Charles D. Nichols

6.8k total citations · 2 hit papers
85 papers, 4.9k citations indexed

About

Charles D. Nichols is a scholar working on Cellular and Molecular Neuroscience, Clinical Psychology and Molecular Biology. According to data from OpenAlex, Charles D. Nichols has authored 85 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cellular and Molecular Neuroscience, 39 papers in Clinical Psychology and 24 papers in Molecular Biology. Recurrent topics in Charles D. Nichols's work include Psychedelics and Drug Studies (39 papers), Neurotransmitter Receptor Influence on Behavior (31 papers) and Chemical synthesis and alkaloids (18 papers). Charles D. Nichols is often cited by papers focused on Psychedelics and Drug Studies (39 papers), Neurotransmitter Receptor Influence on Behavior (31 papers) and Chemical synthesis and alkaloids (18 papers). Charles D. Nichols collaborates with scholars based in United States, Sweden and Denmark. Charles D. Nichols's co-authors include Udai Bhan Pandey, David E. Nichols, Jaime Becnel, Thomas W. Flanagan, David Martin, Bangning Yu, Elaine Sanders‐Bush, James J. Becnel, Oscar W. Johnson and Meghan Hibicke and has published in prestigious journals such as Chemical Reviews, PLoS ONE and Scientific Reports.

In The Last Decade

Charles D. Nichols

78 papers receiving 4.8k citations

Hit Papers

Human Disease Models in Drosophila melanogaster and the R... 2008 2026 2014 2020 2011 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles D. Nichols United States 36 2.3k 1.6k 1.5k 949 467 85 4.9k
Michael J. Forster United States 46 1.5k 0.6× 517 0.3× 3.0k 1.9× 354 0.4× 219 0.5× 155 6.9k
Javier González‐Maeso United States 37 3.5k 1.5× 1.8k 1.1× 2.5k 1.6× 817 0.9× 717 1.5× 101 5.6k
Hyman B. Niznik Canada 47 7.3k 3.1× 336 0.2× 5.5k 3.6× 231 0.2× 280 0.6× 103 11.0k
Jianhong Luo China 43 2.8k 1.2× 311 0.2× 2.9k 1.9× 173 0.2× 161 0.3× 140 6.1k
Eric Grouzmann Switzerland 42 2.5k 1.0× 741 0.5× 1.5k 1.0× 193 0.2× 72 0.2× 168 5.5k
Gregory M. Miller United States 37 2.1k 0.9× 331 0.2× 2.0k 1.3× 168 0.2× 210 0.4× 97 4.8k
Mark S. Sonders United States 24 3.2k 1.4× 218 0.1× 2.5k 1.6× 174 0.2× 175 0.4× 32 5.3k
Josée E. Leysen Belgium 45 3.7k 1.6× 168 0.1× 3.4k 2.2× 416 0.4× 155 0.3× 127 6.4k
Barbara J. Caldarone United States 34 1.2k 0.5× 196 0.1× 1.9k 1.2× 247 0.3× 326 0.7× 67 4.0k
Paul R. Albert Canada 51 4.5k 1.9× 377 0.2× 5.0k 3.2× 139 0.1× 784 1.7× 136 8.9k

Countries citing papers authored by Charles D. Nichols

Since Specialization
Citations

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

Fields of papers citing papers by Charles D. Nichols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles D. Nichols. 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 Charles D. Nichols. The network helps show where Charles D. Nichols may publish in the future.

Co-authorship network of co-authors of Charles D. Nichols

This figure shows the co-authorship network connecting the top 25 collaborators of Charles D. Nichols. A scholar is included among the top collaborators of Charles D. Nichols 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 Charles D. Nichols. Charles D. Nichols 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.
Cummins, Benjamin, et al.. (2025). 5-HT2A receptors: Pharmacology and functional selectivity. Pharmacological Reviews. 77(4). 100059–100059. 2 indexed citations
2.
Nichols, Charles D. & Timothy P. Foster. (2025). Serotonin, immune function, and psychedelics as potent anti-inflammatories. International review of neurobiology. 181. 45–76. 1 indexed citations
3.
Nichols, David E. & Charles D. Nichols. (2025). History of psychedelic drug science and molecular pharmacology. International review of neurobiology. 181. 3–43.
4.
Hibicke, Meghan, et al.. (2024). Preadministration of Lorazepam Reduces Efficacy and Longevity of Antidepressant-Like Effect from a Psychedelic. PubMed. 2(1). 10–14. 1 indexed citations
6.
Aday, Jacob S., Brian S. Barnett, Dan Grossman, et al.. (2023). Psychedelic Commercialization: A Wide-Spanning Overview of the Emerging Psychedelic Industry. PubMed. 1(3). 150–165. 28 indexed citations
7.
Albrechet‐Souza, Lucas, Rajani Maiya, Aspasia Destouni, et al.. (2023). Conditioned place avoidance is associated with a distinct hippocampal phenotype, partly preserved pattern separation, and reduced reactive oxygen species production after stress. Genes Brain & Behavior. 22(2). e12840–e12840. 4 indexed citations
8.
Wulff, Andreas B., Charles D. Nichols, & Scott M. Thompson. (2023). Preclinical perspectives on the mechanisms underlying the therapeutic actions of psilocybin in psychiatric disorders. Neuropharmacology. 231. 109504–109504. 19 indexed citations
9.
Hendricks, Peter S., Charles D. Nichols, Kathryn A. Cunningham, et al.. (2022). Past, Present, and Future of Psychedelics: A Psychedelic Medicine Roundtable Discussion. PubMed. 1(1). 2–11. 1 indexed citations
11.
Nichols, Charles D.. (2022). Psychedelics as potent anti-inflammatory therapeutics. Neuropharmacology. 219. 109232–109232. 16 indexed citations
12.
Henningfield, Jack E., Marion A. Coe, Roland R. Griffiths, et al.. (2022). Psychedelic drug abuse potential assessment research for new drug applications and Controlled Substances Act scheduling. Neuropharmacology. 218. 109220–109220. 25 indexed citations
13.
Flanagan, Thomas W. & Charles D. Nichols. (2018). Psychedelics as anti-inflammatory agents. International Review of Psychiatry. 30(4). 363–375. 167 indexed citations
14.
Martin, David & Charles D. Nichols. (2017). The Effects of Hallucinogens on Gene Expression. Current topics in behavioral neurosciences. 36. 137–158. 41 indexed citations
15.
Martin, David & Charles D. Nichols. (2016). Psychedelics Recruit Multiple Cellular Types and Produce Complex Transcriptional Responses Within the Brain. EBioMedicine. 11. 262–277. 66 indexed citations
16.
Martin, David, Danuta Marona‐Lewicka, David E. Nichols, & Charles D. Nichols. (2014). Chronic LSD alters gene expression profiles in the mPFC relevant to schizophrenia. Neuropharmacology. 83. 1–8. 45 indexed citations
17.
Nichols, Charles D., Jaime Becnel, & Udai Bhan Pandey. (2012). Methods to Assay <em>Drosophila</em> Behavior. Journal of Visualized Experiments. 12 indexed citations
18.
Johnson, Oscar W., James J. Becnel, & Charles D. Nichols. (2011). Serotonin receptor activity is necessary for olfactory learning and memory in Drosophila melanogaster. Neuroscience. 192. 372–381. 54 indexed citations
19.
Becnel, Jaime, et al.. (2011). The Serotonin 5-HT7Dro Receptor Is Expressed in the Brain of Drosophila, and Is Essential for Normal Courtship and Mating. PLoS ONE. 6(6). e20800–e20800. 88 indexed citations
20.
Nichols, Charles D., et al.. (2003). Dynamic changes in prefrontal cortex gene expression following lysergic acid diethylamide administration. Molecular Brain Research. 111(1-2). 182–188. 71 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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