Tony E. Larkin

1.0k total citations
21 papers, 763 citations indexed

About

Tony E. Larkin is a scholar working on Social Psychology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tony E. Larkin has authored 21 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 7 papers in Cognitive Neuroscience and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tony E. Larkin's work include Neuroendocrine regulation and behavior (7 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers) and Colorectal Cancer Screening and Detection (3 papers). Tony E. Larkin is often cited by papers focused on Neuroendocrine regulation and behavior (7 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers) and Colorectal Cancer Screening and Detection (3 papers). Tony E. Larkin collaborates with scholars based in United States, United Kingdom and Israel. Tony E. Larkin's co-authors include H. Elliott Albers, Zhimin Song, Richard E. Harris, Eric Ichesco, Chelsea Kaplan, Daniel J. Clauw, Kim L. Huhman, Katharine E. McCann, Alisa Norvelle and Andrew Schrepf and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tony E. Larkin

21 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tony E. Larkin United States 15 365 167 150 146 145 21 763
Emilio Domı́nguez-Salazar Mexico 15 196 0.5× 181 1.1× 180 1.2× 41 0.3× 192 1.3× 28 847
Yoshiyuki Kasahara Japan 17 490 1.3× 118 0.7× 175 1.2× 55 0.4× 103 0.7× 53 1.0k
Koichi Isogawa Japan 19 142 0.4× 104 0.6× 301 2.0× 90 0.6× 137 0.9× 40 938
Tomi Karjalainen Finland 16 166 0.5× 105 0.6× 50 0.3× 55 0.4× 227 1.6× 27 698
Maya Lebow Israel 10 297 0.8× 92 0.6× 362 2.4× 43 0.3× 255 1.8× 12 889
Ikuko Sato‐Suzuki Japan 14 134 0.4× 88 0.5× 74 0.5× 69 0.5× 204 1.4× 20 660
Jan S. Purba Indonesia 12 571 1.6× 104 0.6× 338 2.3× 59 0.4× 141 1.0× 33 1.2k
Genevieve S. Yuen United States 12 72 0.2× 150 0.9× 127 0.8× 159 1.1× 293 2.0× 15 1.0k
Anushka Fernando United Kingdom 14 146 0.4× 75 0.4× 148 1.0× 106 0.7× 409 2.8× 17 872
Jari Willing United States 15 271 0.7× 56 0.3× 288 1.9× 51 0.3× 189 1.3× 25 959

Countries citing papers authored by Tony E. Larkin

Since Specialization
Citations

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

Fields of papers citing papers by Tony E. Larkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony E. Larkin. 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 Tony E. Larkin. The network helps show where Tony E. Larkin may publish in the future.

Co-authorship network of co-authors of Tony E. Larkin

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

All Works

20 of 20 papers shown
1.
Buchtel, Henry A., Ishtiaq Mawla, Eric Ichesco, et al.. (2024). Temporal Summation but Not Expectations of Pain Relief Predict Response to Acupuncture Treatment in Fibromyalgia. Journal of Pain. 25(10). 104622–104622. 3 indexed citations
2.
3.
Dai, Rui, Zirui Huang, Tony E. Larkin, et al.. (2023). Psychedelic concentrations of nitrous oxide reduce functional differentiation in frontoparietal and somatomotor cortical networks. Communications Biology. 6(1). 1284–1284. 2 indexed citations
4.
Dai, Rui, Tony E. Larkin, Zirui Huang, et al.. (2023). Classical and non-classical psychedelic drugs induce common network changes in human cortex. NeuroImage. 273. 120097–120097. 24 indexed citations
5.
Rutter, Matthew D., Zoë Hoare, Robert M. Evans, et al.. (2021). O3 Water-assisted sigmoidoscopy in NHS bowel scope screening: the wash multicentre randomised controlled trial. A2.1–A2. 1 indexed citations
6.
Rutter, Matthew D., Rachel Evans, Zoë Hoare, et al.. (2020). WASh multicentre randomised controlled trial: water-assisted sigmoidoscopy in English NHS bowel scope screening. Gut. 70(5). 845–852. 3 indexed citations
7.
Larkin, Tony E., Chelsea Kaplan, Andrew Schrepf, et al.. (2020). Altered network architecture of functional brain communities in chronic nociplastic pain. NeuroImage. 226. 117504–117504. 28 indexed citations
8.
Kaplan, Chelsea, Andrew Schrepf, Eric Ichesco, et al.. (2019). Association of Inflammation With Pronociceptive Brain Connections in Rheumatoid Arthritis Patients With Concomitant Fibromyalgia. Arthritis & Rheumatology. 72(1). 41–46. 27 indexed citations
9.
Ross, Amy P., Katharine E. McCann, Tony E. Larkin, et al.. (2019). Sex-dependent effects of social isolation on the regulation of arginine-vasopressin (AVP) V1a, oxytocin (OT) and serotonin (5HT) 1a receptor binding and aggression. Hormones and Behavior. 116. 104578–104578. 41 indexed citations
10.
Borland, Johnathan M., James C. Walton, Alisa Norvelle, et al.. (2019). Social experience and sex-dependent regulation of aggression in the lateral septum by extrasynaptic δGABAA receptors. Psychopharmacology. 237(2). 329–344. 15 indexed citations
11.
Beintaris, Iosif, Brian P. Saunders, Colin Rees, et al.. (2019). The WASh Trial: water-assisted sigmoidoscopy in the English Bowel Scope Screening Programme: study protocol for a randomized multicenter trial. SHILAP Revista de lepidopterología. 7(11). E1574–E1582. 4 indexed citations
12.
Kaplan, Chelsea, Andrew Schrepf, Deniz Vatansever, et al.. (2019). Functional and neurochemical disruptions of brain hub topology in chronic pain. Pain. 160(4). 973–983. 56 indexed citations
13.
Schrepf, Andrew, Chelsea Kaplan, Eric Ichesco, et al.. (2018). A multi-modal MRI study of the central response to inflammation in rheumatoid arthritis. Nature Communications. 9(1). 2243–2243. 104 indexed citations
14.
Basu, Neil, Chelsea Kaplan, Eric Ichesco, et al.. (2018). Neurobiologic Features of Fibromyalgia Are Also Present Among Rheumatoid Arthritis Patients. Arthritis & Rheumatology. 70(7). 1000–1007. 60 indexed citations
15.
16.
17.
Terranova, Joseph I., et al.. (2016). Serotonin and arginine–vasopressin mediate sex differences in the regulation of dominance and aggression by the social brain. Proceedings of the National Academy of Sciences. 113(46). 13233–13238. 91 indexed citations
18.
Norvelle, Alisa, et al.. (2015). Dopamine in the nucleus accumbens modulates the memory of social defeat in Syrian hamsters (Mesocricetus auratus). Behavioural Brain Research. 286. 22–28. 37 indexed citations
19.
20.
Song, Zhimin, et al.. (2014). Oxytocin induces social communication by activating arginine-vasopressin V1a receptors and not oxytocin receptors. Psychoneuroendocrinology. 50. 14–19. 98 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Emilio Domı́nguez-Salazar Breakdown of academic impact, for papers by Yoshiyuki Kasahara Breakdown of academic impact, for papers by Koichi Isogawa Breakdown of academic impact, for papers by Tomi Karjalainen Breakdown of academic impact, for papers by Maya Lebow Breakdown of academic impact, for papers by Ikuko Sato‐Suzuki Breakdown of academic impact, for papers by Jan S. Purba Breakdown of academic impact, for papers by Genevieve S. Yuen Breakdown of academic impact, for papers by Anushka Fernando Breakdown of academic impact, for papers by Jari Willing
Rankless by CCL
2026