Pipat Soisook

52 total papers · 799 total citations
34 papers, 523 citations indexed

About

Pipat Soisook is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Paleontology. According to data from OpenAlex, Pipat Soisook has authored 34 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Ecology, Evolution, Behavior and Systematics, 16 papers in Ecological Modeling and 11 papers in Paleontology. Recurrent topics in Pipat Soisook's work include Bat Biology and Ecology Studies (30 papers), Species Distribution and Climate Change (16 papers) and Evolution and Paleontology Studies (11 papers). Pipat Soisook is often cited by papers focused on Bat Biology and Ecology Studies (30 papers), Species Distribution and Climate Change (16 papers) and Evolution and Paleontology Studies (11 papers). Pipat Soisook collaborates with scholars based in Thailand, United Kingdom and Germany. Pipat Soisook's co-authors include Paul J. J. Bates, Sara Bumrungsri, Chutamas Satasook, Vu Dinh Thong, Sébastien J. Puechmaille, Gábor Csorba, Emma C. Teeling, Kyle N. Armstrong, Gareth Jones and Tuanjit Sritongchuay and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Biology and Evolution and Journal of Biogeography.

In The Last Decade

Pipat Soisook

32 papers receiving 499 citations

Author Peers

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

Author						Papers	Cites
Pipat Soisook	423	225	201	154	99	34	523
José Juan Flores‐Martínez	396 0.9×	132 0.6×	314 1.6×	81 0.5×	79 0.8×	42	585
Marcel Uhrín	420 1.0×	202 0.9×	284 1.4×	65 0.4×	120 1.2×	62	574
Cassandra M. Miller‐Butterworth	400 0.9×	157 0.7×	215 1.1×	111 0.7×	179 1.8×	21	572
Fanja H. Ratrimomanarivo	372 0.9×	177 0.8×	169 0.8×	140 0.9×	98 1.0×	22	449
Vu Dinh Thong	473 1.1×	246 1.1×	233 1.2×	177 1.1×	121 1.2×	58	580
Kyle N. Armstrong	331 0.8×	95 0.4×	319 1.6×	140 0.9×	90 0.9×	53	582
Neil M. Furey	430 1.0×	203 0.9×	239 1.2×	112 0.7×	83 0.8×	40	572
Roberto Leonan Morim Novaes	399 0.9×	193 0.9×	282 1.4×	165 1.1×	45 0.5×	66	604
Juan Luís García‐Mudarra	465 1.1×	263 1.2×	271 1.3×	95 0.6×	140 1.4×	23	559
Jiří Gaisler	449 1.1×	158 0.7×	318 1.6×	75 0.5×	98 1.0×	40	537

Countries citing papers authored by Pipat Soisook

Since Specialization

Citations

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

Fields of papers citing papers by Pipat Soisook

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pipat Soisook

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