David C. Calverley

44 total papers · 970 total citations
33 papers, 717 citations indexed

About

David C. Calverley is a scholar working on Hematology, Cardiology and Cardiovascular Medicine and Internal Medicine. According to data from OpenAlex, David C. Calverley has authored 33 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 10 papers in Cardiology and Cardiovascular Medicine and 8 papers in Internal Medicine. Recurrent topics in David C. Calverley's work include Venous Thromboembolism Diagnosis and Management (8 papers), Platelet Disorders and Treatments (7 papers) and Antiplatelet Therapy and Cardiovascular Diseases (6 papers). David C. Calverley is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (8 papers), Platelet Disorders and Treatments (7 papers) and Antiplatelet Therapy and Cardiovascular Diseases (6 papers). David C. Calverley collaborates with scholars based in United States, Canada and Singapore. David C. Calverley's co-authors include Gerald J. Roth, Terrance J. Kavanagh, John E. Hokanson, Lonnie R. Johnson, Dennis C. Lezotte, Amy C. Alman, Gary K. Grunwald, Vinod Pullarkat, Mark W. Geraci and Tzu Phang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

David C. Calverley

31 papers receiving 697 citations

Author Peers

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

Author Last Decade Papers Cites
David C. Calverley 230 129 127 125 120 33 717
Miet Peeters 209 0.9× 122 0.9× 90 0.7× 91 0.7× 72 0.6× 31 696
Kathleen Jentsch‐Ullrich 311 1.4× 139 1.1× 146 1.1× 148 1.2× 94 0.8× 46 876
Jean‐Marc Zini 490 2.1× 173 1.3× 128 1.0× 126 1.0× 56 0.5× 33 864
A Bernadou 180 0.8× 104 0.8× 192 1.5× 107 0.9× 54 0.5× 49 760
B. Sawyer 310 1.3× 161 1.2× 59 0.5× 65 0.5× 125 1.0× 25 724
Sandra Régina 257 1.1× 147 1.1× 102 0.8× 36 0.3× 236 2.0× 24 697
Loredana Bury 617 2.7× 135 1.0× 63 0.5× 110 0.9× 62 0.5× 34 884
Ella Grilz 161 0.7× 139 1.1× 166 1.3× 268 2.1× 374 3.1× 23 847
E Grossbard 287 1.2× 106 0.8× 44 0.3× 81 0.6× 124 1.0× 21 809
Anaadriana Zakarija 347 1.5× 157 1.2× 45 0.4× 170 1.4× 158 1.3× 29 789

Countries citing papers authored by David C. Calverley

Since Specialization
Citations

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

Fields of papers citing papers by David C. Calverley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David C. Calverley

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Calverley. A scholar is included among the top collaborators of David C. Calverley 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 David C. Calverley. David C. Calverley 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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