M. F. Wilkinson

562 total citations · 1 hit paper
9 papers, 355 citations indexed

About

M. F. Wilkinson is a scholar working on Social Psychology, Behavioral Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, M. F. Wilkinson has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Social Psychology, 4 papers in Behavioral Neuroscience and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in M. F. Wilkinson's work include Neuroendocrine regulation and behavior (6 papers), Stress Responses and Cortisol (4 papers) and Neuroscience of respiration and sleep (3 papers). M. F. Wilkinson is often cited by papers focused on Neuroendocrine regulation and behavior (6 papers), Stress Responses and Cortisol (4 papers) and Neuroscience of respiration and sleep (3 papers). M. F. Wilkinson collaborates with scholars based in Canada, Germany and United States. M. F. Wilkinson's co-authors include Norman W. Kasting, T. Horn, Quentin J. Pittman, R. Landgraf, Genevieve Stein-O’Brien, Romain Nardou, Loyal A. Goff, Yasmin Padovan‐Hernandez, Young Jun Song and Júnia L. de Deus and has published in prestigious journals such as Nature, The Journal of Physiology and The FASEB Journal.

In The Last Decade

M. F. Wilkinson

9 papers receiving 349 citations

Hit Papers

Psychedelics reopen the s... 2023 2026 2024 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. F. Wilkinson Canada 9 118 115 64 61 57 9 355
Mati Lopez‐Grancha Spain 9 22 0.2× 113 1.0× 38 0.6× 60 1.0× 10 0.2× 11 331
Linda Duque United States 6 97 0.8× 130 1.1× 36 0.6× 7 0.1× 35 0.6× 6 361
Patrick De Haes Belgium 6 27 0.2× 92 0.8× 21 0.3× 26 0.4× 10 0.2× 6 472
Josh Allen Canada 12 54 0.5× 84 0.7× 20 0.3× 27 0.4× 26 0.5× 24 541
Judit Laszy Hungary 10 25 0.2× 275 2.4× 22 0.3× 35 0.6× 75 1.3× 18 528
Val J. Watts United States 9 53 0.4× 353 3.1× 17 0.3× 24 0.4× 20 0.4× 9 549
Nicola H. Allen United Kingdom 7 104 0.9× 344 3.0× 61 1.0× 52 0.9× 54 0.9× 7 500
Eleonora Gatta United States 14 23 0.2× 95 0.8× 43 0.7× 141 2.3× 16 0.3× 22 530
Kazufumi Hirano Japan 9 20 0.2× 178 1.5× 10 0.2× 35 0.6× 82 1.4× 14 363
Mee Jung Ko South Korea 13 28 0.2× 151 1.3× 13 0.2× 62 1.0× 27 0.5× 21 559

Countries citing papers authored by M. F. Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by M. F. Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. F. Wilkinson

This figure shows the co-authorship network connecting the top 25 collaborators of M. F. Wilkinson. A scholar is included among the top collaborators of M. F. Wilkinson 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 M. F. Wilkinson. M. F. Wilkinson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Nardou, Romain, Young Jun Song, M. F. Wilkinson, et al.. (2023). Psychedelics reopen the social reward learning critical period. Nature. 618(7966). 790–798. 148 indexed citations breakdown →
2.
Zeiler, Frederick A., M. F. Wilkinson, & Jerry Krcek. (2013). Subthalamic Nucleus Deep Brain Stimulation: An Invaluable Role for MER. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 40(4). 572–575. 12 indexed citations
4.
Wilkinson, M. F., T. Horn, Norman W. Kasting, & Quentin J. Pittman. (1994). Central interleukin‐1 beta stimulation of vasopressin release into the rat brain: activation of an antipyretic pathway.. The Journal of Physiology. 481(3). 641–646. 19 indexed citations
5.
Horn, T., M. F. Wilkinson, R. Landgraf, & Quentin J. Pittman. (1994). Reduced febrile responses to pyrogens after lesions of the hypothalamic paraventricular nucleus. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 267(1). R323–R328. 53 indexed citations
6.
Wilkinson, M. F. & Norman W. Kasting. (1993). Vasopressin release within the ventral septal area of the rat brain during drug-induced antipyresis. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 264(6). R1133–R1138. 23 indexed citations
7.
Wilkinson, M. F. & Norman W. Kasting. (1990). Centrally acting vasopressin contributes to endotoxin tolerance. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 258(2). R443–R449. 27 indexed citations
8.
Wilkinson, M. F. & Norman W. Kasting. (1990). Central vasopressin V1-blockade prevents salicylate but not acetaminophen antipyresis. Journal of Applied Physiology. 68(5). 1793–1798. 13 indexed citations
9.
Wilkinson, M. F. & Norman W. Kasting. (1989). Central vasopressin V1-receptors mediate indomethacin-induced antipyresis in rats. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 256(5). R1164–R1168. 15 indexed citations

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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