Manoj K. Doss

1.8k total citations · 1 hit paper
29 papers, 1.1k citations indexed

About

Manoj K. Doss is a scholar working on Clinical Psychology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Manoj K. Doss has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Clinical Psychology, 13 papers in Cognitive Neuroscience and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Manoj K. Doss's work include Psychedelics and Drug Studies (18 papers), Memory and Neural Mechanisms (10 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Manoj K. Doss is often cited by papers focused on Psychedelics and Drug Studies (18 papers), Memory and Neural Mechanisms (10 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Manoj K. Doss collaborates with scholars based in United States, Netherlands and Australia. Manoj K. Doss's co-authors include Roland R. Griffiths, Frederick S. Barrett, Nathan D. Sepeda, James J. Pekar, David A. Gallo, Harriet de Wit, Charan Ranganath, Maureen Ritchey, Shao-Fang Wang and Matthias J. Gruber and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Psychological Review.

In The Last Decade

Manoj K. Doss

27 papers receiving 1.1k citations

Hit Papers

Psilocybin therapy increases cognitive and neural flexibi... 2021 2026 2022 2024 2021 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
Manoj K. Doss United States 15 783 545 402 271 120 29 1.1k
Lysia Demetriou United Kingdom 13 627 0.8× 438 0.8× 368 0.9× 148 0.5× 78 0.7× 20 961
Ben Sessa United Kingdom 17 918 1.2× 466 0.9× 369 0.9× 143 0.5× 160 1.3× 31 1.1k
Theo Huber Switzerland 8 821 1.0× 558 1.0× 257 0.6× 293 1.1× 98 0.8× 8 1.3k
Rainer Kraehenmann Switzerland 16 1.2k 1.5× 753 1.4× 591 1.5× 201 0.7× 273 2.3× 26 1.5k
Fernanda Palhano-Fontes Brazil 18 1.1k 1.3× 533 1.0× 400 1.0× 216 0.8× 336 2.8× 33 1.4k
Thomas Pokorny Switzerland 13 1.3k 1.7× 811 1.5× 676 1.7× 126 0.5× 297 2.5× 20 1.4k
Richard E. Daws United Kingdom 9 519 0.7× 285 0.5× 295 0.7× 134 0.5× 69 0.6× 17 739
Jacob S. Aday United States 15 877 1.1× 328 0.6× 541 1.3× 76 0.3× 121 1.0× 37 988
Patrick Vizeli Switzerland 20 1.1k 1.4× 633 1.2× 531 1.3× 70 0.3× 166 1.4× 33 1.2k
Allison A. Feduccia United States 13 1.1k 1.3× 435 0.8× 387 1.0× 115 0.4× 56 0.5× 16 1.2k

Countries citing papers authored by Manoj K. Doss

Since Specialization
Citations

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

Fields of papers citing papers by Manoj K. Doss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manoj K. Doss. 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 Manoj K. Doss. The network helps show where Manoj K. Doss may publish in the future.

Co-authorship network of co-authors of Manoj K. Doss

This figure shows the co-authorship network connecting the top 25 collaborators of Manoj K. Doss. A scholar is included among the top collaborators of Manoj K. Doss 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 Manoj K. Doss. Manoj K. Doss 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
3.
Doss, Manoj K., et al.. (2024). An Integrated theory of false insights and beliefs under psychedelics. SHILAP Revista de lepidopterología. 2(1). 69–69. 21 indexed citations
4.
Doss, Manoj K., et al.. (2024). Psilocybin and 2C-B at Encoding Distort Episodic Familiarity. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 9(10). 1048–1057. 7 indexed citations
5.
Doss, Manoj K., et al.. (2024). How Psychedelics Modulate Multiple Memory Mechanisms in Posttraumatic Stress Disorder. Drugs. 84(11). 1419–1443. 4 indexed citations
6.
Doss, Manoj K., et al.. (2024). The mechanistic divide in psychedelic neuroscience: An unbridgeable gap?. Neurotherapeutics. 21(2). e00322–e00322. 9 indexed citations
7.
Doss, Manoj K., Harriet de Wit, & David A. Gallo. (2023). The acute effects of psychoactive drugs on emotional episodic memory encoding, consolidation, and retrieval: A comprehensive review. Neuroscience & Biobehavioral Reviews. 150. 105188–105188. 16 indexed citations
8.
Doss, Manoj K., et al.. (2023). Learned Helplessness As a Potential Transdiagnostic Therapeutic Mechanism of Classic Psychedelics. PubMed. 1(2). 74–86. 5 indexed citations
9.
Doss, Manoj K., Jason Samaha, Frederick S. Barrett, et al.. (2023). Unique effects of sedatives, dissociatives, psychedelics, stimulants, and cannabinoids on episodic memory: A review and reanalysis of acute drug effects on recollection, familiarity, and metamemory.. Psychological Review. 131(2). 523–562. 15 indexed citations
10.
Doss, Manoj K., et al.. (2021). Models of psychedelic drug action: modulation of cortical-subcortical circuits. Brain. 145(2). 441–456. 100 indexed citations
12.
Doss, Manoj K., Michal Považan, Monica D. Rosenberg, et al.. (2021). Psilocybin therapy increases cognitive and neural flexibility in patients with major depressive disorder. Translational Psychiatry. 11(1). 574–574. 206 indexed citations breakdown →
13.
Knudsen, Gitte M., Frederick S. Barrett, Manoj K. Doss, et al.. (2021). Psychedelic resting-state neuroimaging: a review and perspective on balancing replication and novel analyses. Zurich Open Repository and Archive (University of Zurich). 10 indexed citations
14.
Adam, Kirsten, et al.. (2020). Δ9-Tetrahydrocannabinol (THC) impairs visual working memory performance: a randomized crossover trial. Neuropsychopharmacology. 45(11). 1807–1816. 26 indexed citations
15.
Doss, Manoj K., Matthew W. Johnson, John Clifton, et al.. (2020). The Acute Effects of the Atypical Dissociative Hallucinogen Salvinorin A on Functional Connectivity in the Human Brain. Scientific Reports. 10(1). 16392–16392. 29 indexed citations
16.
Barrett, Frederick S., Manoj K. Doss, Nathan D. Sepeda, James J. Pekar, & Roland R. Griffiths. (2020). Emotions and brain function are altered up to one month after a single high dose of psilocybin. Scientific Reports. 10(1). 2214–2214. 249 indexed citations
17.
Doss, Manoj K., Jessica Weafer, David A. Gallo, & Harriet de Wit. (2019). Δ9-Tetrahydrocannabinol During Encoding Impairs Perceptual Details yet Spares Context Effects on Episodic Memory. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(1). 110–118. 9 indexed citations
18.
Doss, Manoj K., Jessica Weafer, David A. Gallo, & Harriet de Wit. (2018). Δ9-Tetrahydrocannabinol at Retrieval Drives False Recollection of Neutral and Emotional Memories. Biological Psychiatry. 84(10). 743–750. 26 indexed citations
19.
Doss, Manoj K., et al.. (2016). Two mechanisms of constructive recollection: Perceptual recombination and conceptual fluency.. Journal of Experimental Psychology Learning Memory and Cognition. 42(11). 1747–1758. 20 indexed citations
20.
Gruber, Matthias J., Maureen Ritchey, Shao-Fang Wang, Manoj K. Doss, & Charan Ranganath. (2016). Post-learning Hippocampal Dynamics Promote Preferential Retention of Rewarding Events. Neuron. 89(5). 1110–1120. 131 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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