Michael R. Palovich

33 total papers · 786 total citations
22 papers, 511 citations indexed

About

Michael R. Palovich is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael R. Palovich has authored 22 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Organic Chemistry and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael R. Palovich's work include Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (4 papers) and Chemokine receptors and signaling (4 papers). Michael R. Palovich is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (4 papers) and Chemokine receptors and signaling (4 papers). Michael R. Palovich collaborates with scholars based in United States, United Kingdom and China. Michael R. Palovich's co-authors include James A. Marshall, Dennis P. Curran, Ulf Diederichsen, Miriam Burman, Henry M. Sarau, James J. Foley, Anthony J. Taylor, Paul L. Feldman, Darren V. S. Green and James Butler and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physiology and Journal of Medicinal Chemistry.

In The Last Decade

Michael R. Palovich

22 papers receiving 484 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 R. Palovich 267 131 81 77 74 22 511
Nicholas Stock 187 0.7× 206 1.6× 146 1.8× 77 1.0× 58 0.8× 28 611
Dramane I. Lainé 239 0.9× 193 1.5× 111 1.4× 34 0.4× 114 1.5× 29 524
David M. Ritchie 169 0.6× 167 1.3× 54 0.7× 57 0.7× 36 0.5× 23 573
J. Y. GAUTHIER 218 0.8× 239 1.8× 62 0.8× 109 1.4× 15 0.2× 20 581
Kenji Akahane 181 0.7× 245 1.9× 58 0.7× 49 0.6× 18 0.2× 24 554
William Hageman 234 0.9× 212 1.6× 17 0.2× 44 0.6× 39 0.5× 33 608
Roberta Tesch 217 0.8× 260 2.0× 22 0.3× 75 1.0× 78 1.1× 20 516
Baijiao An 328 1.2× 216 1.6× 26 0.3× 76 1.0× 90 1.2× 30 545
Hua Zhou 373 1.4× 122 0.9× 27 0.3× 82 1.1× 18 0.2× 27 610
Fengrong Xu 172 0.6× 195 1.5× 43 0.5× 77 1.0× 25 0.3× 32 448

Countries citing papers authored by Michael R. Palovich

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Palovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael R. Palovich

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