J Ptasienski

13 total papers · 980 total citations
12 papers, 844 citations indexed

About

J Ptasienski is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, J Ptasienski has authored 12 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in J Ptasienski's work include Receptor Mechanisms and Signaling (8 papers), Ion channel regulation and function (6 papers) and Neuropeptides and Animal Physiology (4 papers). J Ptasienski is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Ion channel regulation and function (6 papers) and Neuropeptides and Animal Physiology (4 papers). J Ptasienski collaborates with scholars based in United States and France. J Ptasienski's co-authors include Marie Thérèse Hosey, Vsevolod V. Gurevich, Jeffrey Benovic, James J. Onorato, Chong M. Kim, Rachel Sterne‐Marr, Stéphane Dion, Robin Pals‐Rylaarsdam, M. Marlene Hosey and Appavoo Rengasamy and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Annals of the New York Academy of Sciences.

In The Last Decade

J Ptasienski

12 papers receiving 819 citations

Author Peers

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

Author Last Decade Papers Cites
J Ptasienski 796 505 112 66 59 12 844
Robin Pals‐Rylaarsdam 830 1.0× 519 1.0× 65 0.6× 116 1.8× 45 0.8× 14 902
Zoey L. Fredericks 732 0.9× 323 0.6× 55 0.5× 117 1.8× 64 1.1× 11 797
Magali Berthouze 703 0.9× 325 0.6× 65 0.6× 115 1.7× 66 1.1× 17 856
W. Darrell Capel 743 0.9× 408 0.8× 49 0.4× 56 0.8× 34 0.6× 7 805
Michael A. Kjelsberg 689 0.9× 464 0.9× 77 0.7× 37 0.6× 60 1.0× 13 967
Alexander D. Macrae 787 1.0× 475 0.9× 82 0.7× 50 0.8× 90 1.5× 15 1.0k
Priya Kunapuli 769 1.0× 286 0.6× 67 0.6× 45 0.7× 103 1.7× 21 1.0k
C Staniszewski 893 1.1× 475 0.9× 62 0.6× 121 1.8× 134 2.3× 10 993
Manon Valiquette 642 0.8× 443 0.9× 51 0.5× 23 0.3× 96 1.6× 11 761
Philippe Marin 685 0.9× 468 0.9× 28 0.3× 127 1.9× 52 0.9× 8 853

Countries citing papers authored by J Ptasienski

Since Specialization
Citations

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

Fields of papers citing papers by J Ptasienski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Ptasienski

This figure shows the co-authorship network connecting the top 25 collaborators of J Ptasienski. A scholar is included among the top collaborators of J Ptasienski 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 J Ptasienski. J Ptasienski 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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2026