John W. Rebuck

50 total papers · 1.2k total citations
32 papers, 868 citations indexed

About

John W. Rebuck is a scholar working on Hematology, Physiology and Genetics. According to data from OpenAlex, John W. Rebuck has authored 32 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 6 papers in Physiology and 5 papers in Genetics. Recurrent topics in John W. Rebuck's work include Erythrocyte Function and Pathophysiology (4 papers), Blood disorders and treatments (3 papers) and Blood groups and transfusion (3 papers). John W. Rebuck is often cited by papers focused on Erythrocyte Function and Pathophysiology (4 papers), Blood disorders and treatments (3 papers) and Blood groups and transfusion (3 papers). John W. Rebuck collaborates with scholars based in United States. John W. Rebuck's co-authors include James H. Crowley, Raymond W. Monto, Raymond C. Mellinger, Ellis J. Van Slyck, Jeanne M. Riddle, Koichi Maeda, Michael J. Brennan, Robert J. Priest, Bong Hak Hyun and J. Martin Miller and has published in prestigious journals such as New England Journal of Medicine, Blood and Annals of Internal Medicine.

In The Last Decade

John W. Rebuck

29 papers receiving 642 citations

Hit Papers

A METHOD OF STUDYING LEUK... 1955 2026 1978 2002 1955 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
John W. Rebuck 248 150 126 124 111 32 868
Michael E. Norman 156 0.6× 133 0.9× 138 1.1× 54 0.4× 120 1.1× 42 963
E J Yunis 431 1.7× 81 0.5× 131 1.0× 90 0.7× 77 0.7× 43 898
P. W. Mathieson 415 1.7× 70 0.5× 93 0.7× 93 0.8× 67 0.6× 30 1.0k
Cor L. Verweij 477 1.9× 98 0.7× 65 0.5× 147 1.2× 121 1.1× 17 1.0k
Lars Helgeland 320 1.3× 117 0.8× 107 0.8× 43 0.3× 81 0.7× 46 1000
T. A. McNeill 396 1.6× 114 0.8× 61 0.5× 169 1.4× 191 1.7× 56 1.1k
Vibeke Ravn 294 1.2× 110 0.7× 68 0.5× 120 1.0× 113 1.0× 27 836
T. Shimoda 398 1.6× 90 0.6× 143 1.1× 73 0.6× 102 0.9× 23 941
Bita Ansaripour 332 1.3× 57 0.4× 81 0.6× 58 0.5× 106 1.0× 39 715
N. J. GERBER 268 1.1× 56 0.4× 52 0.4× 124 1.0× 81 0.7× 30 1.0k

Countries citing papers authored by John W. Rebuck

Since Specialization
Citations

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

Fields of papers citing papers by John W. Rebuck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Rebuck. 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 John W. Rebuck. The network helps show where John W. Rebuck may publish in the future.

Co-authorship network of co-authors of John W. Rebuck

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Rebuck. A scholar is included among the top collaborators of John W. Rebuck 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 John W. Rebuck. John W. Rebuck 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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