Paul D. Pezalla

19 total papers · 705 total citations
19 papers, 594 citations indexed

About

Paul D. Pezalla is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Paul D. Pezalla has authored 19 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in Paul D. Pezalla's work include Neuropeptides and Animal Physiology (13 papers), Pain Mechanisms and Treatments (8 papers) and Receptor Mechanisms and Signaling (7 papers). Paul D. Pezalla is often cited by papers focused on Neuropeptides and Animal Physiology (13 papers), Pain Mechanisms and Treatments (8 papers) and Receptor Mechanisms and Signaling (7 papers). Paul D. Pezalla collaborates with scholars based in United States, Canada and Thailand. Paul D. Pezalla's co-authors include Craig W. Stevens, Michel Chrétien, Nabil G. Seidah, Tony L. Yaksh, M. Lis, Sathapana Kongsamut, Philippe Crine, Christina Gianoulakis, Françis Gossard and William S. Herman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Brain Research and FEBS Letters.

In The Last Decade

Paul D. Pezalla

19 papers receiving 561 citations

Author Peers

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

Author						Papers	Cites
Paul D. Pezalla	357	250	214	89	65	19	594
S Fénard	248 0.7×	313 1.3×	173 0.8×	59 0.7×	60 0.9×	20	624
T.W. Smith	333 0.9×	239 1.0×	318 1.5×	33 0.4×	13 0.2×	25	630
Laura J. Fick	100 0.3×	203 0.8×	169 0.8×	162 1.8×	48 0.7×	15	681
John M. Stavorski	200 0.6×	219 0.9×	132 0.6×	23 0.3×	26 0.4×	16	593
J. C. Prat	367 1.0×	466 1.9×	145 0.7×	38 0.4×	26 0.4×	30	659
Stephen C. Pryor	218 0.6×	135 0.5×	88 0.4×	82 0.9×	32 0.5×	26	514
Susann Matthes	218 0.6×	193 0.8×	66 0.3×	45 0.5×	23 0.4×	14	638
Lars Flataker	184 0.5×	128 0.5×	149 0.7×	21 0.2×	27 0.4×	23	517
David V. Gauvin	252 0.7×	155 0.6×	100 0.5×	25 0.3×	19 0.3×	15	523
Ch. Sachs	304 0.9×	224 0.9×	139 0.6×	65 0.7×	18 0.3×	20	654

Countries citing papers authored by Paul D. Pezalla

Since Specialization

Citations

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

Fields of papers citing papers by Paul D. Pezalla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul D. Pezalla

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