Ulrike Lueken

5.2k total citations
106 papers, 2.6k citations indexed

About

Ulrike Lueken is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, Ulrike Lueken has authored 106 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Experimental and Cognitive Psychology, 50 papers in Cognitive Neuroscience and 28 papers in Clinical Psychology. Recurrent topics in Ulrike Lueken's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (56 papers), Mental Health Research Topics (34 papers) and Functional Brain Connectivity Studies (21 papers). Ulrike Lueken is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (56 papers), Mental Health Research Topics (34 papers) and Functional Brain Connectivity Studies (21 papers). Ulrike Lueken collaborates with scholars based in Germany, United States and Netherlands. Ulrike Lueken's co-authors include Hans‐Ulrich Wïttchen, Kevin Hilbert, Katja Beesdo‐Baum, Markus Muehlhan, Tilo Kircher, Benjamin Straube, Andreas Ströhle, André Wittmann, Tim Hahn and Bettina Pfleiderer and has published in prestigious journals such as PLoS ONE, NeuroImage and American Journal of Psychiatry.

In The Last Decade

Ulrike Lueken

98 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrike Lueken Germany 29 1.2k 1.2k 611 483 295 106 2.6k
Lisa M. McTeague United States 28 1.2k 0.9× 1.6k 1.3× 777 1.3× 514 1.1× 270 0.9× 62 3.0k
Nils Kohn Germany 27 878 0.7× 1.3k 1.1× 592 1.0× 404 0.8× 188 0.6× 85 2.7k
Robin L. Aupperle United States 26 687 0.6× 828 0.7× 782 1.3× 323 0.7× 197 0.7× 111 2.3k
Ronny Redlich Germany 31 770 0.6× 1.2k 1.0× 524 0.9× 725 1.5× 257 0.9× 68 2.5k
Go Okada Japan 31 969 0.8× 2.0k 1.7× 464 0.8× 549 1.1× 201 0.7× 79 3.2k
Stacey M. Schaefer United States 26 910 0.7× 2.1k 1.7× 761 1.2× 439 0.9× 480 1.6× 53 3.7k
Antonia N. Kaczkurkin United States 23 839 0.7× 1000 0.8× 818 1.3× 395 0.8× 330 1.1× 60 2.2k
Andrew S. Fox United States 10 826 0.7× 2.0k 1.6× 664 1.1× 427 0.9× 168 0.6× 12 3.1k
Jason T. Buhle United States 15 1.6k 1.3× 2.5k 2.1× 1.1k 1.8× 609 1.3× 319 1.1× 17 4.1k
Henry W. Chase United States 29 793 0.6× 1.9k 1.6× 625 1.0× 577 1.2× 124 0.4× 84 3.1k

Countries citing papers authored by Ulrike Lueken

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Lueken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Lueken

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Lueken. A scholar is included among the top collaborators of Ulrike Lueken 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 Ulrike Lueken. Ulrike Lueken 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
2.
Gottschalk, Michael G., Ulrike Lueken, Tina B. Lonsdorf, et al.. (2025). The Adult Separation Anxiety Questionnaire (ASA-27): reliability of the German translation, factor structure, and concurrent validity with anxiety sensitivity and agoraphobic cognition. Der Nervenarzt. 96(7). 678–685. 1 indexed citations
5.
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
6.
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
7.
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
8.
Hilbert, Kevin, et al.. (2022). Impact of COVID-19 pandemic related stressors on patients with anxiety disorders: A cross-sectional study. PLoS ONE. 17(8). e0272215–e0272215. 9 indexed citations
9.
10.
Leehr, Elisabeth J., Kati Roesmann, Joscha Böhnlein, et al.. (2021). Clinical predictors of treatment response towards exposure therapy in virtuo in spider phobia: A machine learning and external cross-validation approach. Journal of Anxiety Disorders. 83. 102448–102448. 23 indexed citations
12.
Kunas, Stefanie L., Kevin Hilbert, Yunbo Yang, et al.. (2020). The modulating impact of cigarette smoking on brain structure in panic disorder: a voxel-based morphometry study. Social Cognitive and Affective Neuroscience. 15(8). 849–859. 10 indexed citations
13.
Bas‐Hoogendam, Janna Marie, Nynke A. Groenewold, Moji Aghajani, et al.. (2020). ENIGMA‐anxietyworking group: Rationale for and organization oflarge‐scaleneuroimaging studies of anxiety disorders. Human Brain Mapping. 43(1). 83–112. 24 indexed citations
14.
Kunas, Stefanie L., Yunbo Yang, Benjamin Straube, et al.. (2018). The impact of depressive comorbidity on neural plasticity following cognitive-behavioral therapy in panic disorder with agoraphobia. Journal of Affective Disorders. 245. 451–460. 10 indexed citations
15.
Wittmann, André, Florian Schlagenhauf, Anne Guhn, et al.. (2018). Effects of Cognitive Behavioral Therapy on Neural Processing of Agoraphobia-Specific Stimuli in Panic Disorder and Agoraphobia. Psychotherapy and Psychosomatics. 87(6). 350–365. 8 indexed citations
16.
Steudte‐Schmiedgen, Susann, Susann Wichmann, Tobias Stalder, et al.. (2016). Hair cortisol concentrations and cortisol stress reactivity in generalized anxiety disorder, major depression and their comorbidity. Journal of Psychiatric Research. 84. 184–190. 71 indexed citations
17.
Hilbert, Kevin, et al.. (2015). Psychophsyiological reactivity during uncertainty and ambiguity processing in high and low worriers. Journal of Behavior Therapy and Experimental Psychiatry. 50. 97–105. 13 indexed citations
18.
Lueken, Ulrike, Benjamin Straube, Yunbo Yang, et al.. (2015). Separating depressive comorbidity from panic disorder: A combined functional magnetic resonance imaging and machine learning approach. Journal of Affective Disorders. 184. 182–192. 46 indexed citations
19.
Hilbert, Kevin, Daniel S. Pine, Markus Muehlhan, et al.. (2015). Gray and white matter volume abnormalities in generalized anxiety disorder by categorical and dimensional characterization. Psychiatry Research Neuroimaging. 234(3). 314–320. 52 indexed citations
20.
Lueken, Ulrike, et al.. (2006). Die Apathy Evaluation Scale: Erste Ergebnisse zu den psychometrischen Eigenschaften einer deutschsprachigen Übersetzung der Skala. Fortschritte der Neurologie · Psychiatrie. 74(12). 714–722. 57 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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