Jan Novák
- Immunology top 5%
- Genetics top 2%
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Genetics top 10%
- Co-authors
- Agnès LehuenLucie BeaudoinLucie NovákováThibault GriseriTomáš KozákVéronique LalouxBruno LucasMartin Šimkovič
- Topics
- Immune Cell Function and Interaction (18 papers)T-cell and B-cell Immunology (15 papers)Diabetes and associated disorders (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- CzechiaUnited StatesFrance
In The Last Decade
Jan Novák
57 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 805
- Genetics 487
- Pathology and Forensic Medicine 440
- Molecular Biology 238
- Genetics 237
Countries citing papers authored by Jan Novák
This map shows the geographic impact of Jan Novák'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 Novák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Novák more than expected).
Fields of papers citing papers by Jan Novák
This network shows the impact of papers produced by Jan Novák. 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 Novák. The network helps show where Jan Novák may publish in the future.
Co-authorship network of co-authors of Jan Novák
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Novák. A scholar is included among the top collaborators of Jan Novák 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 Novák. Jan Novák 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 | 0 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | Ibrutinib plus obinutuzumab versus chlorambucil plus obinutuzumab in first-line treatment of chronic lymphocytic leukaemia (iLLUMINATE): a multicentre, randomised, open-label, phase 3 trialbreakdown → | 380 |
| 7 | 2 | |
| 8 | 64 | |
| 9 | 52 | |
| 10 | 28 | |
| 11 | 45 | |
| 12 | 22 | |
| 13 | 47 | |
| 14 | 28 | |
| 15 | 11 | |
| 16 | 4 | |
| 17 | 43 | |
| 18 | 132 | |
| 19 | Prognostický význam imunohistochemického stanovení p53 ve tkáni povrchových nádorů močového měchýře | 0 |
| 20 | 37 |
About Jan Novák
Jan Novák is a scholar working on Genetics, Immunology and Ophthalmology, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (15 papers) and Diabetes and associated disorders (11 papers). The work is most often cited by research in Genetics (487 citations), Immunology (805 citations) and Pathology and Forensic Medicine (440 citations). Jan Novák has collaborated with scholars based in Czechia, United States and France. Frequent co-authors include Agnès Lehuen, Lucie Beaudoin, Lucie Nováková, Thibault Griseri, Tomáš Kozák, Véronique Laloux, Bruno Lucas, Martin Šimkovič, Carol Moreno and Fatih Demırkan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.