Ivan Raška
Impact in
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- Computational Drug Discovery Methods
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
Papers in
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- Computational Drug Discovery Methods 16
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- Retinoids in leukemia and cellular processes 6
- Protein Structure and Dynamics 2
- Co-authors
- Andrey A. Toropov (16 shared papers)Alla P. Toropova (11 shared papers)Vı́t Zikán (8 shared papers)Maurizio Gianni’ (4 shared papers)Enrico Garattini (4 shared papers)Cécile Rochette‐Egly (4 shared papers)Aleš Kuběna (3 shared papers)Edoardo Parrella (3 shared papers)
- Journals
- Physiological Research (3 papers)European Journal of Medicinal Chemistry (3 papers)Computers in Biology and Medicine (2 papers)Nutrition (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- CzechiaItalyUzbekistan
In The Last Decade
Ivan Raška
36 papers receiving 716 citations
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 236
- Orthopedics and Sports Medicine 75
- Nephrology 40
- Molecular Biology 302
- Endocrine and Autonomic Systems 25
Countries citing papers authored by Ivan Raška
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
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-authors
The 25 scholars most cited alongside Ivan Raška, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 67 | |
| 2 | 2013 | 61 | |
| 3 | 2009 | 48 | |
| 4 | 2019 | 47 | |
| 5 | 2010 | 41 | |
| 6 | 2012 | 41 | |
| 7 | 2007 | 36 | |
| 8 | 2011 | 34 | |
| 9 | 2006 | 32 | |
| 10 | 2017 | 31 | |
| 11 | 2012 | 29 | |
| 12 | 2015 | 27 | |
| 13 | 2006 | 25 | |
| 14 | 2006 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2009 | 15 | |
| 18 | 2013 | 14 | |
| 19 | 2012 | 14 | |
| 20 | 2010 | 12 |
About Ivan Raška
Ivan Raška is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Orthopedics and Sports Medicine and Organic Chemistry, having authored 36 papers that have together received 726 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Retinoids in leukemia and cellular processes (6 papers), Bone health and osteoporosis research (6 papers), Analytical Chemistry and Chromatography (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Free Radicals and Antioxidants (4 papers), interferon and immune responses (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (236 citations), Orthopedics and Sports Medicine (75 citations), Nephrology (40 citations), Molecular Biology (302 citations) and Endocrine and Autonomic Systems (25 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, Maurizio Gianni’, Enrico Garattini, Cécile Rochette‐Egly, Aleš Kuběna, Edoardo Parrella, Dana Michalská and J Škrha. Their work appears in journals such as Physiological Research, European Journal of Medicinal Chemistry, Computers in Biology and Medicine, Nutrition and Frontiers in Cell and Developmental Biology.
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.