John Yeomans

1.5k total citations
22 papers, 1.2k citations indexed

About

John Yeomans is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, John Yeomans has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 6 papers in Cognitive Neuroscience. Recurrent topics in John Yeomans's work include Receptor Mechanisms and Signaling (8 papers), Neuroendocrine regulation and behavior (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). John Yeomans is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Neuroendocrine regulation and behavior (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). John Yeomans collaborates with scholars based in Canada, United States and Australia. John Yeomans's co-authors include Marco A. S. Baptista, Gina L. Forster, Charles D. Blaha, Jeffrey Burgdorf, Shuyin Liang, Jürgen Wess, Gregory P. Mark, Pedro Rada, Bartley G. Hoebel and Haoran Wang and has published in prestigious journals such as PLoS ONE, Brain Research and Neuroscience & Biobehavioral Reviews.

In The Last Decade

John Yeomans

22 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Yeomans Canada 16 547 532 326 174 120 22 1.2k
David Ehrlich Australia 24 700 1.3× 660 1.2× 405 1.2× 221 1.3× 61 0.5× 58 1.6k
C. A. Kitt United States 11 1.0k 1.8× 1.2k 2.3× 393 1.2× 104 0.6× 118 1.0× 19 1.8k
Katsuyasu Sakurai Japan 16 369 0.7× 444 0.8× 453 1.4× 178 1.0× 110 0.9× 28 1.4k
George D. Mower United States 25 785 1.4× 1.2k 2.2× 783 2.4× 81 0.5× 60 0.5× 49 1.9k
E. Hazel Murphy United States 24 429 0.8× 858 1.6× 763 2.3× 118 0.7× 63 0.5× 59 1.6k
Gleb P. Shumyatsky United States 21 815 1.5× 999 1.9× 503 1.5× 189 1.1× 110 0.9× 28 1.9k
Bao-Xia Han United States 14 187 0.3× 377 0.7× 333 1.0× 163 0.9× 40 0.3× 17 905
John Meitzen United States 28 314 0.6× 635 1.2× 239 0.7× 473 2.7× 249 2.1× 55 1.8k
Jennifer Coats United States 7 456 0.8× 502 0.9× 146 0.4× 291 1.7× 226 1.9× 14 1.2k
Jun Takatoh United States 16 229 0.4× 364 0.7× 483 1.5× 201 1.2× 46 0.4× 23 1.1k

Countries citing papers authored by John Yeomans

Since Specialization
Citations

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

Fields of papers citing papers by John Yeomans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Yeomans. 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 John Yeomans. The network helps show where John Yeomans may publish in the future.

Co-authorship network of co-authors of John Yeomans

This figure shows the co-authorship network connecting the top 25 collaborators of John Yeomans. A scholar is included among the top collaborators of John Yeomans 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 John Yeomans. John Yeomans 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.
Ivakine, Evgueni A., Emily Lam, Marielle Deurloo, et al.. (2015). Disruption of Src Is Associated with Phenotypes Related to Williams-Beuren Syndrome and Altered Cellular Localization of TFII-I. eNeuro. 2(2). ENEURO.0016–14.2015. 9 indexed citations
2.
Curry, Timothy B., et al.. (2013). Dopamine receptor D2 deficiency reduces mouse pup ultrasonic vocalizations and maternal responsiveness. Genes Brain & Behavior. 12(4). 397–404. 28 indexed citations
3.
Mervis, Carolyn Β., Emily Lam, Edwin J. Young, et al.. (2012). Duplication of GTF2I Results in Separation Anxiety in Mice and Humans. The American Journal of Human Genetics. 90(6). 1064–1070. 57 indexed citations
4.
Berger, Alexandra, Anne H. Tran, Salomon Minkin, et al.. (2012). Diminished pheromone‐induced sexual behavior in neurokinin‐1 receptor deficient (TACR1−/−) mice. Genes Brain & Behavior. 11(5). 568–576. 15 indexed citations
5.
Wang, Jing, Ian C.G. Weaver, Andrée Gauthier-Fisher, et al.. (2010). CBP Histone Acetyltransferase Activity Regulates Embryonic Neural Differentiation in the Normal and Rubinstein-Taybi Syndrome Brain. Developmental Cell. 18(1). 114–125. 143 indexed citations
6.
Liang, Shuyin, et al.. (2008). Ultrasonic Vocalizations Induced by Sex and Amphetamine in M2, M4, M5 Muscarinic and D2 Dopamine Receptor Knockout Mice. PLoS ONE. 3(4). e1893–e1893. 127 indexed citations
7.
Wang, Haoran, Caroline H. Ko, Margaret M. Koletar, Martin R. Ralph, & John Yeomans. (2007). Casein kinase I epsilon gene transfer into the suprachiasmatic nucleus via electroporation lengthens circadian periods of tau mutant hamsters. European Journal of Neuroscience. 25(11). 3359–3366. 13 indexed citations
8.
Huang, Juan, Xihong Wu, John Yeomans, & Liang Li. (2005). Opposite effects of tetanic stimulation of the auditory thalamus or auditory cortex on the acoustic startle reflex in awake rats. European Journal of Neuroscience. 21(7). 1943–1956. 11 indexed citations
9.
Martel, Philippe, et al.. (2005). M3-like muscarinic receptors mediate Ca2+ influx in rat mesencephalic GABAergic neurones through a protein kinase C-dependent mechanism. Neuropharmacology. 48(6). 796–809. 19 indexed citations
10.
Luca, Vincenzo De, et al.. (2004). Linkage of M5 Muscarinic and α7-Nicotinic Receptor Genes on 15q13 to Schizophrenia. Neuropsychobiology. 50(2). 124–127. 60 indexed citations
11.
12.
Yeomans, John. (2002). Tactile, acoustic and vestibular systems sum to elicit the startle reflex. Neuroscience & Biobehavioral Reviews. 26(1). 1–11. 249 indexed citations
13.
Takeuchi, Junichi, Zhengping Jia, Laure Jamot, et al.. (2002). Increased drinking in mutant mice with truncated M5 muscarinic receptor genes. Pharmacology Biochemistry and Behavior. 72(1-2). 117–123. 28 indexed citations
14.
Yeomans, John, Gina L. Forster, & Charles D. Blaha. (2001). M5 muscarinic receptors are needed for slow activation of dopamine neurons and for rewarding brain stimulation. Life Sciences. 68(22-23). 2449–2456. 92 indexed citations
15.
Rada, Pedro, Gregory P. Mark, John Yeomans, & Bartley G. Hoebel. (2000). Acetylcholine Release in Ventral Tegmental Area by Hypothalamic Self-Stimulation, Eating, and Drinking. Pharmacology Biochemistry and Behavior. 65(3). 375–379. 86 indexed citations
16.
Yeomans, John & Marco A. S. Baptista. (1997). Both Nicotinic and Muscarinic Receptors in Ventral Tegmental Area Contribute to Brain-Stimulation Reward. Pharmacology Biochemistry and Behavior. 57(4). 915–921. 109 indexed citations
17.
Yeomans, John. (1995). Electrically evoked behaviors: axons and synapses mapped with collision tests. Behavioural Brain Research. 67(2). 121–132. 20 indexed citations
18.
Yeomans, John, et al.. (1986). Current-distance relations of axons mediating circling elicited by midbrain stimulation. Brain Research. 372(1). 95–106. 32 indexed citations
19.
Yeomans, John. (1969). The scarce Australians. 1 indexed citations
20.
Yeomans, John. (1968). The other Taj Mahal: What happened to the Sydney Opera House. 4 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 David Ehrlich Breakdown of academic impact, for papers by C. A. Kitt Breakdown of academic impact, for papers by Katsuyasu Sakurai Breakdown of academic impact, for papers by George D. Mower Breakdown of academic impact, for papers by E. Hazel Murphy Breakdown of academic impact, for papers by Gleb P. Shumyatsky Breakdown of academic impact, for papers by Bao-Xia Han Breakdown of academic impact, for papers by John Meitzen Breakdown of academic impact, for papers by Jennifer Coats Breakdown of academic impact, for papers by Jun Takatoh
Rankless by CCL
2026