David G. Bishop

83 total papers · 2.1k total citations
49 papers, 489 citations indexed

About

David G. Bishop is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, David G. Bishop has authored 49 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 20 papers in Surgery and 9 papers in Critical Care and Intensive Care Medicine. Recurrent topics in David G. Bishop's work include Cardiac, Anesthesia and Surgical Outcomes (12 papers), Anesthesia and Pain Management (10 papers) and Blood transfusion and management (8 papers). David G. Bishop is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (12 papers), Anesthesia and Pain Management (10 papers) and Blood transfusion and management (8 papers). David G. Bishop collaborates with scholars based in South Africa, United States and United Kingdom. David G. Bishop's co-authors include Reitze Rodseth, Carel Cairns, Mariette Grobbelaar, Robert A. Dyer, K C McKeown, Robert Wise, Dominique van Dyk, Yahya Ipuge, Catherine Goodman and Oliver Sabot and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Obstetrics and Gynecology.

In The Last Decade

David G. Bishop

43 papers receiving 469 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 G. Bishop 225 182 104 100 51 49 489
Amy Sweeny 87 0.4× 112 0.6× 45 0.4× 66 0.7× 29 0.6× 51 464
Justin Kua 149 0.7× 89 0.5× 49 0.5× 42 0.4× 33 0.6× 21 448
Jonathan M. Tan 202 0.9× 99 0.5× 74 0.7× 34 0.3× 30 0.6× 37 433
Sukhminder Jit Singh Bajwa 241 1.1× 92 0.5× 50 0.5× 34 0.3× 37 0.7× 49 501
Virginia Tangel 217 1.0× 124 0.7× 120 1.2× 71 0.7× 5 0.1× 44 517
G. Lindsay 158 0.7× 151 0.8× 103 1.0× 31 0.3× 12 0.2× 29 473
Bhavani Shankar Kodali 157 0.7× 142 0.8× 88 0.8× 47 0.5× 57 1.1× 47 431
Marcelin Ngowe Ngowe 181 0.8× 56 0.3× 51 0.5× 45 0.5× 14 0.3× 55 452
D. J. N. Wong 189 0.8× 170 0.9× 22 0.2× 29 0.3× 19 0.4× 31 458
Meredith Doherty 171 0.8× 130 0.7× 54 0.5× 114 1.1× 69 1.4× 30 493

Countries citing papers authored by David G. Bishop

Since Specialization
Citations

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

Fields of papers citing papers by David G. Bishop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Bishop

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