Julia Deakin

24 papers receiving 1.4k citations

Peers

Julia Deakin
Comparison fields: 5 of 100
  • General Decision Sciences 88
  • Cognitive Neuroscience 398
  • Biological Psychiatry 25
  • Psychiatry and Mental health 266
  • Social Psychology 230
Replace Daniel K. Campbell-Meiklejohn with:
Daniel K. Campbell-Meiklejohn United Kingdom
Dawn M. Marsh United States
Hélène Haker Switzerland
Matilde Maria Serena Vaghi United Kingdom
Ricardo Cáceda United States
Lena Rademacher Germany
Joshua C. Gray United States
Heather A. Berlin United States
Carmen Morawetz Germany
Catherine Hanak Belgium
Julia Deakin relative to Daniel K. Campbell-Meiklejohn United Kingdom Daniel K. Campbell-Meiklejohn's profile →
Citations per field
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Daniel K. Campbell-Meiklejohn · 1×
Citations per year

Countries citing papers authored by Julia Deakin

Since Specialization
Citations

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

Fields of papers citing papers by Julia Deakin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Julia Deakin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julia Deakin Line = papers co-authored together Julia Deakin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004250
2 2015197
3 2005169
4 2004168
5 2020101
6 202290
7 201781
8 201374
9 201866
10 201454
11 201650
12 200438
13 200736
14 201913
15 202013
16 202010
17 202210
18 20208
19 20217
20 20094

About Julia Deakin

Julia Deakin is a scholar working on Psychiatry and Mental health, Social Psychology, Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (6 papers), Neuroendocrine regulation and behavior (6 papers), Neural and Behavioral Psychology Studies (4 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Treatment of Major Depression (2 papers), COVID-19 and Mental Health (1 paper) and Historical and Modern Theater Studies (1 paper). The work is most often cited by research in General Decision Sciences (88 citations), Cognitive Neuroscience (398 citations), Biological Psychiatry (25 citations), Psychiatry and Mental health (266 citations) and Social Psychology (230 citations). Julia Deakin has collaborated with scholars based in United Kingdom, Netherlands and Canada. Frequent co-authors include Barbara Jacquelyn Sahakian, Trevor William Robbins, Michael R. F. Aitken, Peter J. Nestor, Shibley Rahman, Belinda Lennox, Michael S. Zandi, Simon Baron‐Cohen, Michael Vincent Lombardo and Richard A. I. Bethlehem. Their work appears in journals such as Psychopharmacology, Schizophrenia Research, Journal of Psychopharmacology, Translational Psychiatry and Brain Behavior and Immunity.

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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