Harriet de Wit

41.3k total citations · 8 hit papers
427 papers, 28.4k citations indexed

About

Harriet de Wit is a scholar working on Cellular and Molecular Neuroscience, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Harriet de Wit has authored 427 papers receiving a total of 28.4k indexed citations (citations by other indexed papers that have themselves been cited), including 224 papers in Cellular and Molecular Neuroscience, 106 papers in Clinical Psychology and 103 papers in Cognitive Neuroscience. Recurrent topics in Harriet de Wit's work include Neurotransmitter Receptor Influence on Behavior (206 papers), Cannabis and Cannabinoid Research (64 papers) and Substance Abuse Treatment and Outcomes (55 papers). Harriet de Wit is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (206 papers), Cannabis and Cannabinoid Research (64 papers) and Substance Abuse Treatment and Outcomes (55 papers). Harriet de Wit collaborates with scholars based in United States, Canada and Netherlands. Harriet de Wit's co-authors include Jane Stewart, Jerry B. Richards, Emma Childs, Roelof Eikelboom, Roy A. Wise, Suzanne H. Mitchell, Jessica Weafer, Yavin Shaham, Abraham A. Palmer and Andrea C. King and has published in prestigious journals such as Science, Journal of Neuroscience and Blood.

In The Last Decade

Harriet de Wit

418 papers receiving 27.5k citations

Hit Papers

The reinstatement model o... 1978 2026 1994 2010 2002 2008 1984 1984 1981 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Harriet de Wit 12.9k 7.5k 5.9k 4.4k 4.3k 427 28.4k
Rajita Sinha 7.1k 0.5× 6.1k 0.8× 7.5k 1.3× 1.7k 0.4× 4.3k 1.0× 349 26.5k
Andreas Heinz 9.3k 0.7× 13.4k 1.8× 7.6k 1.3× 2.4k 0.6× 6.0k 1.4× 907 36.3k
Charles P. O’Brien 9.3k 0.7× 4.3k 0.6× 3.9k 0.7× 3.3k 0.7× 2.4k 0.5× 353 24.5k
Marc A. Schuckit 7.7k 0.6× 3.7k 0.5× 6.1k 1.0× 2.4k 0.6× 3.5k 0.8× 500 28.7k
Gene‐Jack Wang 11.2k 0.9× 9.6k 1.3× 4.8k 0.8× 2.4k 0.6× 2.6k 0.6× 304 28.1k
Warren K. Bickel 4.9k 0.4× 5.9k 0.8× 5.6k 1.0× 2.0k 0.5× 6.6k 1.5× 501 30.2k
Edythe D. London 11.1k 0.9× 7.7k 1.0× 2.2k 0.4× 2.1k 0.5× 2.6k 0.6× 427 26.0k
Kerry J. Ressler 9.7k 0.8× 8.4k 1.1× 9.5k 1.6× 1.9k 0.4× 2.8k 0.6× 444 35.0k
Wim van den Brink 5.6k 0.4× 4.6k 0.6× 9.2k 1.6× 4.8k 1.1× 2.6k 0.6× 586 25.9k
Thomas R. Kosten 7.3k 0.6× 2.6k 0.3× 4.3k 0.7× 3.9k 0.9× 1.7k 0.4× 567 22.9k

Countries citing papers authored by Harriet de Wit

Since Specialization
Citations

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

Fields of papers citing papers by Harriet de Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harriet de Wit. 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 Harriet de Wit. The network helps show where Harriet de Wit may publish in the future.

Co-authorship network of co-authors of Harriet de Wit

This figure shows the co-authorship network connecting the top 25 collaborators of Harriet de Wit. A scholar is included among the top collaborators of Harriet de Wit 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 Harriet de Wit. Harriet de Wit 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.
O’Neill, Terence W, et al.. (2024). Alcohol increases social engagement in dyadic interactions: role of partner’s drug state. Psychopharmacology. 242(3). 629–640. 1 indexed citations
4.
Bershad, Anya K., David T. Hsu, & Harriet de Wit. (2024). MDMA enhances positive affective responses to social feedback. Journal of Psychopharmacology. 38(3). 297–304. 4 indexed citations
5.
Glazer, James E., et al.. (2024). Low-Dose LSD Alters Early and Late Event-Related Potentials to Emotional Faces. PubMed. 2(4). 210–220. 1 indexed citations
6.
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
7.
Nurmi, Erika L., Harriet de Wit, Abraham A. Palmer, et al.. (2023). Polygenic contributions to performance on the Balloon Analogue Risk Task. Molecular Psychiatry. 28(8). 3524–3530. 4 indexed citations
8.
Krishnan, Seetha, Rick A. Bevins, & Harriet de Wit. (2023). Place conditioning in humans: opportunities for translational research. Psychopharmacology. 240(11). 2221–2230. 5 indexed citations
9.
Bershad, Anya K. & Harriet de Wit. (2023). Social Psychopharmacology: Novel Approaches to Treat Deficits in Social Motivation in Schizophrenia. Schizophrenia Bulletin. 49(5). 1161–1173. 3 indexed citations
10.
Wit, Harriet de, et al.. (2022). Effects of Oral Delta-9-Tetrahydrocannabinol in Women During the Follicular Phase of the Menstrual Cycle. Cannabis and Cannabinoid Research. 8(6). 1117–1125. 3 indexed citations
11.
Crane, Natania A., Stephanie M. Gorka, Jessica Weafer, et al.. (2020). Striatal activation to monetary reward is associated with alcohol reward sensitivity. Neuropsychopharmacology. 46(2). 343–350. 21 indexed citations
12.
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
13.
Meyre, David, et al.. (2019). Association between impulsivity traits and body mass index at the observational and genetic epidemiology level. Scientific Reports. 9(1). 17583–17583. 9 indexed citations
14.
Bidwell, L. Cinnamon, Joshua C. Gray, Jessica Weafer, et al.. (2017). Genetic influences on ADHD symptom dimensions: Examination of a priori candidates, gene‐based tests, genome‐wide variation, and SNP heritability. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 174(4). 458–466. 20 indexed citations
15.
Poletti, Sara, Veronica Aggio, Oliver Ambrée, et al.. (2016). Brain-Derived Neurotrophic Factor (Bdnf) and Gray Matter Volume in Bipolar Disorder. European Psychiatry. 40. 33–37. 20 indexed citations
16.
Temple, Jennifer L., Amanda M. Ziegler, Catherine Martin, & Harriet de Wit. (2015). Subjective Responses to Caffeine Are Influenced by Caffeine Dose, Sex, and Pubertal Stage. PubMed. 5(4). 167–175. 20 indexed citations
17.
Weafer, Jessica, Matthew J. Baggott, & Harriet de Wit. (2013). Test–retest reliability of behavioral measures of impulsive choice, impulsive action, and inattention.. Experimental and Clinical Psychopharmacology. 21(6). 475–481. 175 indexed citations
18.
Wit, Harriet de, et al.. (2004). Transcutaneous bilirubinometry with the Bilicheck® in very premature newborns. The Journal of Maternal-Fetal & Neonatal Medicine. 16(4). 209–214. 40 indexed citations
19.
Söderpalm, Anna H. V. & Harriet de Wit. (2002). Effects of Stress and Alcohol on Subjective State in Humans. Alcoholism Clinical and Experimental Research. 26(6). 818–826. 10 indexed citations
20.
Stewart, Jane, Harriet de Wit, & Roelof Eikelboom. (1984). Role of unconditioned and conditioned drug effects in the self-administration of opiates and stimulants.. Psychological Review. 91(2). 251–268. 827 indexed citations breakdown →

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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