Jonathan P. Velotta

36 total papers · 796 total citations
24 papers, 538 citations indexed

About

Jonathan P. Velotta is a scholar working on Ecology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jonathan P. Velotta has authored 24 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 12 papers in Genetics and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jonathan P. Velotta's work include Physiological and biochemical adaptations (14 papers), Fish Ecology and Management Studies (8 papers) and High Altitude and Hypoxia (8 papers). Jonathan P. Velotta is often cited by papers focused on Physiological and biochemical adaptations (14 papers), Fish Ecology and Management Studies (8 papers) and High Altitude and Hypoxia (8 papers). Jonathan P. Velotta collaborates with scholars based in United States, Canada and United Kingdom. Jonathan P. Velotta's co-authors include Zachary A. Cheviron, Stephen D. McCormick, Eric T. Schultz, Catherine M. Ivy, Graham R. Scott, Shane C. Campbell‐Staton, Jay F. Storz, Kristin M. Winchell, Rachel J. O’Neill and Grant B. McClelland and has published in prestigious journals such as Nature Communications, The Journal of Physiology and Evolution.

In The Last Decade

Jonathan P. Velotta

23 papers receiving 536 citations

Author Peers

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

Author						Papers	Cites
Jonathan P. Velotta	294	257	123	101	99	24	538
Stephen J. Sabatino	302 1.0×	186 0.7×	80 0.7×	103 1.0×	67 0.7×	16	510
P. B. Frappell	99 0.3×	357 1.4×	127 1.0×	163 1.6×	50 0.5×	20	563
Loïc Teulier	91 0.3×	340 1.3×	74 0.6×	168 1.7×	126 1.3×	34	610
Matthew D. Regan	86 0.3×	285 1.1×	120 1.0×	63 0.6×	82 0.8×	22	449
Dillon J. Chung	82 0.3×	375 1.5×	99 0.8×	165 1.6×	198 2.0×	17	580
Agata M. Rudolf	65 0.2×	372 1.4×	171 1.4×	166 1.6×	116 1.2×	18	588
G. M. Malvin	90 0.3×	214 0.8×	40 0.3×	86 0.9×	84 0.8×	33	483
Giovanni Chieffi	126 0.4×	59 0.2×	58 0.5×	62 0.6×	33 0.3×	36	583
John Raelson	164 0.6×	98 0.4×	52 0.4×	58 0.6×	13 0.1×	23	588
Kevin Pauwels	124 0.4×	253 1.0×	68 0.6×	113 1.1×	8 0.1×	13	513

Countries citing papers authored by Jonathan P. Velotta

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan P. Velotta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan P. Velotta. 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 Jonathan P. Velotta. The network helps show where Jonathan P. Velotta may publish in the future.

Co-authorship network of co-authors of Jonathan P. Velotta

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan P. Velotta. A scholar is included among the top collaborators of Jonathan P. Velotta 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 Jonathan P. Velotta. Jonathan P. Velotta 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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