Jan Žaloudík
- Molecular Biology
- Oncology top 5%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research top 10%
- Co-authors
- Dorothee HerlynJan KovaříkRajasekharan SomasundaramMichael A. SheardBořivoj VojtěšekLutz JacobMichael G. MooreLadislav Dušek
- Topics
- Immunotherapy and Immune Responses (20 papers)Monoclonal and Polyclonal Antibodies Research (12 papers)Cancer Genomics and Diagnostics (6 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- The Journal of ImmunologyAnnals of the New York Academy of SciencesBritish Journal of Cancer
- Partner nations
- CzechiaUnited StatesUnited Kingdom
In The Last Decade
Jan Žaloudík
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 582
- Oncology 523
- Immunology 479
- Radiology, Nuclear Medicine and Imaging 289
- Cancer Research 205
Countries citing papers authored by Jan Žaloudík
This map shows the geographic impact of Jan Žaloudík'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 Žaloudík with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Žaloudík more than expected).
Fields of papers citing papers by Jan Žaloudík
This network shows the impact of papers produced by Jan Žaloudík. 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 Žaloudík. The network helps show where Jan Žaloudík may publish in the future.
Co-authorship network of co-authors of Jan Žaloudík
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Žaloudík. A scholar is included among the top collaborators of Jan Žaloudík 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 Žaloudík. Jan Žaloudík is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Identifikace potenciálních biomarkerů karcinomů prsu metodouSELDI-TOF MS | 0 |
| 2 | 4 | |
| 3 | The National Web Portal for Cancer Epidemiology in the Czech Republic. | 1 |
| 4 | 4 | |
| 5 | 34 | |
| 6 | 19 | |
| 7 | 7 | |
| 8 | [In vitro testing for drug resistance and drug sensitivity in clinical oncology]. | 1 |
| 9 | 11 | |
| 10 | 22 | |
| 11 | 27 | |
| 12 | 38 | |
| 13 | 106 | |
| 14 | 8 | |
| 15 | 15 | |
| 16 | 16 | |
| 17 | 61 | |
| 18 | 40 | |
| 19 | 15 | |
| 20 | 16 |
About Jan Žaloudík
Jan Žaloudík is a scholar working on Immunology, Oncology and Cancer Research, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (20 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and Cancer Genomics and Diagnostics (6 papers). The work is most often cited by research in Immunology (479 citations), Oncology (523 citations) and Cancer Research (205 citations). Jan Žaloudík has collaborated with scholars based in Czechia, United States and United Kingdom. Frequent co-authors include Dorothee Herlyn, Jan Kovařík, Rajasekharan Somasundaram, Michael A. Sheard, Bořivoj Vojtěšek, Lutz Jacob, Michael G. Moore, Ladislav Dušek, Igor Vořechovský and Haruhiko Maruyama. Their work appears in journals such as The Journal of Immunology, Annals of the New York Academy of Sciences and British Journal of Cancer.
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.