Harold M. Schoolman

44 total papers · 968 total citations
32 papers, 665 citations indexed

About

Harold M. Schoolman is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Harold M. Schoolman has authored 32 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Surgery. Recurrent topics in Harold M. Schoolman's work include Health Sciences Research and Education (4 papers), Cardiac Arrhythmias and Treatments (4 papers) and Cardiovascular Syncope and Autonomic Disorders (3 papers). Harold M. Schoolman is often cited by papers focused on Health Sciences Research and Education (4 papers), Cardiac Arrhythmias and Treatments (4 papers) and Cardiovascular Syncope and Autonomic Disorders (3 papers). Harold M. Schoolman collaborates with scholars based in United States. Harold M. Schoolman's co-authors include D. A. B. Lindberg, Betsy L. Humphreys, G. Octo Barnett, Steven O. Schwartz, Lionel M. Bernstein, Paul B. Szanto, Barbara Rapp, Wilma A. Spurrier, Jack M. Becktel and William R. Best and has published in prestigious journals such as Science, New England Journal of Medicine and Blood.

In The Last Decade

Harold M. Schoolman

29 papers receiving 557 citations

Author Peers

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

Author Last Decade Papers Cites
Harold M. Schoolman 341 271 66 62 50 32 665
Anushi Shah 432 1.3× 155 0.6× 62 0.9× 77 1.2× 20 0.4× 26 793
Ritu Khare 270 0.8× 274 1.0× 47 0.7× 127 2.0× 49 1.0× 44 766
Margarita Sordo 338 1.0× 321 1.2× 32 0.5× 174 2.8× 96 1.9× 26 744
Frank J. Manion 253 0.7× 173 0.6× 53 0.8× 48 0.8× 48 1.0× 31 588
Susan Weber 173 0.5× 130 0.5× 77 1.2× 116 1.9× 28 0.6× 22 627
Saeed Mehrabi 338 1.0× 514 1.9× 24 0.4× 129 2.1× 26 0.5× 15 789
Martin Seneviratne 114 0.3× 238 0.9× 48 0.7× 104 1.7× 36 0.7× 26 680
Sarah Sandmann 193 0.6× 78 0.3× 89 1.3× 49 0.8× 19 0.4× 40 567
M.S. Mendis 225 0.7× 241 0.9× 51 0.8× 200 3.2× 54 1.1× 14 727
Gilbert Hill 219 0.6× 148 0.5× 50 0.8× 122 2.0× 22 0.4× 26 728

Countries citing papers authored by Harold M. Schoolman

Since Specialization
Citations

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

Fields of papers citing papers by Harold M. Schoolman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold M. Schoolman. 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 Harold M. Schoolman. The network helps show where Harold M. Schoolman may publish in the future.

Co-authorship network of co-authors of Harold M. Schoolman

This figure shows the co-authorship network connecting the top 25 collaborators of Harold M. Schoolman. A scholar is included among the top collaborators of Harold M. Schoolman 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 Harold M. Schoolman. Harold M. Schoolman 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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