Jennifer S. Perrin

1.3k total citations
19 papers, 1.0k citations indexed

About

Jennifer S. Perrin is a scholar working on Psychiatry and Mental health, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Jennifer S. Perrin has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Psychiatry and Mental health, 5 papers in Pharmacology and 4 papers in Cognitive Neuroscience. Recurrent topics in Jennifer S. Perrin's work include Electroconvulsive Therapy Studies (6 papers), Treatment of Major Depression (5 papers) and Circadian rhythm and melatonin (3 papers). Jennifer S. Perrin is often cited by papers focused on Electroconvulsive Therapy Studies (6 papers), Treatment of Major Depression (5 papers) and Circadian rhythm and melatonin (3 papers). Jennifer S. Perrin collaborates with scholars based in United Kingdom, Canada and France. Jennifer S. Perrin's co-authors include James Currie, Ian Reid, Daniel Bennett, Tomáš Paus, Alain Pitiot, Zdenka Pausová, Gabriel Leonard, Louis Richer, G. Bruce Pike and Shimon Amir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Jennifer S. Perrin

18 papers receiving 994 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer S. Perrin United Kingdom 11 367 271 200 186 182 19 1.0k
P. Stein Austria 13 451 1.2× 143 0.5× 125 0.6× 54 0.3× 91 0.5× 25 931
Genevieve S. Yuen United States 12 293 0.8× 159 0.6× 78 0.4× 48 0.3× 65 0.4× 15 1.0k
Andrea Gogos Australia 27 320 0.9× 363 1.3× 119 0.6× 94 0.5× 29 0.2× 68 2.0k
Sarah V. Biedermann Germany 17 152 0.4× 133 0.5× 82 0.4× 35 0.2× 44 0.2× 47 873
D. Kemali Italy 23 390 1.1× 715 2.6× 86 0.4× 167 0.9× 94 0.5× 86 1.5k
Tony E. Larkin United States 15 145 0.4× 146 0.5× 88 0.4× 107 0.6× 29 0.2× 21 763
Dániel Pham United States 14 581 1.6× 349 1.3× 130 0.7× 22 0.1× 241 1.3× 25 1.2k
Christina L. Fales United States 12 719 2.0× 181 0.7× 133 0.7× 19 0.1× 133 0.7× 16 1.1k
Lieuwe Appel Sweden 21 523 1.4× 182 0.7× 161 0.8× 32 0.2× 148 0.8× 54 1.4k
Steven B. Schwarzkopf United States 23 646 1.8× 815 3.0× 63 0.3× 52 0.3× 221 1.2× 55 1.6k

Countries citing papers authored by Jennifer S. Perrin

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer S. Perrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer S. Perrin. 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 Jennifer S. Perrin. The network helps show where Jennifer S. Perrin may publish in the future.

Co-authorship network of co-authors of Jennifer S. Perrin

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

All Works

19 of 19 papers shown
1.
Perrin, Jennifer S.. (2024). The Animum: Making the Anima and Animus Theories of Jungian and Post-Jungian Psychology Fully Queer-Compatible. Psychological Perspectives. 67(4). 394–402.
2.
Currie, James, et al.. (2017). Schizophrenia illness severity is associated with reduced loss aversion. Brain Research. 1664. 9–16. 10 indexed citations
3.
Fernie, Gordon, James Currie, Jennifer S. Perrin, et al.. (2017). Ketamine as the anaesthetic for electroconvulsive therapy: The KANECT randomised controlled trial. The British Journal of Psychiatry. 210(6). 422–428. 42 indexed citations
4.
Bennett, Daniel, James Currie, Gordon Fernie, Jennifer S. Perrin, & Ian Reid. (2016). Differences in Cognitive Outcomes After ECT Depending on BDNF and COMT Polymorphisms. Journal of Ect. 32(4). 243–250. 5 indexed citations
5.
Perrin, Jennifer S., et al.. (2015). Anticonvulsant Mechanisms of Electroconvulsive Therapy and Relation to Therapeutic Efficacy. Journal of Ect. 31(3). 173–178. 33 indexed citations
6.
Fernie, Gordon, Daniel Bennett, James Currie, Jennifer S. Perrin, & Ian Reid. (2014). Detecting objective and subjective cognitive effects of electroconvulsive therapy: intensity, duration and test utility in a large clinical sample. Psychological Medicine. 44(14). 2985–2994. 57 indexed citations
7.
Bennett, Daniel, Isobel M. Cameron, James Currie, Jennifer S. Perrin, & Ian Reid. (2013). Socioeconomic Status of Patients Receiving Electroconvulsive Therapy. Journal of Ect. 29(4). 303–307. 3 indexed citations
8.
Bennett, Daniel, et al.. (2012). A comparison of ECT dosing methods using a clinical sample. Journal of Affective Disorders. 141(2-3). 222–226. 24 indexed citations
9.
Perrin, Jennifer S., Daniel Bennett, James Currie, et al.. (2012). Electroconvulsive therapy reduces frontal cortical connectivity in severe depressive disorder. Proceedings of the National Academy of Sciences. 109(14). 5464–5468. 172 indexed citations
10.
Marečková, Klára, Jennifer S. Perrin, Irum Khan, et al.. (2012). Hormonal contraceptives, menstrual cycle and brain response to faces. Social Cognitive and Affective Neuroscience. 9(2). 191–200. 60 indexed citations
11.
Perrin, Jennifer S., Gabriel Leonard, M. Perron, et al.. (2009). Sex differences in the growth of white matter during adolescence. NeuroImage. 45(4). 1055–1066. 148 indexed citations
12.
Perrin, Jennifer S., Pierre‐Yves Hervé, Gabriel Leonard, et al.. (2008). Growth of White Matter in the Adolescent Brain: Role of Testosterone and Androgen Receptor. Journal of Neuroscience. 28(38). 9519–9524. 253 indexed citations
13.
Pitiot, Alain, et al.. (2007). Magnetic resonance imaging as a tool for in vivo and ex vivo anatomical phenotyping in experimental genetic models. Human Brain Mapping. 28(6). 555–566. 9 indexed citations
14.
Perrin, Jennifer S., et al.. (2006). The expression of the clock protein PER2 in the limbic forebrain is modulated by the estrous cycle. Proceedings of the National Academy of Sciences. 103(14). 5591–5596. 74 indexed citations
15.
16.
Perrin, Jennifer S., et al.. (2005). Exogenous corticosterone restores rhythmic expression of the clock gene, PER2, in the central extended amygdala in adrenalectomized rats. 1 indexed citations
17.
Lemoine, Patrick, et al.. (1981). Double-blind trial of amineptine and clomipramine in the treatment of depression. Current Medical Research and Opinion. 7(4). 234–240. 7 indexed citations
18.
Perrin, Jennifer S., et al.. (1961). [Contribution to the electroencephalographic study of phenothiazine neuroleptic therapy].. PubMed. 5. 391–5. 1 indexed citations
19.
Spielmann, Julia, et al.. (1961). Contribution à l’étude électroencéphalographique des cures neuroleptiques phénothiaziniques. Pharmacology. 5(3-5). 391–395. 1 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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