Jan Krásenský

3.0k total citations
87 papers, 2.2k citations indexed

About

Jan Krásenský is a scholar working on Pathology and Forensic Medicine, Rheumatology and Neurology. According to data from OpenAlex, Jan Krásenský has authored 87 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Pathology and Forensic Medicine, 27 papers in Rheumatology and 19 papers in Neurology. Recurrent topics in Jan Krásenský's work include Multiple Sclerosis Research Studies (63 papers), Systemic Lupus Erythematosus Research (22 papers) and Peripheral Neuropathies and Disorders (12 papers). Jan Krásenský is often cited by papers focused on Multiple Sclerosis Research Studies (63 papers), Systemic Lupus Erythematosus Research (22 papers) and Peripheral Neuropathies and Disorders (12 papers). Jan Krásenský collaborates with scholars based in Czechia, United States and Italy. Jan Krásenský's co-authors include Manuela Vaněčková, Dana Horáková, Zdeněk Seidl, Eva Havrdová, Robert Zivadinov, Niels Bergsland, Michaela Týblová, Tomáš Uher, Michael G. Dwyer and Tomáš Kalinčík and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Jan Krásenský

83 papers receiving 2.2k citations

Peers

Jan Krásenský
Lisanne J. Balk Netherlands
Deepa P. Ramasamy United States
Robert Bermel United States
Eric C. Klawiter United States
Jan Krásenský
Citations per year, relative to Jan Krásenský Jan Krásenský (= 1×) peers Šarlota Mesaroš

Countries citing papers authored by Jan Krásenský

Since Specialization
Citations

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

Fields of papers citing papers by Jan Krásenský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Krásenský

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Krásenský. A scholar is included among the top collaborators of Jan Krásenský 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 Jan Krásenský. Jan Krásenský 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.
Uher, Tomáš, Pavlína Kleinová, Manuela Vaněčková, et al.. (2025). Serum bilirubin concentrations and their association with clinical and radiological outcomes in multiple sclerosis: A large cohort study. Annals of Hepatology. 31(1). 102117–102117.
2.
Lőrincz, Balázs B., Jan Krásenský, Tobias Kober, et al.. (2024). Lipid measures are associated with cognitive functioning in multiple sclerosis patients. Multiple Sclerosis and Related Disorders. 91. 105879–105879. 1 indexed citations
3.
Lőrincz, Balázs B., Michal Vráblík, Eva Havrdová, et al.. (2024). Lipid and brain volumetric measures in multiple sclerosis patients: findings from a large observational study. Acta Neurologica Belgica. 124(6). 1981–1988. 1 indexed citations
4.
Burgetová, Andrea, Petr Dušek, Tomáš Uher, et al.. (2023). CSF Markers of Oxidative Stress Are Associated with Brain Atrophy and Iron Accumulation in a 2-Year Longitudinal Cohort of Early MS. International Journal of Molecular Sciences. 24(12). 10048–10048. 3 indexed citations
5.
Vaněčková, Manuela, Tom Fuchs, Jan Krásenský, et al.. (2023). Brain MRI disease burden and sex differences in cognitive performance of patients with multiple sclerosis. Acta Neurologica Belgica. 124(1). 109–118. 7 indexed citations
6.
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
7.
Burgetová, Andrea, Petr Dušek, Petra Nytrová, et al.. (2020). Deep Gray Matter Iron Content in Neuromyelitis Optica and Multiple Sclerosis. BioMed Research International. 2020(1). 6492786–6492786. 18 indexed citations
8.
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
9.
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
10.
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
11.
Burgetová, Andrea, Petr Dušek, Manuela Vaněčková, et al.. (2017). Thalamic Iron Differentiates Primary-Progressive and Relapsing-Remitting Multiple Sclerosis. American Journal of Neuroradiology. 38(6). 1079–1086. 33 indexed citations
12.
Browne, Richard W., B. Weinstock‐Guttman, Dana Horáková, et al.. (2014). Apolipoproteins are associated with new MRI lesions and deep grey matter atrophy in clinically isolated syndromes. Journal of Neurology Neurosurgery & Psychiatry. 85(8). 859–864. 37 indexed citations
13.
Uher, Tomáš, Dana Horáková, Niels Bergsland, et al.. (2014). Longitudinal MRI and neuropsychological assessment of patients with clinically isolated syndrome. Journal of Neurology. 261(9). 1735–1744. 41 indexed citations
14.
Kalinčík, Tomáš, Charles R.G. Guttmann, Jan Krásenský, et al.. (2013). Multiple sclerosis susceptibility loci do not alter clinical and MRI outcomes in clinically isolated syndrome. Genes and Immunity. 14(4). 244–248. 17 indexed citations
15.
Bergsland, Niels, Dana Horáková, Michael G. Dwyer, et al.. (2012). Subcortical and Cortical Gray Matter Atrophy in a Large Sample of Patients with Clinically Isolated Syndrome and Early Relapsing-Remitting Multiple Sclerosis. American Journal of Neuroradiology. 33(8). 1573–1578. 130 indexed citations
16.
Kalinčík, Tomáš, Dana Horáková, Ondřej Doležal, et al.. (2012). Interferon, azathioprine and corticosteroids in multiple sclerosis: 6-year follow-up of the ASA cohort. Clinical Neurology and Neurosurgery. 114(7). 940–946. 16 indexed citations
17.
Kalinčík, Tomáš, Manuela Vaněčková, Michaela Týblová, et al.. (2012). Volumetric MRI Markers and Predictors of Disease Activity in Early Multiple Sclerosis: A Longitudinal Cohort Study. PLoS ONE. 7(11). e50101–e50101. 66 indexed citations
18.
Landor, I., et al.. (2011). Total Elbow Replacement in Patients with Rheumatoid Arthritis. Acta chirurgiae orthopaedicae et traumatologiae Cechoslovaca. 78(5). 423–430. 4 indexed citations
19.
Horáková, Dana, Robert Zivadinov, Bianca Weinstock‐Guttman, et al.. (2011). HLA DRB1*1501 is only modestly associated with lesion burden at the first demyelinating event. Journal of Neuroimmunology. 236(1-2). 76–80. 14 indexed citations
20.
Horáková, Dana, Michal Kýr, Eva Havrdová, et al.. (2010). Apolipoprotein E ε4-Positive Multiple Sclerosis Patients Develop More Gray-Matter and Whole-Brain Atrophy: a 15-Year Disease History Model Based on a 4-Year Longitudinal Study. Folia Biologica. 56(6). 242–251. 7 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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