Milan Scheidegger

2.7k total citations
52 papers, 1.9k citations indexed

About

Milan Scheidegger is a scholar working on Clinical Psychology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Milan Scheidegger has authored 52 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Clinical Psychology, 17 papers in Cellular and Molecular Neuroscience and 16 papers in Cognitive Neuroscience. Recurrent topics in Milan Scheidegger's work include Psychedelics and Drug Studies (25 papers), Functional Brain Connectivity Studies (14 papers) and Neurotransmitter Receptor Influence on Behavior (13 papers). Milan Scheidegger is often cited by papers focused on Psychedelics and Drug Studies (25 papers), Functional Brain Connectivity Studies (14 papers) and Neurotransmitter Receptor Influence on Behavior (13 papers). Milan Scheidegger collaborates with scholars based in Switzerland, Germany and United States. Milan Scheidegger's co-authors include Erich Seifritz, Franz X. Vollenweider, A Henning, Michael Kometer, Lukasz Smigielski, Katrin H. Preller, Simone Grimm, Rainer Kraehenmann, Thomas Pokorny and Oliver G. Bosch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Milan Scheidegger

48 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Scheidegger Switzerland 23 996 666 623 504 455 52 1.9k
Erich Studerus Switzerland 27 1.5k 1.5× 783 1.2× 650 1.0× 611 1.2× 229 0.5× 76 2.9k
Matthew M. Nour United Kingdom 20 868 0.9× 667 1.0× 633 1.0× 385 0.8× 142 0.3× 57 2.2k
Laurence Reed United Kingdom 22 820 0.8× 842 1.3× 905 1.5× 302 0.6× 306 0.7× 42 3.0k
Claire Wilcox United States 17 972 1.0× 637 1.0× 549 0.9× 505 1.0× 159 0.3× 40 1.9k
Patrick M. Fisher Denmark 34 1.6k 1.6× 1.4k 2.1× 1.3k 2.0× 616 1.2× 422 0.9× 135 4.1k
Euphrosyne Gouzoulis‐Mayfrank Germany 37 1.6k 1.6× 1.6k 2.5× 768 1.2× 295 0.6× 1.1k 2.5× 138 3.6k
Karsten Heekeren Switzerland 26 703 0.7× 559 0.8× 733 1.2× 122 0.2× 183 0.4× 60 2.1k
Ede Frecska Hungary 20 724 0.7× 539 0.8× 265 0.4× 225 0.4× 228 0.5× 80 1.8k
Tomáš Páleníček Czechia 25 1.0k 1.0× 1.2k 1.8× 299 0.5× 446 0.9× 600 1.3× 84 2.4k
Rafael Faria Sanches Brazil 15 1.2k 1.2× 556 0.8× 132 0.2× 403 0.8× 496 1.1× 25 1.7k

Countries citing papers authored by Milan Scheidegger

Since Specialization
Citations

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

Fields of papers citing papers by Milan Scheidegger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Scheidegger

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Scheidegger. A scholar is included among the top collaborators of Milan Scheidegger 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 Milan Scheidegger. Milan Scheidegger 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
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Aicher, Helena, Philippe Müller, Maxim Puchkov, et al.. (2025). Examining the pharmacokinetic and pharmacodynamic interaction of N,N-dimethyltryptamine and harmine in healthy volunteers: Α factorial dose-escalation study. Biomedicine & Pharmacotherapy. 184. 117908–117908. 3 indexed citations
3.
Äbelö, Angela, et al.. (2025). Population pharmacokinetic-pharmacodynamic modeling of co-administered N,N-dimethyltryptamine and harmine in healthy subjects. Biomedicine & Pharmacotherapy. 189. 118329–118329.
4.
Aicher, Helena, Michael J. Mueller, Dario Dornbierer, et al.. (2024). Potential therapeutic effects of an ayahuasca-inspired N,N-DMT and harmine formulation: a controlled trial in healthy subjects. Frontiers in Psychiatry. 14. 1302559–1302559. 18 indexed citations
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Aicher, Helena, et al.. (2024). Meditating on psychedelics. A randomized placebo-controlled study of DMT and harmine in a mindfulness retreat. Journal of Psychopharmacology. 38(10). 897–910. 4 indexed citations
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Scheidegger, Milan, et al.. (2023). Not in the drug, not in the brain: Causality in psychedelic experiences from an enactive perspective. Frontiers in Psychology. 14. 1100058–1100058. 9 indexed citations
10.
Dornbierer, Dario, Helena Aicher, Michael J. Mueller, et al.. (2023). Overcoming the clinical challenges of traditional ayahuasca: a first-in-human trial exploring novel routes of administration of N,N-Dimethyltryptamine and harmine. Frontiers in Pharmacology. 14. 1246892–1246892. 15 indexed citations
11.
Baun, Christina, Vladimir Shalgunov, Matthias M. Herth, et al.. (2023). A pilot study of cerebral metabolism and serotonin 5-HT2A receptor occupancy in rats treated with the psychedelic tryptamine DMT in conjunction with the MAO inhibitor harmine. Frontiers in Pharmacology. 14. 1140656–1140656. 8 indexed citations
12.
Gärtner, Matti, Mischa de Rover, Lena Václavů, et al.. (2022). Increase in thalamic cerebral blood flow is associated with antidepressant effects of ketamine in major depressive disorder. The World Journal of Biological Psychiatry. 23(8). 643–652. 8 indexed citations
13.
Langlitz, Nicolas, Erika Dyck, Milan Scheidegger, & Dimitris Repantis. (2021). Moral Psychopharmacology Needs Moral Inquiry: The Case of Psychedelics. Frontiers in Psychiatry. 12. 680064–680064. 24 indexed citations
14.
Zoelch, Niklaus, Andreas Hock, Carlos Nordt, et al.. (2020). Impaired glutamate homeostasis in the nucleus accumbens in human cocaine addiction. Molecular Psychiatry. 26(9). 5277–5285. 39 indexed citations
15.
Smigielski, Lukasz, et al.. (2019). Characterization and prediction of acute and sustained response to psychedelic psilocybin in a mindfulness group retreat. Scientific Reports. 9(1). 14914–14914. 114 indexed citations
16.
Smigielski, Lukasz, Milan Scheidegger, Michael Kometer, & Franz X. Vollenweider. (2019). Psilocybin-assisted mindfulness training modulates self-consciousness and brain default mode network connectivity with lasting effects. NeuroImage. 196. 207–215. 171 indexed citations
17.
Gärtner, Matti, Milan Scheidegger, Yan Fan, et al.. (2018). Aberrant working memory processing in major depression: evidence from multivoxel pattern classification. Neuropsychopharmacology. 43(9). 1972–1979. 32 indexed citations
18.
Bosch, Oliver G., Katrin H. Preller, Robin von Rotz, et al.. (2017). Neural underpinnings of prosexual effects induced by gamma-hydroxybutyrate in healthy male humans. European Neuropsychopharmacology. 27(4). 372–382. 16 indexed citations
19.
Kraehenmann, Rainer, Katrin H. Preller, Milan Scheidegger, et al.. (2014). Psilocybin-Induced Decrease in Amygdala Reactivity Correlates with Enhanced Positive Mood in Healthy Volunteers. Biological Psychiatry. 78(8). 572–581. 238 indexed citations
20.
Bosch, Oliver G., Julia S. Rihm, Milan Scheidegger, et al.. (2013). Sleep deprivation increases dorsal nexus connectivity to the dorsolateral prefrontal cortex in humans. Proceedings of the National Academy of Sciences. 110(48). 19597–19602. 77 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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