Shawn D. Keil

29 total papers · 1.8k total citations
24 papers, 1.3k citations indexed

About

Shawn D. Keil is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Management of Technology and Innovation. According to data from OpenAlex, Shawn D. Keil has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 9 papers in Epidemiology and 6 papers in Management of Technology and Innovation. Recurrent topics in Shawn D. Keil's work include Mosquito-borne diseases and control (7 papers), Blood transfusion and management (6 papers) and Blood donation and transfusion practices (6 papers). Shawn D. Keil is often cited by papers focused on Mosquito-borne diseases and control (7 papers), Blood transfusion and management (6 papers) and Blood donation and transfusion practices (6 papers). Shawn D. Keil collaborates with scholars based in United States, Germany and United Kingdom. Shawn D. Keil's co-authors include Raymond P. Goodrich, Patrick H. Ruane, Susanne Marschner, Richard A. Bowen, Heather L. Reddy, Christopher Martin, Jean Cadet, Matthew S. Platz, Jean‐Luc Ravanat and David A. Leiby and has published in prestigious journals such as RSC Advances, Transplantation and Photochemistry and Photobiology.

In The Last Decade

Shawn D. Keil

24 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Shawn D. Keil 457 352 319 248 211 24 1.3k
Susanne Marschner 605 1.3× 345 1.0× 446 1.4× 141 0.6× 123 0.6× 54 1.3k
H. Mohr 300 0.7× 178 0.5× 231 0.7× 116 0.5× 73 0.3× 60 1.4k
Giuliano Grazzini 341 0.7× 267 0.8× 381 1.2× 544 2.2× 314 1.5× 72 1.7k
Ellen R. Clough 648 1.4× 88 0.3× 184 0.6× 25 0.1× 38 0.2× 16 1.4k
Brett Whitaker 103 0.2× 86 0.2× 24 0.1× 559 2.3× 86 0.4× 37 1.1k
Eduardo Correa Muniz 471 1.0× 197 0.6× 219 0.7× 60 0.2× 35 0.2× 33 1.5k
Beth A. Dy 764 1.7× 560 1.6× 293 0.9× 92 0.4× 211 1.0× 20 1.1k
Ronald O. Gilcher 196 0.4× 528 1.5× 368 1.2× 65 0.3× 314 1.5× 49 1.3k
John L. Fontana 172 0.4× 28 0.1× 52 0.2× 199 0.8× 81 0.4× 25 1.2k
Ross J. Molinaro 190 0.4× 24 0.1× 214 0.7× 68 0.3× 45 0.2× 53 1.5k

Countries citing papers authored by Shawn D. Keil

Since Specialization
Citations

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

Fields of papers citing papers by Shawn D. Keil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn D. Keil. 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 Shawn D. Keil. The network helps show where Shawn D. Keil may publish in the future.

Co-authorship network of co-authors of Shawn D. Keil

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn D. Keil. A scholar is included among the top collaborators of Shawn D. Keil 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 Shawn D. Keil. Shawn D. Keil 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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