Jan Krásenský

3.0k citations
87 papers · 2.2k indexed · h-index 28
Topics
Multiple Sclerosis Research Studies (63 papers)Systemic Lupus Erythematosus Research (22 papers)Peripheral Neuropathies and Disorders (12 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeurology

In The Last Decade

Jan Krásenský

83 papers receiving 2.2k citations

Peers

Jan Krásenský
Comparison fields: 5 of 107
  • Pathology and Forensic Medicine 1.6k
  • Neurology 621
  • Rheumatology 481
  • Radiology, Nuclear Medicine and Imaging 440
  • Molecular Biology 336
Replace Šarlota Mesaroš with:
Šarlota Mesaroš Serbia
Lisanne J. Balk Netherlands
Deepa P. Ramasamy United States
Eric C. Klawiter United States
Maria Laura Stromillo Italy
Sara Llufriú Spain
Carsten Lukas Germany
Robert Bermel United States
Andreas Lutterotti Austria
Irina Malikova France
Jan Krásenský relative to Šarlota Mesaroš Serbia Šarlota Mesaroš's profile →
Citations per field
00.5×1.5×2.5×
Šarlota Mesaroš · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 1
4 3
5 7
6 14
7 18
8
Atlas-based tract damage mapping improves 4-year forecast of EDSS in multiple sclerosis
1
9 14
10 1
11 33
12 37
13 41
14 17
15 130
16 16
17 66
18 4
19 14
20 7

About Jan Krásenský

Jan Krásenský is a scholar working on Pathology and Forensic Medicine, Rheumatology and Neurology, having authored 87 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (63 papers), Systemic Lupus Erythematosus Research (22 papers) and Peripheral Neuropathies and Disorders (12 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.6k citations), Neurology (621 citations) and Rheumatology (481 citations). Jan Krásenský has collaborated with scholars based in Czechia, United States and Italy. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

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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