Ivan Raška

933 citations
36 papers · 718 indexed · h-index 16
Topics
Computational Drug Discovery Methods (16 papers)Bone health and osteoporosis research (7 papers)Analytical Chemistry and Chromatography (6 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe EMBO Journal
Partner nations
CzechiaItalyUzbekistan

In The Last Decade

Ivan Raška

36 papers receiving 708 citations

Peers

Ivan Raška
Comparison fields: 5 of 109
  • Molecular Biology 314
  • Computational Theory and Mathematics 240
  • Orthopedics and Sports Medicine 87
  • Oncology 86
  • Organic Chemistry 86
Replace H M Rubinstein with:
H M Rubinstein United States
Masaki Fujieda Japan
Marc Ouellet Canada
Osamu Sugita Japan
T. Noguchi Japan
Massimo Bertinaria Italy
Szilvia Mészáros Hungary
Shohei Higuchi Japan
Hiroshi Komura Japan
Yuming Wang China
Ivan Raška relative to H M Rubinstein United States H M Rubinstein's profile →
Citations per field
00.5×10×13×
H M Rubinstein · 1×
Citations per year

Countries citing papers authored by Ivan Raška

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Raška

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Raška

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Raška. A scholar is included among the top collaborators of Ivan Raška 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 Ivan Raška. Ivan Raška 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 2
2 15
3 47
4 29
5 11
6 8
7 16
8 27
9 3
10 14
11 61
12 39
13 12
14 40
15 48
16 36
17 67
18 32
19 24
20 8

About Ivan Raška

Ivan Raška is a scholar working on Computational Theory and Mathematics, Orthopedics and Sports Medicine and Spectroscopy, having authored 36 papers that have together received 718 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Bone health and osteoporosis research (7 papers) and Analytical Chemistry and Chromatography (6 papers). The work is most often cited by research in Computational Theory and Mathematics (240 citations), Orthopedics and Sports Medicine (87 citations) and Nephrology (43 citations). Ivan Raška has collaborated with scholars based in Czechia, Italy and Uzbekistan. Frequent co-authors include Andrey A. Toropov, Alla P. Toropova, Vı́t Zikán, Cécile Rochette‐Egly, Maurizio Gianni’, Enrico Garattini, Edoardo Parrella, Dana Michalská, Aleš Kuběna and Danuta Leszczyńska. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The EMBO Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026