Dan F. McCune

25 total papers · 943 total citations
21 papers, 808 citations indexed

About

Dan F. McCune is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Dan F. McCune has authored 21 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in Dan F. McCune's work include Receptor Mechanisms and Signaling (15 papers), Neuropeptides and Animal Physiology (9 papers) and Neuroscience and Neuropharmacology Research (5 papers). Dan F. McCune is often cited by papers focused on Receptor Mechanisms and Signaling (15 papers), Neuropeptides and Animal Physiology (9 papers) and Neuroscience and Neuropharmacology Research (5 papers). Dan F. McCune collaborates with scholars based in United States, India and United Kingdom. Dan F. McCune's co-authors include Dianne M. Perez, Stephanie E. Edelmann, Michael T. Piascik, Robert J. Gaivin, Robert S. Papay, Dan Chalothorn, Gozoh Tsujimoto, Boyd R. Rorabaugh, Mary L. Garcı́a-Cazarı́n and R. W. Hadley and has published in prestigious journals such as The Journal of Comparative Neurology, Endocrinology and Journal of Neurochemistry.

In The Last Decade

Dan F. McCune

21 papers receiving 786 citations

Author Peers

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

Author Last Decade Papers Cites
Dan F. McCune 548 415 173 66 63 21 808
W.J. Lang 328 0.6× 390 0.9× 219 1.3× 23 0.3× 44 0.7× 42 1.0k
M T Piascik 713 1.3× 417 1.0× 299 1.7× 85 1.3× 39 0.6× 19 1.0k
P A Insel 758 1.4× 419 1.0× 180 1.0× 89 1.3× 58 0.9× 28 1000
Barry Kenny 594 1.1× 324 0.8× 154 0.9× 66 1.0× 35 0.6× 19 950
José M. Musacchio 375 0.7× 424 1.0× 188 1.1× 25 0.4× 82 1.3× 26 774
N B Shepperson 560 1.0× 464 1.1× 284 1.6× 66 1.0× 55 0.9× 36 992
Pamela Greengrass 445 0.8× 372 0.9× 122 0.7× 42 0.6× 50 0.8× 21 974
Wolfram Gaida 519 0.9× 516 1.2× 108 0.6× 45 0.7× 17 0.3× 25 801
K P Minneman 696 1.3× 427 1.0× 263 1.5× 126 1.9× 59 0.9× 14 1.0k
J.A. García‐Sevilla 555 1.0× 701 1.7× 178 1.0× 29 0.4× 33 0.5× 19 936

Countries citing papers authored by Dan F. McCune

Since Specialization
Citations

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

Fields of papers citing papers by Dan F. McCune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan F. McCune. 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 Dan F. McCune. The network helps show where Dan F. McCune may publish in the future.

Co-authorship network of co-authors of Dan F. McCune

This figure shows the co-authorship network connecting the top 25 collaborators of Dan F. McCune. A scholar is included among the top collaborators of Dan F. McCune 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 Dan F. McCune. Dan F. McCune 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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