Mark C Flynn

14 total papers · 974 total citations
12 papers, 818 citations indexed

About

Mark C Flynn is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Behavioral Neuroscience. According to data from OpenAlex, Mark C Flynn has authored 12 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Endocrine and Autonomic Systems and 3 papers in Behavioral Neuroscience. Recurrent topics in Mark C Flynn's work include Regulation of Appetite and Obesity (6 papers), Neuropeptides and Animal Physiology (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Mark C Flynn is often cited by papers focused on Regulation of Appetite and Obesity (6 papers), Neuropeptides and Animal Physiology (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Mark C Flynn collaborates with scholars based in United States, Canada and Switzerland. Mark C Flynn's co-authors include Carlos R. Plata‐Saláman, Sergey E. Ilyin, Dave Gayle, Nicolas P. Turrin, Gary J. Schwartz, Wolfgang Langhans, Hymie Anisman, Thomas R. Scott, Thomas C. Pritchard and Dan McIntyre and has published in prestigious journals such as Brain Research, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Physiology & Behavior.

In The Last Decade

Mark C Flynn

12 papers receiving 800 citations

Author Peers

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

Author Last Decade Papers Cites
Mark C Flynn 253 246 219 165 138 12 818
Estefania P. Azevedo 189 0.7× 173 0.7× 157 0.7× 71 0.4× 97 0.7× 19 995
Marie A. Labouesse 131 0.5× 100 0.4× 171 0.8× 177 1.1× 69 0.5× 21 931
Jordi Serrats 261 1.0× 123 0.5× 297 1.4× 151 0.9× 36 0.3× 26 997
Anders Ericsson‐Dahlstrand 278 1.1× 155 0.6× 164 0.7× 105 0.6× 42 0.3× 17 1.0k
Jennifer C. Schiltz 178 0.7× 354 1.4× 97 0.4× 157 1.0× 47 0.3× 7 800
Alexa Kabiersch 263 1.0× 71 0.3× 150 0.7× 338 2.0× 83 0.6× 17 990
Keith W. Kelley 290 1.1× 145 0.6× 107 0.5× 452 2.7× 49 0.4× 7 1.0k
Lee H. Silbert 207 0.8× 121 0.5× 313 1.4× 211 1.3× 20 0.1× 12 834
Sandrine Cremona 228 0.9× 113 0.5× 62 0.3× 219 1.3× 41 0.3× 19 768
Li‐Chun Lin 120 0.5× 140 0.6× 231 1.1× 152 0.9× 60 0.4× 17 823

Countries citing papers authored by Mark C Flynn

Since Specialization
Citations

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

Fields of papers citing papers by Mark C Flynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark C Flynn. 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 Mark C Flynn. The network helps show where Mark C Flynn may publish in the future.

Co-authorship network of co-authors of Mark C Flynn

This figure shows the co-authorship network connecting the top 25 collaborators of Mark C Flynn. A scholar is included among the top collaborators of Mark C Flynn 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 Mark C Flynn. Mark C Flynn 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