Katja Werheid

2.5k total citations
65 papers, 1.8k citations indexed

About

Katja Werheid is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Rehabilitation. According to data from OpenAlex, Katja Werheid has authored 65 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Psychiatry and Mental health, 25 papers in Cognitive Neuroscience and 16 papers in Rehabilitation. Recurrent topics in Katja Werheid's work include Dementia and Cognitive Impairment Research (21 papers), Stroke Rehabilitation and Recovery (16 papers) and Face Recognition and Perception (14 papers). Katja Werheid is often cited by papers focused on Dementia and Cognitive Impairment Research (21 papers), Stroke Rehabilitation and Recovery (16 papers) and Face Recognition and Perception (14 papers). Katja Werheid collaborates with scholars based in Germany, United Kingdom and United States. Katja Werheid's co-authors include Werner Sommer, Annekathrin Schacht, D. Yves von Cramon, Ursula Heß, Linda Clare, Ines Jentzsch, Grit Hein, Angela D. Friederici, Sonja A. Kotz and M. Jöbges and has published in prestigious journals such as Neuropsychologia, Journal of Affective Disorders and Psychosomatic Medicine.

In The Last Decade

Katja Werheid

60 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katja Werheid Germany 25 907 514 403 270 245 65 1.8k
Simona Gardini Italy 26 738 0.8× 599 1.2× 243 0.6× 87 0.3× 135 0.6× 50 1.8k
Joël Macoir Canada 28 1.4k 1.5× 814 1.6× 322 0.8× 194 0.7× 187 0.8× 153 2.2k
Daniel Adrover‐Roig Spain 16 913 1.0× 492 1.0× 271 0.7× 99 0.4× 109 0.4× 46 1.9k
Anna Cantagallo Italy 24 944 1.0× 434 0.8× 320 0.8× 278 1.0× 243 1.0× 45 1.8k
Sara Bottiroli Italy 26 481 0.5× 681 1.3× 378 0.9× 179 0.7× 93 0.4× 78 1.7k
Natalia Ojeda Spain 27 859 0.9× 916 1.8× 321 0.8× 62 0.2× 492 2.0× 117 2.1k
Francisco Barceló Spain 29 2.9k 3.2× 790 1.5× 766 1.9× 99 0.4× 194 0.8× 58 4.2k
Michael David Horner United States 26 759 0.8× 642 1.2× 369 0.9× 60 0.2× 268 1.1× 61 2.1k
Trevor T.‐J. Chong Australia 23 1.4k 1.6× 444 0.9× 412 1.0× 42 0.2× 270 1.1× 97 2.6k
Jeffrey W. Elias United States 16 506 0.6× 722 1.4× 423 1.0× 71 0.3× 159 0.6× 58 2.1k

Countries citing papers authored by Katja Werheid

Since Specialization
Citations

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

Fields of papers citing papers by Katja Werheid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Werheid

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Werheid. A scholar is included among the top collaborators of Katja Werheid 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 Katja Werheid. Katja Werheid 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.
2.
Werheid, Katja, et al.. (2023). Predictors of post-stroke depression: Validation of established risk factors and introduction of a dynamic perspective in two longitudinal studies. Frontiers in Psychiatry. 14. 1093918–1093918. 15 indexed citations
3.
Mundiyanapurath, Sibu, Henning Schauenburg, Sven G. Meuth, et al.. (2023). Integrative-interpersonal dynamic therapy for poststroke depression (INID): study protocol of a randomised controlled pilot trial. BMJ Open. 13(8). e077656–e077656. 1 indexed citations
4.
Ziegler, Matthias, et al.. (2021). The Post-Stroke Depression Risk Scale (PoStDeRiS): Development of an Acute-Phase Prediction Model for Depression 6 Months After Stroke. Journal of the Academy of Consultation-Liaison Psychiatry. 63(2). 144–152. 12 indexed citations
5.
Benth, Jūratė Šaltytė, et al.. (2020). Managing depressive symptoms in people with mild cognitive impairment and mild dementia with a multicomponent psychotherapy intervention: a randomized controlled trial. International Psychogeriatrics. 33(3). 217–231. 22 indexed citations
6.
Zhou, Zien, Ying Xu, Xia Wang, et al.. (2018). Comparison of Treatment Rates of Depression After Stroke Versus Myocardial Infarction: A Systematic Review and Meta-Analysis of Observational Data. Psychosomatic Medicine. 80(8). 754–763. 26 indexed citations
7.
Werheid, Katja, et al.. (2016). ERP evidence for own-age effects on late stages of processing sad faces. Cognitive Affective & Behavioral Neuroscience. 16(4). 635–645. 6 indexed citations
8.
Werheid, Katja. (2015). A Two-Phase Pathogenetic Model of Depression after Stroke. Gerontology. 62(1). 33–39. 31 indexed citations
9.
Heß, Ursula, et al.. (2014). Facial age affects emotional expression decoding. Frontiers in Psychology. 5. 30–30. 94 indexed citations
10.
Lewin, Adam B., M. Jöbges, & Katja Werheid. (2013). The influence of self-efficacy, pre-stroke depression and perceived social support on self-reported depressive symptoms during stroke rehabilitation. Neuropsychological Rehabilitation. 23(4). 546–562. 47 indexed citations
11.
Hohlfeld, Annette, et al.. (2012). Syntactic structural parallelisms influence processing of positive stimuli: Evidence from cross-modal ERP priming. International Journal of Psychophysiology. 87(1). 28–34. 3 indexed citations
12.
Werheid, Katja, et al.. (2012). Recognition memory for emotional faces in amnestic mild cognitive impairment: An event-related potential study. Aging Neuropsychology and Cognition. 20(1). 49–79. 27 indexed citations
13.
Werheid, Katja, et al.. (2010). Biased recognition of positive faces in aging and amnestic mild cognitive impairment.. Psychology and Aging. 25(1). 1–15. 46 indexed citations
14.
Förstl, Hans, Katja Werheid, Kurt Ulm, et al.. (2009). MCI-plus: leichte kognitive Beeinträchtigung mit rascher Progredienz. DMW - Deutsche Medizinische Wochenschrift. 134(3). 88–91. 2 indexed citations
15.
Schacht, Annekathrin, Katja Werheid, & Werner Sommer. (2008). The appraisal of facial beauty is rapid but not mandatory. Cognitive Affective & Behavioral Neuroscience. 8(2). 132–142. 91 indexed citations
16.
Werheid, Katja, Annekathrin Schacht, & Werner Sommer. (2007). Facial attractiveness modulates early and late event-related brain potentials. Biological Psychology. 76(1-2). 100–108. 116 indexed citations
17.
Werheid, Katja & Angelika Thöne-Otto. (2005). Kognitives Training bei Alzheimer-Demenz. Der Nervenarzt. 77(5). 549–557. 15 indexed citations
18.
Müller, U., et al.. (2004). Prefrontal cognitive deficits in patients with schizophrenia treated with atypical or conventional antipsychotics. European Psychiatry. 20(1). 70–73. 17 indexed citations
19.
Schmid, Rolf D., et al.. (2003). Abstracts presented at the Twenty-Sixth Annual International Neuropsychological Society Mid-year Conference - July 16-20, 2003 - Berlin, Germany - Organized as a joint meeting with the German Society of Neuropsychology (GNP). Ghent University Academic Bibliography (Ghent University). 1 indexed citations
20.
Werheid, Katja, Stefan Zysset, Alana J. Muller, Martin Reuter, & D. Yves von Cramon. (2003). Rule learning in a serial reaction time task: An fMRI study on patients with early Parkinson’s disease. Cognitive Brain Research. 16(2). 273–284. 52 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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