Vinzenz Fleischer

2.0k total citations
52 papers, 1.0k citations indexed

About

Vinzenz Fleischer is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Vinzenz Fleischer has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Pathology and Forensic Medicine, 17 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Cognitive Neuroscience. Recurrent topics in Vinzenz Fleischer's work include Multiple Sclerosis Research Studies (42 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and Functional Brain Connectivity Studies (10 papers). Vinzenz Fleischer is often cited by papers focused on Multiple Sclerosis Research Studies (42 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and Functional Brain Connectivity Studies (10 papers). Vinzenz Fleischer collaborates with scholars based in Germany, Moldova and United Kingdom. Vinzenz Fleischer's co-authors include Frauke Zipp, Sergiu Groppa, Muthuraman Muthuraman, Amgad Droby, Gabriel González‐Escamilla, Felix Luessi, René‐Maxime Gracien, Ralf Deichmann, Dumitru Ciolac and Angela Radetz and has published in prestigious journals such as PLoS ONE, Brain and Annals of Neurology.

In The Last Decade

Vinzenz Fleischer

52 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinzenz Fleischer Germany 18 622 364 257 195 123 52 1.0k
Wafaa Zaaraoui France 20 665 1.1× 501 1.4× 170 0.7× 247 1.3× 120 1.0× 45 1.2k
Margit Jehna Austria 16 582 0.9× 379 1.0× 234 0.9× 215 1.1× 115 0.9× 29 1.1k
Françoise Reuter France 19 936 1.5× 274 0.8× 197 0.8× 309 1.6× 192 1.6× 34 1.2k
Laura E. Jonkman Netherlands 19 448 0.7× 402 1.1× 107 0.4× 216 1.1× 100 0.8× 49 917
Bartolomé Bejarano Spain 13 606 1.0× 253 0.7× 193 0.8× 210 1.1× 96 0.8× 30 1.3k
Mariaemma Rodegher Italy 24 1.2k 1.9× 387 1.1× 333 1.3× 340 1.7× 221 1.8× 47 1.6k
Michael Amann Switzerland 21 787 1.3× 344 0.9× 154 0.6× 370 1.9× 218 1.8× 60 1.5k
M Wallner-Blazek Austria 17 595 1.0× 230 0.6× 92 0.4× 186 1.0× 133 1.1× 20 969
Rebecca S. Samson United Kingdom 25 775 1.2× 731 2.0× 332 1.3× 222 1.1× 135 1.1× 60 1.6k
Lucy Matthews United Kingdom 13 582 0.9× 268 0.7× 106 0.4× 352 1.8× 63 0.5× 18 1.1k

Countries citing papers authored by Vinzenz Fleischer

Since Specialization
Citations

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

Fields of papers citing papers by Vinzenz Fleischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinzenz Fleischer

This figure shows the co-authorship network connecting the top 25 collaborators of Vinzenz Fleischer. A scholar is included among the top collaborators of Vinzenz Fleischer 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 Vinzenz Fleischer. Vinzenz Fleischer 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.
González‐Escamilla, Gabriel, Vinzenz Fleischer, Deborah Pareto, et al.. (2025). Structural covariance analysis for neurodegenerative and neuroinflammatory brain disorders. Brain. 148(9). 3072–3084. 1 indexed citations
2.
Fleischer, Vinzenz, Muthuraman Muthuraman, Falk Steffen, et al.. (2025). Biomarker combinations from different modalities predict early disability accumulation in multiple sclerosis. Frontiers in Immunology. 16. 1532660–1532660. 1 indexed citations
3.
González‐Escamilla, Gabriel, Vinzenz Fleischer, Dominik Grotegerd, et al.. (2024). Concurrent inflammation-related brain reorganization in multiple sclerosis and depression. Brain Behavior and Immunity. 119. 978–988. 5 indexed citations
4.
Ciolac, Dumitru, Gabriel González‐Escamilla, Yaroslav Winter, et al.. (2022). Altered grey matter integrity and network vulnerability relate to epilepsy occurrence in patients with multiple sclerosis. European Journal of Neurology. 29(8). 2309–2320. 5 indexed citations
5.
Muthuraman, Muthuraman, Vinzenz Fleischer, Dumitru Ciolac, et al.. (2022). Choroid plexus imaging to track neuroinflammation – a translational model for mouse and human studies. Neural Regeneration Research. 18(3). 521–521. 6 indexed citations
6.
Ciolac, Dumitru, Gabriel González‐Escamilla, Yaroslav Winter, et al.. (2022). Brain network correlates of epilepsy occurrence in multiple sclerosis and neuroinflammation. Neural Regeneration Research. 18(8). 0–0. 3 indexed citations
7.
Ciolac, Dumitru, Gabriel González‐Escamilla, Angela Radetz, et al.. (2021). Sex-specific signatures of intrinsic hippocampal networks and regional integrity underlying cognitive status in multiple sclerosis. Brain Communications. 3(3). 6 indexed citations
8.
González‐Escamilla, Gabriel, Dumitru Ciolac, Silvia De Santis, et al.. (2020). Gray matter network reorganization in multiple sclerosis from 7‐Tesla and 3‐Tesla MRI data. Annals of Clinical and Translational Neurology. 7(4). 543–553. 10 indexed citations
9.
Fleischer, Vinzenz, Muthuraman Muthuraman, Abdul Rauf Anwar, et al.. (2020). Continuous reorganization of cortical information flow in multiple sclerosis: A longitudinal fMRI effective connectivity study. Scientific Reports. 10(1). 806–806. 15 indexed citations
10.
Cerina, Manuela, Muthuraman Muthuraman, Nabin Koirala, et al.. (2020). Myelination- and immune-mediated MR-based brain network correlates. Journal of Neuroinflammation. 17(1). 186–186. 12 indexed citations
11.
Fleischer, Vinzenz, Angela Radetz, Dumitru Ciolac, et al.. (2017). Graph Theoretical Framework of Brain Networks in Multiple Sclerosis: A Review of Concepts. Neuroscience. 403. 35–53. 101 indexed citations
12.
Koirala, Nabin, Vinzenz Fleischer, Martin Gläser, et al.. (2017). Frontal Lobe Connectivity and Network Community Characteristics are Associated with the Outcome of Subthalamic Nucleus Deep Brain Stimulation in Patients with Parkinson’s Disease. Brain Topography. 31(2). 311–321. 31 indexed citations
13.
Gracien, René‐Maxime, Sarah C. Reitz, Marlies Wagner, et al.. (2016). Comparison of two quantitative proton density mapping methods in multiple sclerosis. Magnetic Resonance Materials in Physics Biology and Medicine. 30(1). 75–83. 3 indexed citations
14.
Gracien, René‐Maxime, Alina Jurcoane, Marlies Wagner, et al.. (2016). The Relationship between Gray Matter Quantitative MRI and Disability in Secondary Progressive Multiple Sclerosis. PLoS ONE. 11(8). e0161036–e0161036. 15 indexed citations
15.
Reitz, Sarah C., Vinzenz Fleischer, Adriane Gröger, et al.. (2016). Multi-parametric quantitative MRI of normal appearing white matter in multiple sclerosis, and the effect of disease activity on T2. Brain Imaging and Behavior. 11(3). 744–753. 31 indexed citations
16.
Muthuraman, Muthuraman, Vinzenz Fleischer, Pierre Kolber, et al.. (2016). Structural Brain Network Characteristics Can Differentiate CIS from Early RRMS. Frontiers in Neuroscience. 10. 14–14. 62 indexed citations
17.
Droby, Amgad, Kenneth S.L. Yuen, Muthuraman Muthuraman, et al.. (2015). Changes in brain functional connectivity patterns are driven by an individual lesion in MS: a resting-state fMRI study. Brain Imaging and Behavior. 10(4). 1117–1126. 32 indexed citations
18.
Behrens, Marion, et al.. (2015). Structural correlates for fatigue in early relapsing remitting multiple sclerosis. European Radiology. 26(2). 515–523. 50 indexed citations
19.
Kolber, Pierre, Vinzenz Fleischer, Felix Luessi, et al.. (2015). Identification of cortical lesions using DIR and FLAIR in early stages of multiple sclerosis. Journal of Neurology. 262(6). 1473–1482. 22 indexed citations
20.
Salmen, Anke, M. Starck, Alexander Winkelmann, et al.. (2014). Lack of efficacy of mitoxantrone in primary progressive Multiple Sclerosis irrespective of pharmacogenetic factors: A multi-center, retrospective analysis. Journal of Neuroimmunology. 278. 277–279. 14 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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