Jo Cutler

1.7k total citations · 1 hit paper
17 papers, 445 citations indexed

About

Jo Cutler is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Jo Cutler has authored 17 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 8 papers in Social Psychology and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Jo Cutler's work include Neural and Behavioral Psychology Studies (8 papers), Psychology of Moral and Emotional Judgment (3 papers) and Neuroendocrine regulation and behavior (3 papers). Jo Cutler is often cited by papers focused on Neural and Behavioral Psychology Studies (8 papers), Psychology of Moral and Emotional Judgment (3 papers) and Neuroendocrine regulation and behavior (3 papers). Jo Cutler collaborates with scholars based in United Kingdom, United States and Germany. Jo Cutler's co-authors include Patricia Lockwood, Daniel Campbell-Meiklejohn, Matthew A J Apps, Nida Ali, Jonas P. Nitschke, Paul Forbes, Claus Lamm, Masud Husain, Ayat Abdurahman and Marco K. Wittmann and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and NeuroImage.

In The Last Decade

Jo Cutler

13 papers receiving 433 citations

Hit Papers

Resilience during uncertainty? Greater social connectedne... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jo Cutler United Kingdom 7 196 159 136 85 73 17 445
Rory MacLean United Kingdom 10 150 0.8× 155 1.0× 155 1.1× 94 1.1× 88 1.2× 30 505
João F. Guassi Moreira United States 13 300 1.5× 220 1.4× 182 1.3× 186 2.2× 71 1.0× 36 588
Sarah A Stoycos United States 11 153 0.8× 194 1.2× 185 1.4× 96 1.1× 75 1.0× 25 478
T. Kathy United States 10 176 0.9× 155 1.0× 87 0.6× 93 1.1× 81 1.1× 20 417
Katrina Koslov United States 7 131 0.7× 195 1.2× 104 0.8× 144 1.7× 146 2.0× 9 504
Andrew Mienaltowski United States 9 60 0.3× 137 0.9× 122 0.9× 92 1.1× 43 0.6× 17 358
Stuart Vyse United States 11 159 0.8× 202 1.3× 94 0.7× 41 0.5× 100 1.4× 34 598
Suzanne van de Groep Netherlands 10 194 1.0× 150 0.9× 72 0.5× 80 0.9× 77 1.1× 22 365
Xia Zhu China 12 113 0.6× 58 0.4× 87 0.6× 52 0.6× 51 0.7× 27 326
Heather M. Maranges United States 9 53 0.3× 108 0.7× 78 0.6× 99 1.2× 65 0.9× 30 281

Countries citing papers authored by Jo Cutler

Since Specialization
Citations

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

Fields of papers citing papers by Jo Cutler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jo Cutler

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

All Works

17 of 17 papers shown
1.
Rhoads, Shawn A, et al.. (2025). Neurocomputational basis of learning when choices simultaneously affect both oneself and others. Nature Communications. 16(1). 9350–9350.
2.
Cutler, Jo, Simon Little, Catherine J. Harmer, et al.. (2025). Dopamine Boosts Motivation for Prosocial Effort in Parkinson's Disease. Journal of Neuroscience. 46(8). e1593242024–e1593242024.
3.
Cutler, Jo, Luis Sebastian Contreras-Huerta, Boryana Todorova, et al.. (2025). Psychological interventions that decrease psychological distance or challenge system justification increase motivation to exert effort to mitigate climate change. Communications Psychology. 3(1). 148–148.
4.
Cutler, Jo, Daniel Drew, Matthew A J Apps, et al.. (2025). Ventromedial prefrontal cortex lesions disrupt learning to reward others. Brain. 148(10). 3537–3550. 1 indexed citations
5.
Cutler, Jo, et al.. (2025). Greater income and financial well-being are associated with higher prosocial preferences and behaviors across 76 countries. PNAS Nexus. 4(2). pgae582–pgae582. 1 indexed citations
6.
Garvert, Mona M., Lei Zhang, Jo Cutler, et al.. (2025). Dorsomedial and ventromedial prefrontal cortex lesions differentially impact social influence and temporal discounting. PLoS Biology. 23(4). e3003079–e3003079. 1 indexed citations
7.
Gaule, Anne, Peter Martin, Patricia Lockwood, et al.. (2024). Reduced prosocial motivation and effort in adolescents with conduct problems and callous‐unemotional traits. Journal of Child Psychology and Psychiatry. 65(8). 1061–1071.
8.
Lockwood, Patricia, Jo Cutler, Daniel Drew, et al.. (2024). Human ventromedial prefrontal cortex is necessary for prosocial motivation. Nature Human Behaviour. 8(7). 1403–1416. 9 indexed citations
9.
Lockwood, Patricia, et al.. (2023). l-DOPA and oxytocin influence the neurocomputational mechanisms of self-benefitting and prosocial reinforcement learning. NeuroImage. 270. 119983–119983. 3 indexed citations
10.
Martins, Daniel, Patricia Lockwood, Jo Cutler, Rosalyn Moran, & Yannis Paloyelis. (2022). Oxytocin modulates neurocomputational mechanisms underlying prosocial reinforcement learning. Progress in Neurobiology. 213. 102253–102253. 12 indexed citations
11.
Lockwood, Patricia, Marco K. Wittmann, Hamed Nili, et al.. (2022). Distinct neural representations for prosocial and self-benefiting effort. Current Biology. 32(19). 4172–4185.e7. 26 indexed citations
12.
Rhoads, Shawn A, Jo Cutler, & Abigail A. Marsh. (2021). A feature-based network analysis and fMRI meta-analysis reveal three distinct types of prosocial decisions. Social Cognitive and Affective Neuroscience. 16(12). 1214–1233. 21 indexed citations
13.
Cutler, Jo, et al.. (2021). Selective effects of serotonin on choices to gather more information. Journal of Psychopharmacology. 35(6). 631–640. 5 indexed citations
14.
Cutler, Jo, Marco K. Wittmann, Ayat Abdurahman, et al.. (2021). Ageing is associated with disrupted reinforcement learning whilst learning to help others is preserved. Nature Communications. 12(1). 4440–4440. 49 indexed citations
15.
Zeghari, Radia, et al.. (2021). TaPiscine: An effort‐based decision‐making task for apathy assessment in people with neurocognitive disorders. Alzheimer s & Dementia. 17(S6). 1 indexed citations
16.
Nitschke, Jonas P., Paul Forbes, Nida Ali, et al.. (2020). Resilience during uncertainty? Greater social connectedness during COVID‐19 lockdown is associated with reduced distress and fatigue. British Journal of Health Psychology. 26(2). 553–569. 235 indexed citations breakdown →
17.
Cutler, Jo & Daniel Campbell-Meiklejohn. (2018). A comparative fMRI meta-analysis of altruistic and strategic decisions to give. NeuroImage. 184. 227–241. 81 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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