Toby Wise

3.8k total citations · 1 hit paper
38 papers, 1.7k citations indexed

About

Toby Wise is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Toby Wise has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 15 papers in Experimental and Cognitive Psychology and 8 papers in Psychiatry and Mental health. Recurrent topics in Toby Wise's work include Functional Brain Connectivity Studies (11 papers), Memory and Neural Mechanisms (10 papers) and Mental Health Research Topics (9 papers). Toby Wise is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Memory and Neural Mechanisms (10 papers) and Mental Health Research Topics (9 papers). Toby Wise collaborates with scholars based in United Kingdom, United States and Chile. Toby Wise's co-authors include Dean Mobbs, Tomislav D. Zbozinek, Giorgia Michelini, Cindy C. Hagan, Danilo Arnone, Allan H. Young, Anthony J. Cleare, Andrés Herane-Vives, Lindsey Marwood and Adam M. Perkins and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Toby Wise

36 papers receiving 1.7k citations

Hit Papers

Changes in risk perception and self-reported protective b... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toby Wise United Kingdom 18 698 442 336 248 244 38 1.7k
Cindy C. Hagan United Kingdom 22 928 1.3× 855 1.9× 467 1.4× 202 0.8× 262 1.1× 29 2.2k
Benedetta Vai Italy 28 607 0.9× 1.1k 2.6× 556 1.7× 270 1.1× 759 3.1× 75 2.9k
Zhe Li China 25 609 0.9× 595 1.3× 374 1.1× 204 0.8× 286 1.2× 107 2.0k
Renate Reniers United Kingdom 22 595 0.9× 503 1.1× 291 0.9× 101 0.4× 536 2.2× 39 1.7k
Kimberly Dienes United States 14 136 0.2× 488 1.1× 94 0.3× 52 0.2× 522 2.1× 20 1.3k
Andrea Phillipou Australia 26 283 0.4× 1.6k 3.5× 290 0.9× 56 0.2× 422 1.7× 105 2.2k
Li Kuang China 20 357 0.5× 772 1.7× 274 0.8× 52 0.2× 220 0.9× 90 1.5k
Wolfram Kawohl Switzerland 28 906 1.3× 1.5k 3.4× 289 0.9× 74 0.3× 909 3.7× 159 3.5k
Eric J. Tan Australia 24 411 0.6× 908 2.1× 314 0.9× 47 0.2× 703 2.9× 75 2.0k
Wo Wang China 20 391 0.6× 776 1.8× 230 0.7× 82 0.3× 200 0.8× 62 1.3k

Countries citing papers authored by Toby Wise

Since Specialization
Citations

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

Fields of papers citing papers by Toby Wise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toby Wise

This figure shows the co-authorship network connecting the top 25 collaborators of Toby Wise. A scholar is included among the top collaborators of Toby Wise 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 Toby Wise. Toby Wise 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.
Martin, Ingrid M., et al.. (2025). Impaired Goal-Directed Planning in Transdiagnostic Compulsivity Is Explained by Uncertainty About Learned Task Structure. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 11(3). 357–365.
2.
Qi, Song, et al.. (2024). The Role of the Medial Prefrontal Cortex in Spatial Margin of Safety Calculations. Journal of Neuroscience. 44(34). e1162222024–e1162222024. 3 indexed citations
3.
Wise, Toby, et al.. (2024). Incorporating uncertainty within dynamic interoceptive learning. Frontiers in Psychology. 15. 1254564–1254564. 1 indexed citations
4.
Wise, Toby, Caroline J. Charpentier, Peter Dayan, & Dean Mobbs. (2023). Interactive cognitive maps support flexible behavior under threat. Cell Reports. 42(8). 113008–113008. 5 indexed citations
5.
Wise, Toby, et al.. (2023). Naturalistic reinforcement learning. Trends in Cognitive Sciences. 28(2). 144–158. 16 indexed citations
6.
Marwood, Lindsey, Jess Kerr‐Gaffney, Toby Wise, et al.. (2023). The Fake IQ Test: a novel measure of self-reflection in major depressive disorder. BJPsych Open. 9(4). e105–e105. 1 indexed citations
7.
Wise, Toby, Tomislav D. Zbozinek, Caroline J. Charpentier, et al.. (2022). Computationally-defined markers of uncertainty aversion predict emotional responses during a global pandemic.. Emotion. 23(3). 722–736. 4 indexed citations
8.
Zbozinek, Tomislav D., et al.. (2022). Ambiguity drives higher-order Pavlovian learning. PLoS Computational Biology. 18(9). e1010410–e1010410. 3 indexed citations
9.
Marwood, Lindsey, Toby Wise, Jess Kerr‐Gaffney, et al.. (2022). Brain activity during pursuit and goal-conflict threat avoidance in major depressive disorder. SHILAP Revista de lepidopterología. 5. e9–e9. 1 indexed citations
10.
Tashjian, Sarah M., Toby Wise, & Dean Mobbs. (2022). Model-based prioritization for acquiring protection. PLoS Computational Biology. 18(12). e1010805–e1010805. 2 indexed citations
11.
Wise, Toby, et al.. (2021). Model-based aversive learning in humans is supported by preferential task state reactivation. Science Advances. 7(31). 21 indexed citations
12.
Zbozinek, Tomislav D., et al.. (2021). Pavlovian occasion setting in human fear and appetitive conditioning: Effects of trait anxiety and trait depression. Behaviour Research and Therapy. 147. 103986–103986. 11 indexed citations
13.
Mobbs, Dean, et al.. (2021). Promises and challenges of human computational ethology. Neuron. 109(14). 2224–2238. 37 indexed citations
14.
Wise, Toby & Raymond J. Dolan. (2020). Associations between aversive learning processes and transdiagnostic psychiatric symptoms in a general population sample. Nature Communications. 11(1). 4179–4179. 58 indexed citations
15.
Herane-Vives, Andrés, Valeria de Angel, Α. Παπαδόπουλος, et al.. (2018). Short‐term and long‐term measures of cortisol in saliva and hair in atypical and non‐atypical depression. Acta Psychiatrica Scandinavica. 137(3). 216–230. 32 indexed citations
16.
Wise, Toby, Matthew Taylor, Andrés Herane-Vives, et al.. (2018). Glutamatergic hypofunction in medication-free major depression: Secondary effects of affective diagnosis and relationship to peripheral glutaminase. Journal of Affective Disorders. 234. 214–219. 19 indexed citations
17.
Wise, Toby, Lindsey Marwood, Adam M. Perkins, et al.. (2017). Instability of default mode network connectivity in major depression: a two-sample confirmation study. Translational Psychiatry. 7(4). e1105–e1105. 141 indexed citations
18.
Wise, Toby, Danilo Arnone, Lindsey Marwood, et al.. (2016). Recruiting for research studies using online public advertisements examples from research in affective disorders. Neuropsychiatric Disease and Treatment. 12. 279–279. 33 indexed citations
19.
Herane-Vives, Andrés, Valeria de Angel, Α. Παπαδόπουλος, et al.. (2015). The relationship between cortisol, stress and psychiatric illness: New insights using hair analysis. Journal of Psychiatric Research. 70. 38–49. 109 indexed citations
20.
Arnone, Danilo, et al.. (2014). Diagnostic and therapeutic utility of neuroimaging in depression: an overview. Neuropsychiatric Disease and Treatment. 10. 1509–1509. 60 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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