Geoffrey Edsall

138 total papers · 1.9k total citations
69 papers, 1.1k citations indexed

About

Geoffrey Edsall is a scholar working on Endocrinology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Geoffrey Edsall has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Endocrinology, 15 papers in Epidemiology and 10 papers in Infectious Diseases. Recurrent topics in Geoffrey Edsall's work include Diphtheria, Corynebacterium, and Tetanus (25 papers), Botulinum Toxin and Related Neurological Disorders (9 papers) and Vaccine Coverage and Hesitancy (7 papers). Geoffrey Edsall is often cited by papers focused on Diphtheria, Corynebacterium, and Tetanus (25 papers), Botulinum Toxin and Related Neurological Disorders (9 papers) and Vaccine Coverage and Hesitancy (7 papers). Geoffrey Edsall collaborates with scholars based in United States, United Kingdom and Brazil. Geoffrey Edsall's co-authors include Leo Levine, Abram S. Benenson, MyronM. Levine, Adrian D. Mandel, Maurice Landy, Sidney Gaines, R. J. Trapani, F Daguillard, Kenneth W. Newell and Johannes Ipsen and has published in prestigious journals such as Science, New England Journal of Medicine and The Lancet.

In The Last Decade

Geoffrey Edsall

66 papers receiving 844 citations

Author Peers

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

Author Last Decade Papers Cites
Geoffrey Edsall 442 281 261 169 153 69 1.1k
Christina von Hunolstein 328 0.7× 480 1.7× 313 1.2× 252 1.5× 132 0.9× 62 1.3k
Paul F. Wehrle 65 0.1× 562 2.0× 257 1.0× 86 0.5× 396 2.6× 82 1.4k
Geoffrey G Hogg 244 0.6× 372 1.3× 559 2.1× 61 0.4× 81 0.5× 39 1.2k
Paul E. Slater 69 0.2× 486 1.7× 303 1.2× 102 0.6× 144 0.9× 71 1.3k
Thuan Tong Tan 140 0.3× 464 1.7× 310 1.2× 118 0.7× 185 1.2× 73 1.2k
O. Patey 223 0.5× 363 1.3× 535 2.0× 121 0.7× 169 1.1× 69 1.2k
Dieter W. Gump 222 0.5× 418 1.5× 169 0.6× 211 1.2× 267 1.7× 55 1.3k
J. Beytout 55 0.1× 364 1.3× 332 1.3× 42 0.2× 161 1.1× 88 995
Kikuko Miyamura 223 0.5× 575 2.0× 737 2.8× 231 1.4× 122 0.8× 66 1.4k
HIDEO FUKUMI 199 0.5× 477 1.7× 259 1.0× 172 1.0× 325 2.1× 102 1.1k

Countries citing papers authored by Geoffrey Edsall

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey Edsall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey Edsall. 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 Geoffrey Edsall. The network helps show where Geoffrey Edsall may publish in the future.

Co-authorship network of co-authors of Geoffrey Edsall

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Edsall. A scholar is included among the top collaborators of Geoffrey Edsall 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 Geoffrey Edsall. Geoffrey Edsall 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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