Jaroslav Michálek
- Molecular Biology top 10%
- Genetics top 2%
- Cancer Research top 5%
- Immunology top 10%
- Surgery top 10%
- Co-authors
- Ondřej SlabýMarius StriogaAdas DarinskasSowmya ViswanathanRostislav VyzulaMarek SvobodaJan LepšChristoffel Venter
- Topics
- Immunotherapy and Immune Responses (18 papers)Advanced Statistical Methods and Models (9 papers)Air Quality Monitoring and Forecasting (8 papers)
- Cited by
- GeneticsCancer ResearchImmunology
- Partner nations
- CzechiaUnited StatesLithuania
In The Last Decade
Jaroslav Michálek
70 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 774
- Genetics 543
- Cancer Research 493
- Immunology 382
- Surgery 313
Countries citing papers authored by Jaroslav Michálek
This map shows the geographic impact of Jaroslav Michálek'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 Jaroslav Michálek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaroslav Michálek more than expected).
Fields of papers citing papers by Jaroslav Michálek
This network shows the impact of papers produced by Jaroslav Michálek. 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 Jaroslav Michálek. The network helps show where Jaroslav Michálek may publish in the future.
Co-authorship network of co-authors of Jaroslav Michálek
This figure shows the co-authorship network connecting the top 25 collaborators of Jaroslav Michálek. A scholar is included among the top collaborators of Jaroslav Michálek 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 Jaroslav Michálek. Jaroslav Michálek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 29 | |
| 4 | 3 | |
| 5 | Dendritic cells and their role in tumor immunosurveillance | 30 |
| 6 | 32 | |
| 7 | Same or Not the Same? Comparison of Adipose Tissue-Derived Versus Bone Marrow-Derived Mesenchymal Stem and Stromal Cellsbreakdown → | 663 |
| 8 | 33 | |
| 9 | 5 | |
| 10 | 135 | |
| 11 | 20 | |
| 12 | 59 | |
| 13 | 25 | |
| 14 | 3 | |
| 15 | 70 | |
| 16 | Hodnocení konkurenceschopnosti vybraných regionů Evropské unie | 2 |
| 17 | 0 | |
| 18 | 287 | |
| 19 | Air pollution analysis based on sparse estimates from an overcomplete model | 2 |
| 20 | 42 |
About Jaroslav Michálek
Jaroslav Michálek is a scholar working on Statistics and Probability, Immunology and Environmental Engineering, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (18 papers), Advanced Statistical Methods and Models (9 papers) and Air Quality Monitoring and Forecasting (8 papers). The work is most often cited by research in Genetics (543 citations), Cancer Research (493 citations) and Immunology (382 citations). Jaroslav Michálek has collaborated with scholars based in Czechia, United States and Lithuania. Frequent co-authors include Ondřej Slabý, Marius Strioga, Adas Darinskas, Sowmya Viswanathan, Rostislav Vyzula, Marek Svoboda, Jan Lepš, Christoffel Venter, Jiří Šáňa and Leoš Křen. Their work appears in journals such as Blood, The Journal of Immunology and Chemosphere.
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.