Washington Tapia

89 total papers · 2.4k total citations
61 papers, 1.2k citations indexed

About

Washington Tapia is a scholar working on Nature and Landscape Conservation, Genetics and Ecology. According to data from OpenAlex, Washington Tapia has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Nature and Landscape Conservation, 31 papers in Genetics and 22 papers in Ecology. Recurrent topics in Washington Tapia's work include Turtle Biology and Conservation (31 papers), Genetic diversity and population structure (27 papers) and Wildlife Ecology and Conservation (12 papers). Washington Tapia is often cited by papers focused on Turtle Biology and Conservation (31 papers), Genetic diversity and population structure (27 papers) and Wildlife Ecology and Conservation (12 papers). Washington Tapia collaborates with scholars based in Ecuador, United States and Canada. Washington Tapia's co-authors include James P. Gibbs, Adalgisa Caccone, J. L. Rodríguez, Carlos Montes, José A. González, Michael A. Russello, Linda J. Cayot, Gabriele Gentile, Howard L. Snell and Cruz Márquez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Washington Tapia

60 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Washington Tapia	475	472	451	226	224	61	1.2k
David W. Tonkyn	309 0.7×	674 1.4×	615 1.4×	367 1.6×	130 0.6×	32	1.5k
Susan M. Carthew	276 0.6×	655 1.4×	242 0.5×	293 1.3×	117 0.5×	47	935
Melita Vamberger	499 1.1×	447 0.9×	490 1.1×	170 0.8×	491 2.2×	51	1.1k
Craig Moritz	363 0.8×	457 1.0×	438 1.0×	290 1.3×	373 1.7×	44	1.2k
Juán José Luque-Larena	254 0.5×	649 1.4×	264 0.6×	339 1.5×	118 0.5×	46	1.1k
Larry L. Rockwood	327 0.7×	460 1.0×	474 1.1×	578 2.6×	150 0.7×	35	1.2k
Christa Beckmann	281 0.6×	682 1.4×	246 0.5×	672 3.0×	381 1.7×	55	1.5k
Peter J. P. Gogan	236 0.5×	819 1.7×	447 1.0×	114 0.5×	120 0.5×	37	1.2k
Hugh A. Robertson	326 0.7×	1.0k 2.2×	359 0.8×	279 1.2×	169 0.8×	63	1.5k
Eulalia Moreno	212 0.4×	751 1.6×	236 0.5×	514 2.3×	137 0.6×	90	1.5k

Countries citing papers authored by Washington Tapia

Since Specialization

Citations

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

Fields of papers citing papers by Washington Tapia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Washington Tapia

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