John D. Scanlon

69 total papers · 1.4k total citations
39 papers, 1.1k citations indexed

About

John D. Scanlon is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Paleontology. According to data from OpenAlex, John D. Scanlon has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 19 papers in Nature and Landscape Conservation and 17 papers in Paleontology. Recurrent topics in John D. Scanlon's work include Amphibian and Reptile Biology (26 papers), Paleontology and Evolutionary Biology (14 papers) and Ichthyology and Marine Biology (10 papers). John D. Scanlon is often cited by papers focused on Amphibian and Reptile Biology (26 papers), Paleontology and Evolutionary Biology (14 papers) and Ichthyology and Marine Biology (10 papers). John D. Scanlon collaborates with scholars based in Australia, Canada and United States. John D. Scanlon's co-authors include Michael S. Y. Lee, Michael W. Caldwell, J. Scott Keogh, Richard Shine, Ian Scott, Michael Archer, Robin Lawson, Andrew F. Hugall, Nathan J. Kley and David W. Krause and has published in prestigious journals such as Nature, Biological reviews/Biological reviews of the Cambridge Philosophical Society and Copeia.

In The Last Decade

John D. Scanlon

38 papers receiving 963 citations

Author Peers

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

Author Last Decade Papers Cites
John D. Scanlon 770 614 497 252 178 39 1.1k
Alessandro Palci 672 0.9× 874 1.4× 451 0.9× 230 0.9× 179 1.0× 49 1.3k
William P. McCord 606 0.8× 354 0.6× 781 1.6× 128 0.5× 258 1.4× 25 1.0k
Randall L. Nydam 668 0.9× 854 1.4× 410 0.8× 214 0.8× 124 0.7× 35 1.1k
Walter Auffenberg 629 0.8× 412 0.7× 517 1.0× 385 1.5× 128 0.7× 63 1.2k
Jack L. Conrad 870 1.1× 863 1.4× 656 1.3× 355 1.4× 142 0.8× 34 1.3k
Tiago R. Simões 520 0.7× 829 1.4× 370 0.7× 205 0.8× 137 0.8× 48 1.1k
Garth Underwood 929 1.2× 218 0.4× 346 0.7× 437 1.7× 423 2.4× 41 1.3k
Zbigniew Szyndlar 675 0.9× 498 0.8× 344 0.7× 315 1.3× 120 0.7× 43 982
Juan D. Daza 783 1.0× 376 0.6× 277 0.6× 521 2.1× 251 1.4× 78 1.1k
Camilo I. Mattoni 492 0.6× 302 0.5× 172 0.3× 440 1.7× 656 3.7× 63 1.2k

Countries citing papers authored by John D. Scanlon

Since Specialization
Citations

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

Fields of papers citing papers by John D. Scanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John D. Scanlon

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