Paul G. Unschuld

4.3k total citations · 1 hit paper
76 papers, 3.0k citations indexed

About

Paul G. Unschuld is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Paul G. Unschuld has authored 76 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 23 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Psychiatry and Mental health. Recurrent topics in Paul G. Unschuld's work include Functional Brain Connectivity Studies (26 papers), Alzheimer's disease research and treatments (17 papers) and Dementia and Cognitive Impairment Research (16 papers). Paul G. Unschuld is often cited by papers focused on Functional Brain Connectivity Studies (26 papers), Alzheimer's disease research and treatments (17 papers) and Dementia and Cognitive Impairment Research (16 papers). Paul G. Unschuld collaborates with scholars based in Switzerland, United States and Germany. Paul G. Unschuld's co-authors include Christopher A. Ross, Russell L. Margolis, Marcus Ising, Peter C.M. van Zijl, Susanne Lucae, Manfred Uhr, Stefan Kloiber, Bertram Müller‐Myhsok, Edward J. Wild and Jane S. Paulsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Paul G. Unschuld

69 papers receiving 3.0k citations

Hit Papers

Huntington disease: natural history, biomarkers and prosp... 2014 2026 2018 2022 2014 200 400 600

Peers

Paul G. Unschuld
Xiangling Mao United States
David Matuskey United States
N. Scott Mason United States
Jim Ropchan United States
Tracy Butler United States
Scott Schobel United States
Masanori Ichise United States
Mattia Veronese United Kingdom
Xiangling Mao United States
Paul G. Unschuld
Citations per year, relative to Paul G. Unschuld Paul G. Unschuld (= 1×) peers Xiangling Mao

Countries citing papers authored by Paul G. Unschuld

Since Specialization
Citations

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

Fields of papers citing papers by Paul G. Unschuld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul G. Unschuld. 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 Paul G. Unschuld. The network helps show where Paul G. Unschuld may publish in the future.

Co-authorship network of co-authors of Paul G. Unschuld

This figure shows the co-authorship network connecting the top 25 collaborators of Paul G. Unschuld. A scholar is included among the top collaborators of Paul G. Unschuld 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 Paul G. Unschuld. Paul G. Unschuld 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.
Berberat, Jatta, Claudia Späni, Jun Hua, et al.. (2025). Brain iron load and neuroaxonal vulnerability in adult attention‐deficit hyperactivity disorder. Psychiatry and Clinical Neurosciences. 79(5). 282–289.
3.
Tarailis, Povilas, et al.. (2025). Self-related thought alterations associated with intrinsic brain dysfunction in mild cognitive impairment. Scientific Reports. 15(1). 12279–12279.
4.
Bergen, Jiri M.G. Van, Rafael Meyer, Anton Gietl, et al.. (2025). Hippocampal iron patterns in aging and mild cognitive impairment. Frontiers in Aging Neuroscience. 17. 1598859–1598859. 1 indexed citations
5.
Tomczyk, Szymon, Federica Ribaldi, Max Scheffler, et al.. (2024). Fingerprints of brain disease: connectome identifiability in Alzheimer’s disease. Communications Biology. 7(1). 1169–1169. 4 indexed citations
6.
Schreiner, Simon J., Jiri M.G. Van Bergen, Anton Gietl, et al.. (2024). Gray matter gamma‐hydroxy‐butyric acid and glutamate reflect beta‐amyloid burden at old age. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(2). e12587–e12587. 5 indexed citations
7.
Unschuld, Paul G., et al.. (2023). État confusionnel aigu hypoactif. Un diagnostic différentiel dans le traitement de la démence et de la dépression. Revue Médicale Suisse. 18(833). 1282–1285. 2 indexed citations
8.
Unschuld, Paul G., et al.. (2023). Démences : recommandations actuelles de prise en charge. Revue Médicale Suisse. 19(844). 1797–1802.
9.
Treyer, Valérie, Rafael Meyer, Andreas Buchmann, et al.. (2021). Physical activity is associated with lower cerebral beta-amyloid and cognitive function benefits from lifetime experience–a study in exceptional aging. PLoS ONE. 16(2). e0247225–e0247225. 12 indexed citations
10.
Treyer, Valérie, Anton Gietl, Rafael Meyer, et al.. (2020). Reduced uptake of [11C]‐ABP688, a PET tracer for metabolic glutamate receptor 5 in hippocampus and amygdala in Alzheimer’s dementia. Brain and Behavior. 10(6). e01632–e01632. 18 indexed citations
11.
Quevenco, Frances C., Valérie Treyer, Rafael Meyer, et al.. (2020). Functional Brain Network Connectivity Patterns Associated With Normal Cognition at Old-Age, Local β-amyloid, Tau, and APOE4. Frontiers in Aging Neuroscience. 12. 46–46. 26 indexed citations
12.
Hua, Jun, Michael Wyss, Jiri M.G. Van Bergen, et al.. (2019). Increased cerebral blood volume in small arterial vessels is a correlate of amyloid-β–related cognitive decline. Neurobiology of Aging. 76. 181–193. 11 indexed citations
13.
Mainta, Ismini, et al.. (2018). Tau PET imaging evidence in patients with cognitive impairment: preparing for clinical use. Clinical and Translational Imaging. 6(6). 471–482. 3 indexed citations
14.
Schreiner, Simon J., Thomas Kirchner, Atul Narkhede, et al.. (2017). Brain amyloid burden and cerebrovascular disease are synergistically associated with neurometabolism in cognitively unimpaired older adults. Neurobiology of Aging. 63. 152–161. 18 indexed citations
15.
Unschuld, Paul G., Alison Buchholz, Mark Varvaris, et al.. (2013). Prefrontal Brain Network Connectivity Indicates Degree of Both Schizophrenia Risk and Cognitive Dysfunction. Schizophrenia Bulletin. 40(3). 653–664. 64 indexed citations
16.
Unschuld, Paul G., Richard A.E. Edden, Aaron Carass, et al.. (2012). Brain metabolite alterations and cognitive dysfunction in early Huntington's disease. Movement Disorders. 27(7). 895–902. 58 indexed citations
17.
Unschuld, Paul G., Marcus Ising, Darina Roeske, et al.. (2010). Gender-Specific Association of Galanin Polymorphisms with HPA-Axis Dysregulation, Symptom Severity, and Antidepressant Treatment Response. Neuropsychopharmacology. 35(7). 1583–1592. 48 indexed citations
18.
Kloiber, Stefan, T. Brueckl, Stephan Ripke, et al.. (2009). Variations in tryptophan hydroxylase 2 linked to decreased serotonergic activity are associated with elevated risk for metabolic syndrome in depression. Molecular Psychiatry. 15(7). 736–747. 27 indexed citations
19.
Ising, Marcus, Susanne Lucae, Paul G. Unschuld, et al.. (2008). Polymorphisms in the FKBP5 gene region modulate recovery from psychosocial stress in healthy controls. European Journal of Neuroscience. 28(2). 389–398. 251 indexed citations
20.
Erhardt, Angelika, Susanne Lucae, Paul G. Unschuld, et al.. (2007). Association of polymorphisms in P2RX7 and CaMKKb with anxiety disorders. Journal of Affective Disorders. 101(1-3). 159–168. 69 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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