Jens Treutlein

22.7k total citations
83 papers, 3.1k citations indexed

About

Jens Treutlein is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Jens Treutlein has authored 83 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 16 papers in Psychiatry and Mental health. Recurrent topics in Jens Treutlein's work include Stress Responses and Cortisol (14 papers), Neurotransmitter Receptor Influence on Behavior (13 papers) and Bipolar Disorder and Treatment (10 papers). Jens Treutlein is often cited by papers focused on Stress Responses and Cortisol (14 papers), Neurotransmitter Receptor Influence on Behavior (13 papers) and Bipolar Disorder and Treatment (10 papers). Jens Treutlein collaborates with scholars based in Germany, United Kingdom and Switzerland. Jens Treutlein's co-authors include Marcella Rietschel, Michaël Wink, Manfred Laucht, Jay B. Walker, Kenneth J. Sytsma, Günter Schumann, Günter Esser, Dorothea Blomeyer, Josef Frank and Martin H. Schmidt and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Jens Treutlein

81 papers receiving 3.1k citations

Peers

Jens Treutlein
Ruth I. Wood United States
Eric W. Fish United States
Christina S. Barr United States
Jens Treutlein
Citations per year, relative to Jens Treutlein Jens Treutlein (= 1×) peers Anna Moles

Countries citing papers authored by Jens Treutlein

Since Specialization
Citations

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

Fields of papers citing papers by Jens Treutlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Treutlein

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Treutlein. A scholar is included among the top collaborators of Jens Treutlein 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 Jens Treutlein. Jens Treutlein 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.
Treutlein, Jens, et al.. (2024). DNAJC13 influences responses of the extended reward system to conditioned stimuli: a genome-wide association study. European Archives of Psychiatry and Clinical Neuroscience. 275(2). 499–510.
2.
Witt, Stephanie H., Josef Frank, Maria Gilles, et al.. (2018). Impact on birth weight of maternal smoking throughout pregnancy mediated by DNA methylation. BMC Genomics. 19(1). 290–290. 40 indexed citations
3.
Bach, Patrick, Sabine Vollstädt‐Klein, Martina Kirsch, et al.. (2017). Association of the alcohol dehydrogenase gene polymorphism rs1789891 with gray matter brain volume, alcohol consumption, alcohol craving and relapse risk. Addiction Biology. 24(1). 110–120. 16 indexed citations
4.
Martin, Jessica, Fabian Streit, Jens Treutlein, et al.. (2017). Expert and self-assessment of lifetime symptoms and diagnosis of major depressive disorder in large-scale genetic studies in the general population. Psychiatric Genetics. 27(5). 187–196. 12 indexed citations
5.
Heilbronner, Urs, Dörthe Malzahn, Jana Strohmaier, et al.. (2015). A common risk variant in CACNA1C supports a sex-dependent effect on longitudinal functioning and functional recovery from episodes of schizophrenia-spectrum but not bipolar disorder. European Neuropsychopharmacology. 25(12). 2262–2270. 11 indexed citations
6.
Wilmsdorff, Martina von, Mathias Zink, Jens Treutlein, et al.. (2012). Gene expression of glutamate transporters SLC1A1, SLC1A3 and SLC1A6 in the cerebellar subregions of elderly schizophrenia patients and effects of antipsychotic treatment. The World Journal of Biological Psychiatry. 14(7). 490–499. 15 indexed citations
7.
8.
Nenadić, Igor, Raka Maitra, Sigrid Scherpiet, et al.. (2012). Glutamate receptor delta 1 (GRID1) genetic variation and brain structure in schizophrenia. Journal of Psychiatric Research. 46(12). 1531–1539. 27 indexed citations
9.
Laucht, Manfred, Jens Treutlein, Dorothea Blomeyer, et al.. (2012). Interactive effects of corticotropin-releasing hormone receptor 1 gene and childhood adversity on depressive symptoms in young adults: Findings from a longitudinal study. European Neuropsychopharmacology. 23(5). 358–367. 37 indexed citations
10.
Nickl‐Jockschat, Thomas, Tony Stöcker, Valentin Markov, et al.. (2011). The impact of a Dysbindin schizophrenia susceptibility variant on fiber tract integrity in healthy individuals: A TBSS-based diffusion tensor imaging study. NeuroImage. 60(2). 847–853. 20 indexed citations
11.
Treutlein, Jens & Marcella Rietschel. (2011). Genome-Wide Association Studies of Alcohol Dependence and Substance Use Disorders. Current Psychiatry Reports. 13(2). 147–155. 55 indexed citations
12.
Nieratschker, Vanessa, Josef Frank, Thomas W. Mühleisen, et al.. (2010). The catechol-O-methyl transferase (COMT) gene and its potential association with schizophrenia: Findings from a large German case-control and family-based sample. Schizophrenia Research. 122(1-3). 24–30. 20 indexed citations
13.
Kircher, Tilo, Axel Krug, Valentin Markov, et al.. (2009). Genetic variation in the schizophrenia‐risk gene neuregulin 1 correlates with brain activation and impaired speech production in a verbal fluency task in healthy individuals. Human Brain Mapping. 30(10). 3406–3416. 46 indexed citations
14.
Laucht, Manfred, Jens Treutlein, Dorothea Blomeyer, et al.. (2009). Interaction between the 5-HTTLPR serotonin transporter polymorphism and environmental adversity for mood and anxiety psychopathology: evidence from a high-risk community sample of young adults. The International Journal of Neuropsychopharmacology. 12(6). 737–737. 94 indexed citations
15.
Laucht, Manfred, Jens Treutlein, Brigitte Schmid, et al.. (2009). Impact of Psychosocial Adversity on Alcohol Intake in Young Adults: Moderation by the LL Genotype of the Serotonin Transporter Polymorphism. Biological Psychiatry. 66(2). 102–109. 62 indexed citations
16.
Schmitt, Andrea, Mathias Zink, Manfred Bauer, et al.. (2009). Gene expression of NMDA receptor subunits in the cerebellum of elderly patients with schizophrenia. European Archives of Psychiatry and Clinical Neuroscience. 260(2). 101–111. 44 indexed citations
18.
Laucht, Manfred, Katja Becker, Josef Frank, et al.. (2008). Genetic Variation in Dopamine Pathways Differentially Associated With Smoking Progression in Adolescence. Journal of the American Academy of Child & Adolescent Psychiatry. 47(6). 673–681. 64 indexed citations
20.
Treutlein, Jens & Michaël Wink. (2002). Molecular phylogeny of cycads inferred from rbcL sequences. Die Naturwissenschaften. 89(5). 221–225. 58 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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