Nils Kohn

4.0k total citations · 1 hit paper
85 papers, 2.7k citations indexed

About

Nils Kohn is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Nils Kohn has authored 85 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 31 papers in Experimental and Cognitive Psychology and 15 papers in Clinical Psychology. Recurrent topics in Nils Kohn's work include Functional Brain Connectivity Studies (26 papers), Mental Health Research Topics (21 papers) and Neural and Behavioral Psychology Studies (15 papers). Nils Kohn is often cited by papers focused on Functional Brain Connectivity Studies (26 papers), Mental Health Research Topics (21 papers) and Neural and Behavioral Psychology Studies (15 papers). Nils Kohn collaborates with scholars based in Germany, Netherlands and United States. Nils Kohn's co-authors include Ute Habel, Simon B. Eickhoff, Angela R. Laird, M. Scheller, Peter T. Fox, Guillén Fernández, Frank Schneider, Thilo Kellermann, Ruben C. Gur and Birgit Derntl and has published in prestigious journals such as PLoS ONE, NeuroImage and American Journal of Psychiatry.

In The Last Decade

Nils Kohn

82 papers receiving 2.7k citations

Hit Papers

Neural network of cognitive emotion regulation — An ALE m... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nils Kohn Germany 27 1.3k 878 592 463 404 85 2.7k
Andrew S. Fox United States 10 2.0k 1.5× 826 0.9× 664 1.1× 674 1.5× 427 1.1× 12 3.1k
Ulrike Lueken Germany 29 1.2k 0.9× 1.2k 1.4× 611 1.0× 265 0.6× 483 1.2× 106 2.6k
Go Okada Japan 31 2.0k 1.5× 969 1.1× 464 0.8× 322 0.7× 549 1.4× 79 3.2k
Robin L. Aupperle United States 26 828 0.6× 687 0.8× 782 1.3× 231 0.5× 323 0.8× 111 2.3k
Geoffrey B. Hall Canada 32 1.7k 1.3× 598 0.7× 641 1.1× 382 0.8× 868 2.1× 114 3.4k
Adriana Sampaio Portugal 29 1.3k 1.0× 535 0.6× 551 0.9× 262 0.6× 427 1.1× 160 2.5k
Hirotaka Kosaka Japan 29 1.9k 1.5× 499 0.6× 623 1.1× 676 1.5× 603 1.5× 113 3.3k
Matthew L. Dixon Canada 19 1.8k 1.4× 1.0k 1.2× 991 1.7× 443 1.0× 403 1.0× 27 3.0k
Travis H. Turner United States 17 1.9k 1.4× 1.1k 1.3× 671 1.1× 377 0.8× 1.1k 2.7× 48 3.2k
Madeleine S. Goodkind United States 22 1.5k 1.1× 765 0.9× 622 1.1× 438 0.9× 1.1k 2.8× 27 3.0k

Countries citing papers authored by Nils Kohn

Since Specialization
Citations

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

Fields of papers citing papers by Nils Kohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nils Kohn

This figure shows the co-authorship network connecting the top 25 collaborators of Nils Kohn. A scholar is included among the top collaborators of Nils Kohn 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 Nils Kohn. Nils Kohn 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
2.
Kraaijenvanger, Eline J., et al.. (2025). The effects of childhood adversity: Two specific neural patterns. Neuroscience & Biobehavioral Reviews. 174. 106176–106176.
3.
Haak, Koen V., Janna N. Vrijsen, Marianne Oldehinkel, et al.. (2024). Childhood adversity predicts striatal functional connectivity gradient changes after acute stress. Imaging Neuroscience. 2. 1 indexed citations
4.
Kogler, Lydia, Christina Regenbogen, Veronika Müller, et al.. (2023). Cognitive Stress Regulation in Schizophrenia Patients and Healthy Individuals: Brain and Behavior. Journal of Clinical Medicine. 12(7). 2749–2749. 3 indexed citations
5.
Cousins, James N., et al.. (2021). Hippocampal-Medial Prefrontal Event Segmentation and Integration Contribute to Episodic Memory Formation. Cerebral Cortex. 32(5). 949–969. 16 indexed citations
6.
Wu, Jianhui, et al.. (2021). The relationship between childhood stress and distinct stages of dynamic behavior monitoring in adults: neural and behavioral correlates. Social Cognitive and Affective Neuroscience. 16(9). 937–949. 15 indexed citations
7.
Tuijl, Julia van, Niels P. Riksen, Roy P. C. Kessels, et al.. (2021). Neuroinflammation in cognitive decline post-cardiac surgery (the FOCUS study): an observational study protocol. BMJ Open. 11(5). e044062–e044062. 7 indexed citations
8.
Fernández, Guillén, et al.. (2020). Common neural and transcriptional correlates of inhibitory control underlie emotion regulation and memory control. Social Cognitive and Affective Neuroscience. 15(5). 523–536. 20 indexed citations
9.
Kohn, Nils, et al.. (2020). No evidence for an effect of explicit relevance instruction on consolidation of associative memories. Neuropsychologia. 143. 107491–107491. 10 indexed citations
10.
Müller, N., Martin Dresler, Gabriele Janzen, et al.. (2020). Medial prefrontal decoupling from the default mode network benefits memory. NeuroImage. 210. 116543–116543. 20 indexed citations
11.
Kohn, Nils, et al.. (2020). Probing the neural dynamics of mnemonic representations after the initial consolidation. NeuroImage. 221. 117213–117213. 6 indexed citations
12.
Oort, Jasper van, Nils Kohn, Janna N. Vrijsen, et al.. (2020). Absence of default mode downregulation in response to a mild psychological stressor marks stress-vulnerability across diverse psychiatric disorders. NeuroImage Clinical. 25. 102176–102176. 24 indexed citations
13.
Duan, Hongxia, et al.. (2020). Impact of the COVID-19 pandemic on mental health in the general Chinese population: Changes, predictors and psychosocial correlates. Psychiatry Research. 293. 113396–113396. 76 indexed citations
14.
Wagels, Lisa, et al.. (2019). Autism and Reactions to Provocation in a Social and Non-social Context. Journal of Autism and Developmental Disorders. 50(2). 402–414. 5 indexed citations
15.
Repple, Jonathan, Ute Habel, Lisa Wagels, et al.. (2018). Sex differences in the neural correlates of aggression. Brain Structure and Function. 223(9). 4115–4124. 37 indexed citations
16.
Habel, Ute, Frank Schneider, M. Scheller, et al.. (2016). Gewalt und Gesundheit : Symptome, Folgen und Behandlung betroffener Patientinnen und Patienten. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 59(1). 17–27. 1 indexed citations
18.
Pawliczek, Christina M., Birgit Derntl, Thilo Kellermann, et al.. (2013). Inhibitory control and trait aggression: Neural and behavioral insights using the emotional stop signal task. NeuroImage. 79. 264–274. 106 indexed citations
19.
Regenbogen, Christina, Daniel Schneider, Andreas Finkelmeyer, et al.. (2012). The differential contribution of facial expressions, prosody, and speech content to empathy. Cognition & Emotion. 26(6). 995–1014. 57 indexed citations
20.
Kohn, Nils, Thilo Kellermann, Ruben C. Gur, Frank Schneider, & Ute Habel. (2011). Gender differences in the neural correlates of humor processing: Implications for different processing modes. Neuropsychologia. 49(5). 888–897. 74 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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