Tim Hahn

6.3k total citations
35 papers, 520 citations indexed

About

Tim Hahn is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Tim Hahn has authored 35 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 9 papers in Psychiatry and Mental health and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Tim Hahn's work include Functional Brain Connectivity Studies (9 papers), Tryptophan and brain disorders (6 papers) and Mental Health Research Topics (6 papers). Tim Hahn is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Tryptophan and brain disorders (6 papers) and Mental Health Research Topics (6 papers). Tim Hahn collaborates with scholars based in Germany, Australia and United Kingdom. Tim Hahn's co-authors include Micah Cearns, Bernhard T. Baune, Udo Dannlowski, Nils R. Winter, Ramona Leenings, Igor Nenadić, Tilo Kircher, Axel Krug, Lars T. Westlye and Jaroslav Rokicki and has published in prestigious journals such as PLoS ONE, NeuroImage and Annals of Neurology.

In The Last Decade

Tim Hahn

30 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Hahn Germany	13	242	101	101	81	56	35	520
Mariam Zabihi United Kingdom	7	346 1.4×	110 1.1×	99 1.0×	113 1.4×	26 0.5×	8	471
Lee Jollans Ireland	11	229 0.9×	65 0.6×	82 0.8×	58 0.7×	25 0.4×	17	417
Ruiping Zheng China	15	355 1.5×	136 1.3×	108 1.1×	107 1.3×	25 0.4×	43	603
Hamdi Eryilmaz United States	13	453 1.9×	128 1.3×	69 0.7×	140 1.7×	36 0.6×	24	682
Mireille Nieuwenhuis Netherlands	5	457 1.9×	101 1.0×	244 2.4×	247 3.0×	63 1.1×	6	655
Matthew Bracher‐Smith United Kingdom	13	122 0.5×	57 0.6×	139 1.4×	48 0.6×	42 0.8×	23	667
Ronald J. Janssen Netherlands	10	224 0.9×	63 0.6×	46 0.5×	110 1.4×	31 0.6×	16	410
Valeria Kebets Switzerland	10	363 1.5×	148 1.5×	129 1.3×	121 1.5×	13 0.2×	24	519
Luigi A. Maglanoc Norway	11	222 0.9×	154 1.5×	50 0.5×	66 0.8×	14 0.3×	13	423

Countries citing papers authored by Tim Hahn

Since Specialization

Citations

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

Fields of papers citing papers by Tim Hahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Hahn

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Hahn. A scholar is included among the top collaborators of Tim Hahn 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 Tim Hahn. Tim Hahn 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

1.

Ernsting, Jan, et al.. (2025). pyAKI—An open source solution to automated acute kidney injury classification. PLoS ONE. 20(1). e0315325–e0315325. 1 indexed citations

2.

Thomas‐Odenthal, Florian, Paula Usemann, Nina Alexander, et al.. (2025). Linking speech patterns to brain structure in affective and psychotic disorders: an integrative natural language processing approach. Molecular Psychiatry. 31(4). 2057–2068.

3.

Winter, Nils R., et al.. (2025). Predictive modeling with linear machine learning can estimate glioblastoma survival in months based solely on MGMT-methylation status, age and sex. Acta Neurochirurgica. 167(1). 52–52.

4.

Fischer, Ludger, Mary Nguyen, Stefan Becker, et al.. (2025). AI for mental health: clinician expectations and priorities in computational psychiatry. BMC Psychiatry. 25(1). 584–584.

5.

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

6.

Heming, Michael, Anna‐Lena Börsch, L. Fisch, et al.. (2024). Atlas of Cerebrospinal Fluid Immune Cells Across Neurological Diseases. Annals of Neurology. 97(4). 779–790.

7.

Emden, Daniel, Jerome C. Foo, Fabian Streit, et al.. (2024). Momentary Depression Severity Prediction in Patients With Acute Depression Who Undergo Sleep Deprivation Therapy: Speech-Based Machine Learning Approach. JMIR Mental Health. 11. e64578–e64578. 2 indexed citations

8.

Meisenzahl, Eva, Natalia Wege, Gerd Schulte‐Körne, et al.. (2024). Clinical high risk state of major depressive episodes: Assessment of prodromal phase, its occurrence, duration and symptom patterns by the instrument the DEpression Early Prediction-INventory (DEEP-IN). Journal of Affective Disorders. 351. 403–413. 3 indexed citations

9.

Pfarr, Julia‐Katharina, Tina Meller, Katharina Brosch, et al.. (2023). Data-driven multivariate identification of gyrification patterns in a transdiagnostic patient cohort: A cluster analysis approach. NeuroImage. 281. 120349–120349. 2 indexed citations

10.

Thiel, Katharina, Susanne Meinert, Tim Hahn, et al.. (2023). Association of polysialic acid serum levels with schizophrenia spectrum and bipolar disorder-related structural brain changes and hospitalization. Scientific Reports. 13(1). 2085–2085. 7 indexed citations

11.

Lange, Ann‐Marie G. de, Melis Anatürk, Jaroslav Rokicki, et al.. (2022). Mind the gap: Performance metric evaluation in brain‐age prediction. Human Brain Mapping. 43(10). 3113–3129. 82 indexed citations

12.

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

13.

Leenings, Ramona, Nils R. Winter, Lucas Plagwitz, et al.. (2021). PHOTONAI—A Python API for rapid machine learning model development. PLoS ONE. 16(7). e0254062–e0254062. 12 indexed citations

14.

Räuber, Saskia, Michael Heming, Jonathan Repple, et al.. (2021). Cerebrospinal fluid flow cytometry distinguishes psychosis spectrum disorders from differential diagnoses. Molecular Psychiatry. 26(12). 7661–7670. 18 indexed citations

15.

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.

16.

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 Systems Neuroscience. 14. 28–28. 20 indexed citations

17.

Kittel‐Schneider, Sarah, Tim Hahn, F. Haenisch, et al.. (2020). Proteomic Profiling as a Diagnostic Biomarker for Discriminating Between Bipolar and Unipolar Depression. Frontiers in Psychiatry. 11. 189–189. 15 indexed citations

18.

Hilger, Kirsten, Nils R. Winter, Ramona Leenings, et al.. (2020). Predicting intelligence from brain gray matter volume. Brain Structure and Function. 225(7). 2111–2129. 28 indexed citations

19.

Donini, Michele, João M. Monteiro, Massimiliano Pontil, et al.. (2019). Combining heterogeneous data sources for neuroimaging based diagnosis: re-weighting and selecting what is important. NeuroImage. 195. 215–231. 15 indexed citations

20.

Leehr, Elisabeth J., Nils Opel, Ronny Redlich, et al.. (2019). Evidence for a sex-specific contribution of polygenic load for anorexia nervosa to body weight and prefrontal brain structure in nonclinical individuals. Neuropsychopharmacology. 44(13). 2212–2219. 2 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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