Frank H. Shaw

35 total papers · 2.5k total citations
33 papers, 2.0k citations indexed

About

Frank H. Shaw is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Frank H. Shaw has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 15 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Plant Science. Recurrent topics in Frank H. Shaw's work include Evolution and Genetic Dynamics (16 papers), Genetic diversity and population structure (12 papers) and Plant and animal studies (12 papers). Frank H. Shaw is often cited by papers focused on Evolution and Genetic Dynamics (16 papers), Genetic diversity and population structure (12 papers) and Plant and animal studies (12 papers). Frank H. Shaw collaborates with scholars based in United States, France and Russia. Frank H. Shaw's co-authors include Ruth G. Shaw, David N. Reznick, F. Helen Rodd, Charles J. Geyer, Gerald S. Wilkinson, Michael Turelli, Ophélie Ronce, François Rousset, Robert H. Podolsky and Xavier Vekemans and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The American Naturalist.

In The Last Decade

Frank H. Shaw

33 papers receiving 1.9k citations

Hit Papers

Evaluation of the Rate of... 1997 2026 2006 2016 1997 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Frank H. Shaw 1.1k 920 468 432 338 33 2.0k
Jeremy B. Yoder 749 0.7× 790 0.9× 491 1.0× 336 0.8× 478 1.4× 36 1.9k
Stewart T. Schultz 1.1k 1.0× 919 1.0× 470 1.0× 303 0.7× 498 1.5× 48 2.0k
Benoît Pujol 1.0k 0.9× 876 1.0× 418 0.9× 515 1.2× 760 2.2× 61 2.5k
Gerdien de Jong 979 0.9× 1.4k 1.5× 434 0.9× 760 1.8× 314 0.9× 25 2.4k
Christopher E. Hill 1.0k 0.9× 1.6k 1.7× 450 1.0× 739 1.7× 176 0.5× 27 2.6k
Stephen R. Proulx 1.0k 0.9× 1.0k 1.1× 237 0.5× 494 1.1× 374 1.1× 52 2.4k
Stephen J. Tonsor 912 0.8× 1.1k 1.2× 656 1.4× 287 0.7× 953 2.8× 44 2.2k
Courtney J. Murren 880 0.8× 1.3k 1.4× 644 1.4× 750 1.7× 622 1.8× 47 2.7k
Wilfried Gabriel 1.1k 1.0× 752 0.8× 508 1.1× 869 2.0× 183 0.5× 46 2.2k
Mauricio Linares 1.6k 1.5× 1.3k 1.5× 343 0.7× 298 0.7× 308 0.9× 42 2.4k

Countries citing papers authored by Frank H. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Frank H. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank H. Shaw. 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 Frank H. Shaw. The network helps show where Frank H. Shaw may publish in the future.

Co-authorship network of co-authors of Frank H. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Frank H. Shaw. A scholar is included among the top collaborators of Frank H. Shaw 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 Frank H. Shaw. Frank H. Shaw 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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