Manuel Kuhn

1.6k total citations
30 papers, 412 citations indexed

About

Manuel Kuhn is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Behavioral Neuroscience. According to data from OpenAlex, Manuel Kuhn has authored 30 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 16 papers in Experimental and Cognitive Psychology and 13 papers in Behavioral Neuroscience. Recurrent topics in Manuel Kuhn's work include Stress Responses and Cortisol (13 papers), Mental Health Research Topics (11 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (7 papers). Manuel Kuhn is often cited by papers focused on Stress Responses and Cortisol (13 papers), Mental Health Research Topics (11 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (7 papers). Manuel Kuhn collaborates with scholars based in United States, Germany and South Korea. Manuel Kuhn's co-authors include Tina B. Lonsdorf, Rachel Sjouwerman, Gaëtan Mertens, Anna Gerlicher, Juyoen Hur, Allegra S. Anderson, Alexander J. Shackman, Kathryn A. DeYoung, Andrew S. Fox and Alfons O. Hamm and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Manuel Kuhn

23 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Kuhn United States 13 216 169 130 84 65 30 412
Sharon Vaisvaser Israel 10 200 0.9× 119 0.7× 109 0.8× 66 0.8× 55 0.8× 14 389
Tori Espensen-Sturges United States 5 276 1.3× 140 0.8× 160 1.2× 94 1.1× 56 0.9× 5 399
Aina Àvila-Parcet Spain 2 348 1.6× 174 1.0× 144 1.1× 95 1.1× 81 1.2× 4 476
Christine Buff Germany 9 249 1.2× 178 1.1× 56 0.4× 55 0.7× 86 1.3× 10 347
Leonie Brinkmann Germany 13 341 1.6× 254 1.5× 75 0.6× 78 0.9× 109 1.7× 15 474
Lycia D. de Voogd Netherlands 12 338 1.6× 112 0.7× 122 0.9× 50 0.6× 102 1.6× 25 470
Rachel Sjouwerman Germany 9 238 1.1× 179 1.1× 154 1.2× 117 1.4× 46 0.7× 11 417
Christian Panitz Germany 12 279 1.3× 162 1.0× 79 0.6× 44 0.5× 64 1.0× 27 428
Evelyn Glotzbach-Schoon Germany 12 254 1.2× 158 0.9× 152 1.2× 40 0.5× 74 1.1× 14 365
Dirk Schümann Germany 9 174 0.8× 92 0.5× 160 1.2× 77 0.9× 86 1.3× 19 326

Countries citing papers authored by Manuel Kuhn

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Kuhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Kuhn

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Kuhn. A scholar is included among the top collaborators of Manuel Kuhn 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 Manuel Kuhn. Manuel Kuhn 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.
2.
Pizzagalli, Diego A., Manuel Kuhn, Peter Zhukovsky, et al.. (2025). Smart Trial to Boost Antidepressant Response in Major Depression. Biological Psychiatry. 97(9). S9–S10.
3.
Lees, Ty, Mohan Li, Manuel Kuhn, et al.. (2025). Differences in High-Frequency Connectivity Among Large-Scale Functional Networks Linked to Major Depressive Disorder and Treatment-Resistant Depression. Biological Psychiatry Global Open Science. 5(6). 100602–100602.
4.
Kuhn, Manuel, et al.. (2025). Neuroticism modulates functional connectivity of the midcingulate cortex during emotional conflict. Scientific Reports. 15(1). 13095–13095. 1 indexed citations
5.
Cornwell, Brian R., Allegra S. Anderson, Manuel Kuhn, et al.. (2025). A Shared Threat-Anticipation Circuit Is Dynamically Engaged at Different Moments by Certain and Uncertain Threat. Journal of Neuroscience. 45(16). e2113242025–e2113242025. 1 indexed citations
6.
Kuhn, Manuel, et al.. (2025). Computational Phenotyping of Effort-Based Decision Making in Unmedicated Adults With Remitted Depression. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 10(6). 607–615.
7.
8.
Dillon, Daniel G., Emily L. Belleau, Manuel Kuhn, et al.. (2024). Using Drift Diffusion and RL Models to Disentangle Effects of Depression On Decision-Making vs. Learning in the Probabilistic Reward Task. SHILAP Revista de lepidopterología. 8(1). 46–69. 3 indexed citations
9.
Hur, Juyoen, Matthew G. Barstead, Allegra S. Anderson, et al.. (2024). Neuroticism/Negative Emotionality Is Associated with Increased Reactivity to Uncertain Threat in the Bed Nucleus of the Stria Terminalis, Not the Amygdala. Journal of Neuroscience. 44(32). e1868232024–e1868232024. 5 indexed citations
10.
Kuhn, Manuel, et al.. (2024). Cognitive Signatures of Depressive and Anhedonic Symptoms and Affective States Using Computational Modeling and Neurocognitive Testing. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 9(7). 726–736. 4 indexed citations
11.
Kuhn, Manuel, et al.. (2024). Psychobiological Stress Response Profiles in Current and Remitted Depression: A Person-Centered, Multisystem Approach. Biological Psychiatry Global Open Science. 5(1). 100400–100400.
12.
Webb, Christian A., et al.. (2023). Predicting Fear Extinction in Posttraumatic Stress Disorder. Brain Sciences. 13(8). 1131–1131. 2 indexed citations
13.
14.
Wendt, Julia, Manuel Kuhn, Alfons O. Hamm, & Tina B. Lonsdorf. (2023). Recent advances in studying brain‐behavior interactions using functional imaging: The primary startle response pathway and its affective modulation in humans. Psychophysiology. 60(12). e14364–e14364. 6 indexed citations
15.
16.
Hur, Juyoen, Manuel Kuhn, Allegra S. Anderson, et al.. (2022). Anxiety-Related Frontocortical Activity Is Associated With Dampened Stressor Reactivity in the Real World. Psychological Science. 33(6). 906–924. 14 indexed citations
17.
Kuhn, Manuel, Julia Wendt, Rachel Sjouwerman, et al.. (2019). The Neurofunctional Basis of Affective Startle Modulation in Humans: Evidence From Combined Facial Electromyography and Functional Magnetic Resonance Imaging. Biological Psychiatry. 87(6). 548–558. 46 indexed citations
18.
Kuhn, Manuel, Gaëtan Mertens, & Tina B. Lonsdorf. (2016). State anxiety modulates the return of fear. International Journal of Psychophysiology. 110. 194–199. 16 indexed citations
19.
Mertens, Gaëtan, Manuel Kuhn, An Raes, et al.. (2015). Fear expression and return of fear following threat instruction with or without direct contingency experience. Cognition & Emotion. 30(5). 968–984. 25 indexed citations
20.
Kuhn, Manuel, et al.. (2014). Neuroplasticity and memory formation in major depressive disorder: An imaging genetics perspective on serotonin and BDNF. Restorative Neurology and Neuroscience. 32(1). 25–49. 25 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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