Gabi Koller

847 total citations
31 papers, 559 citations indexed

About

Gabi Koller is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Cognitive Neuroscience. According to data from OpenAlex, Gabi Koller has authored 31 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Pharmacology and 8 papers in Cognitive Neuroscience. Recurrent topics in Gabi Koller's work include Neurotransmitter Receptor Influence on Behavior (10 papers), Substance Abuse Treatment and Outcomes (8 papers) and Cannabis and Cannabinoid Research (5 papers). Gabi Koller is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (10 papers), Substance Abuse Treatment and Outcomes (8 papers) and Cannabis and Cannabinoid Research (5 papers). Gabi Koller collaborates with scholars based in Germany, United Kingdom and Netherlands. Gabi Koller's co-authors include Michael Soyka, Peter Zill, Brigitta Bondy, Ulrich W. Preuss, Victor Hesselbrock, Michael Soyka, Oliver Pogarell, U. W. Preuss, Kirsi Manz and Andreas Schwarzer and has published in prestigious journals such as PLoS ONE, Neuropsychopharmacology and Psychiatry Research.

In The Last Decade

Gabi Koller

27 papers receiving 548 citations

Peers

Gabi Koller

CMN

EPIDE

PHARM

Diana Limoncelli United States

Mark J. Williams United States

Kimber L. Price United States

Ulrich Frischknecht Germany

Begoña Gonzalvo Spain

Michelle Niculescu United States

J Horodnicki Poland

Jessica L. Bar United States

Jennifer E. Learn United States

Linda Doty United States

Diana Limoncelli United States

Gabi Koller

265 ×1.0

CMN

133 ×0.9

65 ×0.6

106 ×1.0

EPIDE

181 ×2.1

PHARM

Citations per year, relative to Gabi Koller Gabi Koller (= 1×) peers Diana Limoncelli

Countries citing papers authored by Gabi Koller

Since Specialization

Citations

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

Fields of papers citing papers by Gabi Koller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabi Koller

This figure shows the co-authorship network connecting the top 25 collaborators of Gabi Koller. A scholar is included among the top collaborators of Gabi Koller 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 Gabi Koller. Gabi Koller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hoch, Eva, et al.. (2025). DAILY – A personalized circadian Zeitgeber therapy as an adjunctive treatment for alcohol use disorder patients: results of a pilot trial. Frontiers in Psychiatry. 16. 1477895–1477895. 4 indexed citations

Soyka, Michael, et al.. (2025). Persisting high rates of mental health disorders in patients in opioid agonist treatment—Results from a 6‐year longitudinal study. American Journal on Addictions. 35(1). 90–93.

Schüle, Cornelius, Gabi Koller, & Uwe Herwig. (2024). Ketamin und Esketamin. Nervenheilkunde. 43(6). 366–373. 1 indexed citations

Karch, Susanne, Marco Paolini, Paul Reidler, et al.. (2024). Neurofeedback for alcohol addiction: Changes in resting state network activity✰. Psychiatry Research Neuroimaging. 339. 111786–111786. 2 indexed citations

Krämer, Johannes, Gabi Koller, & Oliver Pogarell. (2024). Cannabinoids and the heart—a psychiatrist’s perspective. Herz. 49(6). 428–433.

Krause, Daniela, Susanne Karch, Daniel Keeser, et al.. (2022). Binding potential changes of SERT in patients with depression are associated with remission: A prospective [¹²³I]β-CIT-SPECT study.. Experimental and Clinical Psychopharmacology. 31(1). 219–227. 4 indexed citations

Kumpf, Ulrike, et al.. (2022). Gamma Transcranial Alternating Current Stimulation Improves Craving and Cognition in Patients with Alcohol Use Disorder: An Open Label Pilot Study. International Neuropsychiatric Disease Journal. 37–50.

Adorjan, Kristina, Joseph Kambeitz, Lana Kambeitz‐Ilankovic, et al.. (2020). A machine learning approach to risk assessment for alcohol withdrawal syndrome. European Neuropsychopharmacology. 35. 61–70. 4 indexed citations

Krause, Daniela, et al.. (2019). Methamphetamine withdrawal and the restoration of cognitive functions – a study over a course of 6 months abstinence. Psychiatry Research. 281. 112599–112599. 22 indexed citations

10.

Manz, Kirsi, et al.. (2019). Associations between methamphetamine use, psychiatric comorbidities and treatment outcome in two inpatient rehabilitation centers. Psychiatry Research. 280. 112505–112505. 19 indexed citations

11.

Manz, Kirsi, et al.. (2019). Effectiveness of methamphetamine abuse treatment: Predictors of treatment completion and comparison of two residential treatment programs. Drug and Alcohol Dependence. 201. 8–15. 17 indexed citations

12.

Manz, Kirsi, Daniela Krause, Kristina Adorjan, et al.. (2019). Effects of stimulant drug use on the dopaminergic system: A systematic review and meta-analysis of in vivo neuroimaging studies. European Psychiatry. 59. 15–24. 37 indexed citations

13.

Karch, Susanne, Daniel Keeser, Marco Paolini, et al.. (2015). Modulation of Craving Related Brain Responses Using Real-Time fMRI in Patients with Alcohol Use Disorder. PLoS ONE. 10(7). e0133034–e0133034. 67 indexed citations

14.

Koller, Gabi, et al.. (2015). Alcohol-Dependent Subjects Show Different Personality Traits Compared With Subjects With Multiple Substance Dependence. Journal of Addiction Medicine. 9(4). 257–260. 7 indexed citations

15.

Koller, Gabi, et al.. (2008). Low level of harm avoidance is associated with serotonin transporter functional haplotype in alcohol-dependent individuals. Psychiatric Genetics. 18(2). 59–63. 10 indexed citations

16.

Soyka, Michael, Ulrich W. Preuss, Victor Hesselbrock, et al.. (2007). GABA-A2 receptor subunit gene (GABRA2) polymorphisms and risk for alcohol dependence. Journal of Psychiatric Research. 42(3). 184–191. 119 indexed citations

17.

Koller, Gabi, et al.. (2006). The C(-1019)G 5-HT1A promoter polymorphism and personality traits: no evidence for significant association in alcoholic patients. Behavioral and Brain Functions. 2(1). 7–7. 32 indexed citations

18.

Rujescu, Dan, Michael Soyka, Norbert Dahmen, et al.. (2005). GRIN1 locus may modify the susceptibility to seizures during alcohol withdrawal. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 133B(1). 85–87. 20 indexed citations

19.

Koller, Gabi, et al.. (2003). Effects of Scopolamine on Matching to Sample Paradigm and Related Tests in Human Subjects. Neuropsychobiology. 48(2). 87–94. 31 indexed citations

20.

Preuss, U. W., Gabi Koller, Peter Zill, Brigitta Bondy, & Michael Soyka. (2003). Alcoholism-related phenotypes and genetic variants of the CB1 receptor. European Archives of Psychiatry and Clinical Neuroscience. 253(6). 275–280. 33 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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