Diana M. Cave

27 total papers · 3.2k total citations
11 papers, 1.3k citations indexed

About

Diana M. Cave is a scholar working on Emergency Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Diana M. Cave has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Emergency Medicine, 3 papers in Biomedical Engineering and 2 papers in Surgery. Recurrent topics in Diana M. Cave's work include Cardiac Arrest and Resuscitation (6 papers), Trauma and Emergency Care Studies (3 papers) and Mechanical Circulatory Support Devices (3 papers). Diana M. Cave is often cited by papers focused on Cardiac Arrest and Resuscitation (6 papers), Trauma and Emergency Care Studies (3 papers) and Mechanical Circulatory Support Devices (3 papers). Diana M. Cave collaborates with scholars based in United States, United Kingdom and Germany. Diana M. Cave's co-authors include Michael R. Sayre, Robert A. Berg, Mary Fran Hazinski, Tom P. Aufderheide, Jerald Potts, Robin Hemphill, Benjamin S. Abella, Thomas D. Rea, E. Brooke Lerner and Robert A. Swor and has published in prestigious journals such as Circulation, Gastrointestinal Endoscopy and Resuscitation.

In The Last Decade

Diana M. Cave

11 papers receiving 1.3k citations

Hit Papers

Part 5: Adult Basic Life ... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Diana M. Cave 1.2k 389 342 212 189 11 1.3k
Antonio Caballero Oliver 1.0k 0.9× 330 0.8× 212 0.6× 190 0.9× 129 0.7× 12 1.1k
Dan Davis 1.1k 0.9× 489 1.3× 329 1.0× 150 0.7× 159 0.8× 15 1.3k
Poul Anders Hansen 1.1k 0.9× 211 0.5× 277 0.8× 201 0.9× 226 1.2× 16 1.3k
Pascal Cassan 1.3k 1.1× 393 1.0× 249 0.7× 262 1.2× 165 0.9× 30 1.5k
Linda Culley 1.3k 1.1× 292 0.8× 330 1.0× 218 1.0× 162 0.9× 10 1.4k
James Christenson 1.6k 1.3× 447 1.1× 427 1.2× 195 0.9× 299 1.6× 25 1.7k
Ingela Hasselqvist‐Ax 1.1k 0.9× 243 0.6× 273 0.8× 210 1.0× 143 0.8× 12 1.2k
Jason Dahl 1.5k 1.2× 478 1.2× 425 1.2× 214 1.0× 263 1.4× 8 1.7k
Douglas Andrusiek 1.1k 0.9× 313 0.8× 289 0.8× 147 0.7× 168 0.9× 11 1.2k
Richard Whitfield 953 0.8× 248 0.6× 247 0.7× 189 0.9× 96 0.5× 20 1.1k

Countries citing papers authored by Diana M. Cave

Since Specialization
Citations

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

Fields of papers citing papers by Diana M. Cave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana M. Cave

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