Udo Dannlowski

42.8k total citations · 1 hit paper
229 papers, 8.5k citations indexed

About

Udo Dannlowski is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Udo Dannlowski has authored 229 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Cognitive Neuroscience, 94 papers in Experimental and Cognitive Psychology and 51 papers in Psychiatry and Mental health. Recurrent topics in Udo Dannlowski's work include Functional Brain Connectivity Studies (78 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (56 papers) and Mental Health Research Topics (39 papers). Udo Dannlowski is often cited by papers focused on Functional Brain Connectivity Studies (78 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (56 papers) and Mental Health Research Topics (39 papers). Udo Dannlowski collaborates with scholars based in Germany, Australia and United States. Udo Dannlowski's co-authors include Thomas Suslow, Harald Kugel, Walter Heindel, Volker Arolt, Dominik Grotegerd, Ronny Redlich, Jochen Bauer, Anja Stuhrmann, Patricia Ohrmann and Carsten Konrad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Udo Dannlowski

219 papers receiving 8.4k citations

Hit Papers

Limbic Scars: Long-Term C... 2011 2026 2016 2021 2011 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Udo Dannlowski 3.7k 2.6k 2.0k 2.0k 1.2k 229 8.5k
Volker Arolt 3.2k 0.8× 2.0k 0.8× 1.9k 0.9× 2.0k 1.0× 1.3k 1.1× 172 8.5k
Thomas Suslow 3.2k 0.9× 2.6k 1.0× 2.1k 1.1× 2.1k 1.1× 944 0.8× 191 7.6k
Nic J.A. van der Wee 3.3k 0.9× 2.7k 1.0× 2.9k 1.5× 1.2k 0.6× 736 0.6× 196 8.2k
Sarah Whittle 3.5k 0.9× 1.9k 0.7× 3.0k 1.5× 1.2k 0.6× 1.1k 0.9× 222 8.5k
Alan N. Simmons 5.6k 1.5× 3.6k 1.4× 3.6k 1.8× 2.1k 1.1× 815 0.7× 208 11.4k
Peter Zwanzger 2.2k 0.6× 1.6k 0.6× 1.8k 0.9× 1.5k 0.8× 1.3k 1.1× 211 7.4k
Ben J. Harrison 6.6k 1.8× 3.0k 1.1× 2.9k 1.5× 2.1k 1.1× 597 0.5× 213 11.1k
Katharina Domschke 2.8k 0.8× 2.7k 1.0× 3.6k 1.8× 2.2k 1.1× 1.5k 1.3× 368 11.4k
Guido van Wingen 3.3k 0.9× 1.7k 0.6× 1.6k 0.8× 896 0.5× 1.6k 1.3× 188 7.0k
Jennifer Keller 5.4k 1.5× 2.0k 0.8× 880 0.4× 1.4k 0.7× 1.0k 0.9× 69 9.0k

Countries citing papers authored by Udo Dannlowski

Since Specialization
Citations

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

Fields of papers citing papers by Udo Dannlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udo Dannlowski

This figure shows the co-authorship network connecting the top 25 collaborators of Udo Dannlowski. A scholar is included among the top collaborators of Udo Dannlowski 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 Udo Dannlowski. Udo Dannlowski 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.
Gilardi, Carlotta, Brunno Rocha Levone, Silvia Bicker, et al.. (2025). miR-708-5p is elevated in bipolar patients and can induce mood disorder-associated behavior in mice. EMBO Reports. 26(8). 2121–2145. 2 indexed citations
2.
Schubotz, Ricarda I., et al.. (2025). Alterations of task-based fMRI topology underlying cognitive flexibility and stability in schizophrenia. NeuroImage. 318. 121416–121416.
3.
Schneider, Katharina, Nina Alexander, Andreas Jansen, et al.. (2024). Brain structural associations of syntactic complexity and diversity across schizophrenia spectrum and major depressive disorders, and healthy controls. SHILAP Revista de lepidopterología. 10(1). 101–101. 2 indexed citations
4.
Fisch, L., Daniel Emden, Jan Ernsting, et al.. (2024). deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks. Computers in Biology and Medicine. 179. 108845–108845. 3 indexed citations
5.
Dannlowski, Udo, et al.. (2024). Gray matter matters: Cognitive stability and flexibility in schizophrenia spectrum disorder. Psychophysiology. 61(9). e14596–e14596.
6.
González‐Escamilla, Gabriel, Vinzenz Fleischer, Dominik Grotegerd, et al.. (2024). Concurrent inflammation-related brain reorganization in multiple sclerosis and depression. Brain Behavior and Immunity. 119. 978–988. 5 indexed citations
7.
Richter, Maike, Janik Goltermann, Tiana Borgers, et al.. (2023). Treatment with the second-generation antipsychotic quetiapine is associated with increased subgenual ACC activation during reward processing in major depressive disorder. Journal of Affective Disorders. 329. 404–412. 2 indexed citations
8.
Brosch, Katharina, Julia‐Katharina Pfarr, Katharina Schneider, et al.. (2023). Relative importance of speech and voice features in the classification of schizophrenia and depression. Translational Psychiatry. 13(1). 298–298. 17 indexed citations
9.
Gall, Dominik, Udo Dannlowski, Katharina Domschke, et al.. (2023). Prediction of Changes in Negative Affect During the COVID-19 Pandemic by Experimental Fear Conditioning and Generalization Measures. Zeitschrift für Psychologie. 231(2). 137–148. 3 indexed citations
10.
Roesmann, Kati, Bettina Gathmann, Martin J. Herrmann, et al.. (2023). Individual-Level Prediction of Exposure Therapy Outcome Using Structural and Functional MRI Data in Spider Phobia: A Machine-Learning Study. Depression and Anxiety. 2023. 1–11. 2 indexed citations
11.
Schiele, Miriam A., Elisabeth J. Leehr, Dirk Schümann, et al.. (2023). Reduced discrimination between signals of danger and safety but not overgeneralization is linked to exposure to childhood adversity in healthy adults. eLife. 12. 4 indexed citations
13.
Lieslehto, Johannes, Erika Jääskeläinen, Vesa Kiviniemi, et al.. (2021). The progression of disorder-specific brain pattern expression in schizophrenia over 9 years. Schizophrenia. 7(1). 32–32. 16 indexed citations
14.
Flint, Claas, Katharina Förster, Carsten Konrad, et al.. (2020). Biological sex classification with structural MRI data shows increased misclassification in transgender women. Neuropsychopharmacology. 45(10). 1758–1765. 12 indexed citations
15.
Denzel, Dominik, Lejla Čolić, Liliana Ramona Demenescu, et al.. (2020). Local glutamate in cingulate cortex subregions differentially correlates with affective network activations during face perception. European Journal of Neuroscience. 52(3). 3047–3060. 1 indexed citations
16.
Richter, Maike, Michael Storck, Janik Goltermann, et al.. (2020). Repeated Digitized Assessment of Risk and Symptom Profiles During Inpatient Treatment of Affective Disorder: Observational Study. JMIR Mental Health. 7(12). e24066–e24066. 4 indexed citations
17.
Sämann, Philipp G., Juan Eugenio Iglesias, Boris A. Gutman, et al.. (2020). FreeSurfer based segmentation of hippocampal subfields: a review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts. PsyArXiv (OSF Preprints). 14 indexed citations
18.
Schmitt, Simon, Frederike Stein, Dilara Yüksel, et al.. (2020). Long-Term Neuroanatomical Consequences of Childhood Maltreatment: Reduced Amygdala Inhibition by Medial Prefrontal Cortex. Frontiers in Neuroscience. 2020.
19.
Dannlowski, Udo, Carsten Konrad, Volker Arolt, & Thomas Suslow. (2010). Neurogenetik emotionaler Prozesse. Neuroimaging-Befunde als Endophänotypen der Depression.. Der Nervenarzt. 81(1). 24–31. 3 indexed citations
20.
Dannlowski, Udo, Patricia Ohrmann, Carsten Konrad, et al.. (2008). Reduced amygdala–prefrontal coupling in major depression: association with MAOA genotype and illness severity. The International Journal of Neuropsychopharmacology. 12(1). 11–11. 172 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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