Michael J. Piesla

9 total papers · 1.3k total citations
7 papers, 647 citations indexed

About

Michael J. Piesla is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Michael J. Piesla has authored 7 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in Michael J. Piesla's work include Pain Mechanisms and Treatments (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Cannabis and Cannabinoid Research (2 papers). Michael J. Piesla is often cited by papers focused on Pain Mechanisms and Treatments (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Cannabis and Cannabinoid Research (2 papers). Michael J. Piesla collaborates with scholars based in United States and Canada. Michael J. Piesla's co-authors include Liza Leventhal, Garth T. Whiteside, Terri Cummons, Tarek A. Samad, Brendan Bingham, Jeffrey D. Kennedy, Peimin Lu, Brian W. Strassle, Kathryn E. Rogers and Heather A. Harris and has published in prestigious journals such as Brain Research, Journal of Pharmacology and Experimental Therapeutics and Molecular Pharmacology.

In The Last Decade

Michael J. Piesla

7 papers receiving 641 citations

Author Peers

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

Author Last Decade Papers Cites
Michael J. Piesla 300 289 152 120 80 7 647
Amey Dhopeshwarkar 452 1.5× 271 0.9× 169 1.1× 98 0.8× 72 0.9× 13 641
Barbara Bosier 416 1.4× 341 1.2× 201 1.3× 63 0.5× 57 0.7× 20 646
Giacomo Diaz 366 1.2× 217 0.8× 104 0.7× 102 0.8× 113 1.4× 8 577
Alvin R. King 398 1.3× 331 1.1× 289 1.9× 61 0.5× 77 1.0× 8 716
Shu Yu 594 2.0× 457 1.6× 204 1.3× 51 0.4× 124 1.6× 11 774
Franck Désarnaud 307 1.0× 294 1.0× 165 1.1× 53 0.4× 38 0.5× 9 745
Anne‐Caroline Schmöle 254 0.8× 210 0.7× 168 1.1× 65 0.5× 57 0.7× 14 562
A. C. Wyatt 233 0.8× 482 1.7× 291 1.9× 270 2.3× 93 1.2× 11 775
I A Paul 159 0.5× 388 1.3× 210 1.4× 63 0.5× 72 0.9× 8 615
B. Bourrié 424 1.4× 334 1.2× 247 1.6× 38 0.3× 92 1.1× 11 779

Countries citing papers authored by Michael J. Piesla

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Piesla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Piesla

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