Timo Uphaus

3.1k total citations
53 papers, 952 citations indexed

About

Timo Uphaus is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Timo Uphaus has authored 53 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 15 papers in Epidemiology and 14 papers in Pathology and Forensic Medicine. Recurrent topics in Timo Uphaus's work include Multiple Sclerosis Research Studies (14 papers), Acute Ischemic Stroke Management (14 papers) and Atrial Fibrillation Management and Outcomes (9 papers). Timo Uphaus is often cited by papers focused on Multiple Sclerosis Research Studies (14 papers), Acute Ischemic Stroke Management (14 papers) and Atrial Fibrillation Management and Outcomes (9 papers). Timo Uphaus collaborates with scholars based in Germany, United Kingdom and United States. Timo Uphaus's co-authors include Frauke Zipp, Stefan Bittner, Klaus Gröschel, Sergiu Groppa, Muthuraman Muthuraman, Falk Steffen, Rolf Wachter, Sonja Gröschel, Catherine Larochelle and Mark Weber-Krüger and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Timo Uphaus

48 papers receiving 936 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timo Uphaus Germany 18 308 242 218 190 176 53 952
Ha Young Shin South Korea 20 182 0.6× 140 0.6× 534 2.4× 319 1.7× 146 0.8× 126 1.2k
Domingo Escudero Spain 20 193 0.6× 64 0.3× 565 2.6× 131 0.7× 138 0.8× 41 991
Yuri A. Zárate United States 17 113 0.4× 98 0.4× 92 0.4× 503 2.6× 223 1.3× 67 1.3k
Jennifer A. Tracy United States 17 232 0.8× 40 0.2× 406 1.9× 189 1.0× 72 0.4× 46 968
Shahar Shelly United States 14 79 0.3× 141 0.6× 492 2.3× 108 0.6× 168 1.0× 72 1.0k
Eugene Vlodavsky Israel 15 70 0.2× 72 0.3× 330 1.5× 254 1.3× 167 0.9× 48 847
Ilka Kleffner Germany 18 185 0.6× 36 0.1× 287 1.3× 129 0.7× 80 0.5× 40 1.2k
D. Ryan Ormond United States 21 115 0.4× 33 0.1× 241 1.1× 190 1.0× 304 1.7× 78 1.3k
Ljubisa J. Dragovic United States 13 94 0.3× 100 0.4× 217 1.0× 85 0.4× 127 0.7× 24 775
Svetlana Egorova United States 15 322 1.0× 76 0.3× 179 0.8× 247 1.3× 65 0.4× 24 963

Countries citing papers authored by Timo Uphaus

Since Specialization
Citations

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

Fields of papers citing papers by Timo Uphaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Uphaus

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Uphaus. A scholar is included among the top collaborators of Timo Uphaus 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 Timo Uphaus. Timo Uphaus 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.
Luessi, Felix, et al.. (2025). Venlafaxine-induced serotonin syndrome causing bilateral cerebral strokes: a case report. PubMed. 3. 1529674–1529674.
2.
Gröschel, Sonja, et al.. (2025). Do scoring systems help us to estimate prognosis after mechanical thrombectomy? Data from the German Stroke Registry. Journal of NeuroInterventional Surgery. 18(2). 362–370.
3.
Gröschel, Sonja, et al.. (2025). Delirium following mechanical thrombectomy for ischemic stroke – individuals at risk, imaging biomarkers and prognosis. Frontiers in Aging Neuroscience. 17. 1486726–1486726. 1 indexed citations
4.
Benkert, Thomas, Timo Uphaus, Sergiu Groppa, et al.. (2024). Deep Learning Accelerated Brain Diffusion-Weighted MRI with Super Resolution Processing. Academic Radiology. 31(10). 4171–4182. 7 indexed citations
5.
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7.
Christodoulou, Konstantinos, Timo Uphaus, Max Jägersberg, et al.. (2024). Evolving patterns of intracranial hemorrhage in advanced therapies in patients with acute pulmonary embolism. Thrombosis Research. 243. 109168–109168. 1 indexed citations
8.
Winter, Yaroslav, Sergiu Groppa, Timo Uphaus, et al.. (2024). Cerebral vasculitis as a clinical manifestation of neurosarcoidosis: A scoping review. Autoimmunity Reviews. 23(4). 103528–103528. 2 indexed citations
9.
Kim, Dong, et al.. (2024). Impact of deep Learning-enhanced contrast on diagnostic accuracy in stroke CT angiography. European Journal of Radiology. 181. 111808–111808. 1 indexed citations
10.
Schmidtmann, Irene, Bryan Clifford, Thorsten Feiweier, et al.. (2024). Ultrafast Brain MRI with Deep Learning Reconstruction for Suspected Acute Ischemic Stroke. Radiology. 310(2). e231938–e231938. 19 indexed citations
11.
Bitar, Lynn, Sonja Gröschel, Falk Steffen, et al.. (2023). Strict blood pressure control following thrombectomy is associated with neuronal injury and poor functional outcome. Annals of Clinical and Translational Neurology. 10(12). 2255–2265.
12.
Engel, Sinah, Erik Ellwardt, Timo Uphaus, et al.. (2023). Elevated neurofilament light chain CSF/serum ratio indicates impaired CSF outflow in idiopathic intracranial hypertension. Fluids and Barriers of the CNS. 20(1). 3–3. 7 indexed citations
13.
Brockmann, Carolin, Timo Uphaus, Florian Ringel, et al.. (2023). Comparison of Ultra-High-Resolution and Normal-Resolution CT-Angiography for Intracranial Aneurysm Detection in Patients with Subarachnoid Hemorrhage. Academic Radiology. 31(4). 1594–1604. 4 indexed citations
14.
Clifford, Bryan, Thorsten Feiweier, Timo Uphaus, et al.. (2023). Ultrafast Brain MRI Protocol at 1.5 T Using Deep Learning and Multi-shot EPI. Academic Radiology. 30(12). 2988–2998. 11 indexed citations
15.
Uphaus, Timo, Toby Richards, Christian Weimar, et al.. (2022). Revacept, an Inhibitor of Platelet Adhesion in Symptomatic Carotid Stenosis: A Multicenter Randomized Phase II Trial. Stroke. 53(9). 2718–2729. 25 indexed citations
16.
Winter, Yaroslav, et al.. (2022). Efficacy and safety of antiseizure medication in post-stroke epilepsy. Seizure. 100. 109–114. 14 indexed citations
17.
Gröschel, Sonja, et al.. (2022). The Bigger the Better? Center Volume Dependent Effects on Procedural and Functional Outcome in Established Endovascular Stroke Centers. Frontiers in Neurology. 13. 828528–828528. 6 indexed citations
18.
Sadlonova, Monika, Katrin Wasser, Jonas Nagel, et al.. (2021). Health-related quality of life, anxiety and depression up to 12 months post-stroke: Influence of sex, age, stroke severity and atrial fibrillation – A longitudinal subanalysis of the Find-AFRANDOMISED trial. Journal of Psychosomatic Research. 142. 110353–110353. 31 indexed citations
19.
Rébillard, Rose‐Marie, Victoria Mamane, Audrey Daigneault, et al.. (2020). Increased frequency of proinflammatory CD4 T cells and pathological levels of serum neurofilament light chain in adult drug‐resistant epilepsy. Epilepsia. 62(1). 176–189. 41 indexed citations
20.
Uphaus, Timo, et al.. (2020). Stroke Care Within the COVID-19 Pandemic—Increasing Awareness of Transient and Mild Stroke Symptoms Needed. Frontiers in Neurology. 11. 581394–581394. 10 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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