J. Deckert

1.8k total citations
18 papers, 982 citations indexed

About

J. Deckert is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, J. Deckert has authored 18 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 4 papers in Psychiatry and Mental health. Recurrent topics in J. Deckert's work include Neurotransmitter Receptor Influence on Behavior (4 papers), Bipolar Disorder and Treatment (3 papers) and Functional Brain Connectivity Studies (3 papers). J. Deckert is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (4 papers), Bipolar Disorder and Treatment (3 papers) and Functional Brain Connectivity Studies (3 papers). J. Deckert collaborates with scholars based in Germany, Australia and United States. J. Deckert's co-authors include Katharina Domschke, Klaus‐Peter Lesch, Daniela Di Bella, Yana V. Syagailo, J. Fritze, Laura Bellodi, W. Maier, Marco Catalano, Petra Franke and H. Beckmann and has published in prestigious journals such as Biological Psychiatry, Human Molecular Genetics and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

J. Deckert

18 papers receiving 964 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Deckert Germany 10 363 282 253 234 206 18 982
Subi Tharmalingam Canada 15 351 1.0× 201 0.7× 433 1.7× 249 1.1× 97 0.5× 17 974
Yuji Kitaichi Japan 19 421 1.2× 267 0.9× 198 0.8× 198 0.8× 127 0.6× 46 1.2k
Li Hui China 19 203 0.6× 300 1.1× 189 0.7× 460 2.0× 148 0.7× 86 1.2k
Julie Taubman United States 8 655 1.8× 294 1.0× 466 1.8× 312 1.3× 186 0.9× 10 1.5k
Svenja Schulze‐Rauschenbach Germany 19 159 0.4× 276 1.0× 337 1.3× 257 1.1× 163 0.8× 24 898
Jonas Melke Sweden 20 203 0.6× 280 1.0× 207 0.8× 170 0.7× 116 0.6× 29 987
Claudia R. Harris United States 11 286 0.8× 311 1.1× 126 0.5× 110 0.5× 114 0.6× 12 790
Emma J. Rose United States 21 257 0.7× 760 2.7× 209 0.8× 447 1.9× 354 1.7× 48 1.5k
Marie‐Chantal Bourdel France 20 228 0.6× 314 1.1× 310 1.2× 556 2.4× 116 0.6× 33 1.2k
Eitan Gur Israel 23 375 1.0× 122 0.4× 395 1.6× 300 1.3× 59 0.3× 71 1.2k

Countries citing papers authored by J. Deckert

Since Specialization
Citations

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

Fields of papers citing papers by J. Deckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Deckert

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

All Works

18 of 18 papers shown
1.
Kopf, Juliane, et al.. (2019). Influence of two functional polymorphisms in NOS1 on baseline cortisol and working memory in healthy subjects. Nitric Oxide. 88. 45–49. 2 indexed citations
2.
Adhikari, Bhim M., J. Deckert, Joerg F. Hipp, et al.. (2019). T150. Evaluating the Effects of Ketamine and Midazolam Using Enigma Resting State fMRI Pipeline. Biological Psychiatry. 85(10). S187–S187. 1 indexed citations
3.
Veeh, Julia, Juliane Kopf, Sarah Kittel‐Schneider, J. Deckert, & Andreas Reif. (2017). Cognitive remediation for bipolar patients with objective cognitive impairment: a naturalistic study. International Journal of Bipolar Disorders. 5(1). 8–8. 30 indexed citations
4.
Schartner, Christoph, Christiane Ziegler, Miriam A. Schiele, et al.. (2016). Hypomethylation of corticotropin releasing hormone receptor 1 promoter region: Converging evidence for a role in panic disorder. European Neuropsychopharmacology. 26. S593–S593. 1 indexed citations
5.
Proft, Florian, Juliane Kopf, David G. Olmes, et al.. (2014). SLC6A2 and SLC6A4 Variants interact with Venlafaxine Serum Concentrations to Influence Therapy Outcome. Pharmacopsychiatry. 47(7). 245–250. 4 indexed citations
6.
Domschke, Katharina, Nicola Tidow, Kathrin Schwarte, et al.. (2013). 613 – Glutamate Decarboxylase 1 DNA Hypomethylation - An Epigenetic Signature of Panic Disorder?. European Psychiatry. 28(S1). 1 indexed citations
7.
Raczka, Karolina A., et al.. (2011). Empirical support for an involvement of the mesostriatal dopamine system in human fear extinction. Translational Psychiatry. 1(6). e12–e12. 75 indexed citations
8.
Jacob, Christian, Katharina Domschke, Alina Gajewska, Bodo Warrings, & J. Deckert. (2010). Genetics of panic disorder: focus on association studies and therapeutic perspectives. Expert Review of Neurotherapeutics. 10(8). 1273–1284. 10 indexed citations
9.
Domschke, Katharina, Patricia Ohrmann, Anders Degn Pedersen, et al.. (2010). P.4.b.00l Neuropeptide S receptor (NPSR) gene – imaging genetic evidence for a role in panic disorder. European Neuropsychopharmacology. 20. S530–S530. 2 indexed citations
10.
Domschke, Katharina, Maxim Zavorotnyy, Julia Diemer, et al.. (2009). COMT val158met influence on electroconvulsive therapy response in major depression. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 153B(1). 286–290. 26 indexed citations
11.
Baune, Bernhard T., et al.. (2008). Serotonin receptor 1A −1019C/G variant: Impact on antidepressant pharmacoresponse in melancholic depression?. Neuroscience Letters. 436(2). 111–115. 40 indexed citations
12.
Pfleiderer, Bettina, et al.. (2007). fMRI amygdala activation during a spontaneous panic attack in a patient with panic disorder. The World Journal of Biological Psychiatry. 8(4). 269–272. 58 indexed citations
13.
Domschke, Katharina, J. Deckert, Michael O’Donovan, & Stephen J. Glatt. (2007). Meta‐analysis of COMT val158met in panic disorder: Ethnic heterogeneity and gender specificity. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 144B(5). 667–673. 117 indexed citations
14.
Dannlowski, Udo, Patricia Ohrmann, Jochen Bauer, et al.. (2006). Serotonergic genes modulate amygdala activity in major depression. Genes Brain & Behavior. 6(7). 672–676. 105 indexed citations
15.
Herrmann, Martin J., Christa Hohoff, Ann‐Christine Ehlis, et al.. (2006). P.1.e.003 DTNBP1 (dysbindin) gene variants modulate prefrontal brain function in healthy individuals and schizophrenic patients. European Neuropsychopharmacology. 16. S260–S260. 3 indexed citations
16.
Schmitt, Angelika, Thomas Hennig, Jens Benninghoff, et al.. (2004). Quantitation of 5HT3 receptors in forebrain of serotonin transporter deficient mice. Journal of Neural Transmission. 111(1). 27–35. 24 indexed citations
17.
Deckert, J., Marco Catalano, Yana V. Syagailo, et al.. (1999). Excess of High Activity Monoamine Oxidase A Gene Promoter Alleles in Female Patients with Panic Disorder. Human Molecular Genetics. 8(4). 621–624. 482 indexed citations
18.
Wodarz, Norbert, Tilman Becker, & J. Deckert. (1995). MATTERS ARISING: Wodarz et al reply:. Journal of Neurology Neurosurgery & Psychiatry. 59(5). 563–564. 1 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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