Radek Špíšek
- Immunology top 0.2%
- Immunotherapy and Immune Responses 72
- Immune Cell Function and Interaction 50
- T-cell and B-cell Immunology 20
- Immune Response and Inflammation 10
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers 44
- CAR-T cell therapy research 17
- Physiology top 2%
- Biotechnology top 2%
- Hematology top 5%
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- RNA Interference and Gene Delivery 13
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- Endoplasmic Reticulum Stress and Disease 9
- Co-authors
- Jitka FučíkováLorenzo GalluzziGuido KroemerJiřina BartůňkováOliver KeppMadhav V. DhodapkarLaurence ZitvogelAnna Fialová
- Cited by
- ImmunologyOncologyPhysiology
- Journals
- The Journal of Experimental Medicine (1 paper)Journal of Clinical Oncology (12 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- CzechiaFranceUnited States
In The Last Decade
Radek Špíšek
130 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Immunology 4.8k
- Oncology 3.3k
- Physiology 178
- Biotechnology 304
- Hematology 350
Countries citing papers authored by Radek Špíšek
This map shows the geographic impact of Radek Špíšek'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 Radek Špíšek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radek Špíšek more than expected).
Fields of papers citing papers by Radek Špíšek
This network shows the impact of papers produced by Radek Špíšek. 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 Radek Špíšek. The network helps show where Radek Špíšek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Radek Špíšek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 15 | |
| 2 | 2023 | 55 | |
| 3 | 2023 | 43 | |
| 4 | 2022 | 31 | |
| 5 | 2021 | 33 | |
| 6 | 2019 | 3 | |
| 7 | 2019 | 89 | |
| 8 | 2019 | 13 | |
| 9 | 2018 | 120 | |
| 10 | 2018 | 144 | |
| 11 | 2017 | 25 | |
| 12 | 2016 | 10 | |
| 13 | 2015 | 32 | |
| 14 | 2015 | 44 | |
| 15 | [K-ras mutational status and tumour-infiltrating lymphocytes in human colon cancer: state of the art and future perspectives]. | 2012 | 2 |
| 16 | 2009 | 2 | |
| 17 | 2009 | 70 | |
| 18 | 2006 | 70 | |
| 19 | 2003 | 27 | |
| 20 | Induction of leukemia-specific cytotoxic response by cross-presentation of late-apoptotic leukemic blasts by autologous dendritic cells of nonleukemic origin. | 2002 | 85 |
About Radek Špíšek
Radek Špíšek is a scholar working on Immunology, Oncology and Otorhinolaryngology, having authored 134 papers that have together received 7.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (72 papers), Immune Cell Function and Interaction (50 papers), Cancer Immunotherapy and Biomarkers (44 papers), T-cell and B-cell Immunology (20 papers), CAR-T cell therapy research (17 papers), RNA Interference and Gene Delivery (13 papers), Immune Response and Inflammation (10 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). The work is most often cited by research in Immunology (4.8k citations), Oncology (3.3k citations) and Physiology (178 citations). Radek Špíšek has collaborated with scholars based in Czechia, France and United States. Frequent co-authors include Jitka Fučíková, Lorenzo Galluzzi, Guido Kroemer, Jiřina Bartůňková, Oliver Kepp, Madhav V. Dhodapkar, Laurence Zitvogel, Anna Fialová, Lenka Kašíková and Daniela Rožková. Their work appears in journals such as The Journal of Experimental Medicine, 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.