Michaela Andělová

977 total citations
37 papers, 585 citations indexed

About

Michaela Andělová is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Michaela Andělová has authored 37 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pathology and Forensic Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Molecular Biology. Recurrent topics in Michaela Andělová's work include Multiple Sclerosis Research Studies (25 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Peripheral Neuropathies and Disorders (4 papers). Michaela Andělová is often cited by papers focused on Multiple Sclerosis Research Studies (25 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Peripheral Neuropathies and Disorders (4 papers). Michaela Andělová collaborates with scholars based in Switzerland, Czechia and United States. Michaela Andělová's co-authors include Till Sprenger, Ludwig Kappos, Christoph Stippich, Tomáš Uher, Dana Horáková, Michael Amann, Yvonne Naegelin, Ernst‐Wilhelm Radue, Manuela Vaněčková and Stefano Magon and has published in prestigious journals such as PLoS ONE, Neurology and Human Brain Mapping.

In The Last Decade

Michaela Andělová

33 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Andělová Switzerland 15 390 142 106 88 81 37 585
Burcu Zeydan United States 16 360 0.9× 174 1.2× 76 0.7× 84 1.0× 101 1.2× 45 676
Teresa Costabile Italy 16 447 1.1× 186 1.3× 69 0.7× 105 1.2× 46 0.6× 34 709
Tom Fuchs United States 20 663 1.7× 220 1.5× 113 1.1× 56 0.6× 50 0.6× 54 824
Janina Behrens Germany 17 364 0.9× 288 2.0× 73 0.7× 154 1.8× 55 0.7× 40 877
Mari Heininen‐Brown United States 8 425 1.1× 124 0.9× 156 1.5× 103 1.2× 33 0.4× 13 577
David Paling United Kingdom 14 446 1.1× 179 1.3× 146 1.4× 94 1.1× 24 0.3× 35 732
Viola Biberacher Germany 13 292 0.7× 139 1.0× 169 1.6× 59 0.7× 39 0.5× 15 567
Sindhuja Tirumalai Govindarajan United States 13 364 0.9× 101 0.7× 241 2.3× 81 0.9× 106 1.3× 21 690
Monica Margoni Italy 16 399 1.0× 209 1.5× 120 1.1× 55 0.6× 27 0.3× 55 616
Giulia Longoni Canada 14 420 1.1× 420 3.0× 122 1.2× 48 0.5× 105 1.3× 34 787

Countries citing papers authored by Michaela Andělová

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Andělová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Andělová

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Andělová. A scholar is included among the top collaborators of Michaela Andělová 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 Michaela Andělová. Michaela Andělová 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.
Andělová, Michaela, Jan Krásenský, Tomáš Uher, et al.. (2024). Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis. Journal of Neurology. 271(9). 5944–5957.
2.
Andělová, Michaela, et al.. (2023). Internal comorbidities and complications of multiple sclerosis therapy -don't be caught off guard!. Vnitřní lékařství. 69(5). 294–298.
3.
Gloor, M, Michaela Andělová, Laura Gaetano, et al.. (2023). Longitudinal analysis of new multiple sclerosis lesions with magnetization transfer and diffusion tensor imaging. European Radiology. 34(3). 1680–1691. 5 indexed citations
4.
Vaněčková, Manuela, Michaela Andělová, Jan Krásenský, et al.. (2022). Periventricular gradient of T1 tissue alterations in multiple sclerosis. NeuroImage Clinical. 34. 103009–103009. 14 indexed citations
5.
Andělová, Michaela, Jan Krásenský, Tereza Hrnčiarová, et al.. (2022). Brainstem lesions are associated with diffuse spinal cord involvement in early multiple sclerosis. BMC Neurology. 22(1). 270–270. 2 indexed citations
6.
Novotná, Klára, et al.. (2022). Validation of the Czech Version of the Dysphagia in Multiple Sclerosis Questionnaire (DYMUS). Dysphagia. 38(4). 1087–1095. 1 indexed citations
7.
Andělová, Michaela, Mário João Fartaria, Bénédicte Maréchal, et al.. (2021). Validating atlas-based lesion disconnectomics in multiple sclerosis: A retrospective multi-centric study. NeuroImage Clinical. 32. 102817–102817. 7 indexed citations
8.
Hilbert, Tom, Manuela Vaněčková, Jan Krásenský, et al.. (2020). Quantitative t(1) deviations in brain lesions and nawm improve the clinico-radiological correlation in early ms. Multiple Sclerosis Journal. 26. 418–418.
9.
Andělová, Michaela, Tomáš Uher, Jan Krásenský, et al.. (2019). Atlas-based tract damage mapping improves 4-year forecast of EDSS in multiple sclerosis. Multiple Sclerosis Journal. 25. 182–183. 1 indexed citations
10.
Andělová, Michaela, Tomáš Uher, Jan Krásenský, et al.. (2019). Additive Effect of Spinal Cord Volume, Diffuse and Focal Cord Pathology on Disability in Multiple Sclerosis. Frontiers in Neurology. 10. 820–820. 14 indexed citations
11.
Sinnecker, Tim, Michaela Andělová, Michael Mayr, et al.. (2019). Diagnosis of adult-onset MELAS syndrome in a 63-year-old patient with suspected recurrent strokes – a case report. BMC Neurology. 19(1). 91–91. 23 indexed citations
12.
Rusz, Jan, Barbora Srpová, Michaela Andělová, et al.. (2019). Slowed articulation rate is associated with information processing speed decline in multiple sclerosis: A pilot study. Journal of Clinical Neuroscience. 65. 28–33. 16 indexed citations
13.
Rusz, Jan, Manuela Vaněčková, Tereza Tykalová, et al.. (2019). Brain volumetric correlates of dysarthria in multiple sclerosis. Brain and Language. 194(31). 58–64. 26 indexed citations
14.
Hagens, Marloes, Jessica Burggraaff, Iris D. Kilsdonk, et al.. (2018). Three-Tesla MRI does not improve the diagnosis of multiple sclerosis. Neurology. 91(3). e249–e257. 31 indexed citations
15.
Preiningerová, Jana Lízrová, et al.. (2018). Do eyes with and without optic neuritis in multiple sclerosis age equally?. Neuropsychiatric Disease and Treatment. Volume 14. 2281–2285. 5 indexed citations
16.
Andělová, Michaela, Jan Krásenský, Niels Bergsland, et al.. (2018). Brain Volume Increase in Multiple Sclerosis Patients (P3.362). Neurology. 90(15_supplement). 1 indexed citations
17.
Amann, Michael, Simon Pezold, Yvonne Naegelin, et al.. (2016). Reliable volumetry of the cervical spinal cord in MS patient follow-up data with cord image analyzer (Cordial). Journal of Neurology. 263(7). 1364–1374. 13 indexed citations
18.
Rasenack, Maria, Jonathan Rychen, Michaela Andělová, et al.. (2016). Efficacy and Safety of Fingolimod in an Unselected Patient Population. PLoS ONE. 11(1). e0146190–e0146190. 15 indexed citations
19.
20.
Niazi, Asfandyar Khan, Michaela Andělová, & Till Sprenger. (2013). Is the migrainous brain normal outside of acute attacks? Lessons learned from psychophysical, neurochemical and functional neuroimaging studies. Expert Review of Neurotherapeutics. 13(9). 1061–1067. 8 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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