William C. Schroer. The network helps show where William C. Schroer may publish in the future.

Co-authorship network of co-authors of William C. Schroer

This figure shows the co-authorship network connecting the top 25 collaborators of William C. Schroer. A scholar is included among the top collaborators of William C. Schroer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William C. Schroer. William C. Schroer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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