Daniel Vodák
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
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- Cancer Immunotherapy and Biomarkers
Papers in
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- Protein Degradation and Inhibitors 2
- Melanoma and MAPK Pathways 2
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- Cancer Genomics and Diagnostics 8
- Co-authors
- Eivind Hovig (20 shared papers)Ola Myklebost (12 shared papers)Leonardo A. Meza‐Zepeda (12 shared papers)Sigve Nakken (15 shared papers)Susanne Lorenz (3 shared papers)Jinchang Sun (2 shared papers)Mohammed‐Amin Madoui (1 shared paper)Chandra Sekhar Reddy Chilamakuri (1 shared paper)
- Journals
- Blood (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Blood Cancer Journal (1 paper)BMC Genomics (1 paper)
- Partner nations
- NorwayUnited KingdomGermany
In The Last Decade
Daniel Vodák
22 papers receiving 584 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 166
- Oncology 126
- Immunology 98
- Molecular Biology 286
- Genetics 105
Countries citing papers authored by Daniel Vodák
This map shows the geographic impact of Daniel Vodák'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 Daniel Vodák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Vodák more than expected).
Fields of papers citing papers by Daniel Vodák
This network shows the impact of papers produced by Daniel Vodák. 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 Daniel Vodák. The network helps show where Daniel Vodák may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Vodák, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 115 | |
| 2 | 2016 | 76 | |
| 3 | 2016 | 62 | |
| 4 | 2015 | 61 | |
| 5 | 2018 | 43 | |
| 6 | 2017 | 33 | |
| 7 | 2015 | 32 | |
| 8 | 2021 | 31 | |
| 9 | 2015 | 27 | |
| 10 | 2017 | 23 | |
| 11 | 2018 | 16 | |
| 12 | 2019 | 12 | |
| 13 | 2017 | 12 | |
| 14 | 2018 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2018 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2016 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2017 | 4 |
About Daniel Vodák
Daniel Vodák is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 592 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Genomics and Rare Diseases (3 papers), BRCA gene mutations in cancer (3 papers), Genetic factors in colorectal cancer (3 papers), Immunotherapy and Immune Responses (2 papers), Protein Degradation and Inhibitors (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Cancer Research (166 citations), Oncology (126 citations), Immunology (98 citations), Molecular Biology (286 citations) and Genetics (105 citations). Daniel Vodák has collaborated with scholars based in Norway, United Kingdom and Germany. Frequent co-authors include Eivind Hovig, Ola Myklebost, Leonardo A. Meza‐Zepeda, Sigve Nakken, Susanne Lorenz, Jinchang Sun, Mohammed‐Amin Madoui, Chandra Sekhar Reddy Chilamakuri, Ian G. Mills and Hing Y. Leung. Their work appears in journals such as Blood, Scientific Reports, Nature Communications, Blood Cancer Journal and BMC Genomics.
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.