Daniel Vodák
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
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- Cancer Genomics and Diagnostics 8
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- Genetic factors in colorectal cancer 3
- Co-authors
- Eivind J. 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
- Scientific Reports (2 papers)Blood (2 papers)BMC Genomics (1 paper)Molecular and Cellular Endocrinology (1 paper)EBioMedicine (1 paper)
- Partner nations
- NorwayUnited KingdomFrance
In The Last Decade
Daniel Vodák
23 papers receiving 628 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 181
- Oncology 131
- Immunology 100
- Molecular Biology 313
- Genetics 116
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 125 | |
| 2 | 2016 | 77 | |
| 3 | 2015 | 66 | |
| 4 | 2016 | 65 | |
| 5 | 2018 | 44 | |
| 6 | 2017 | 38 | |
| 7 | 2015 | 33 | |
| 8 | 2021 | 33 | |
| 9 | 2015 | 27 | |
| 10 | 2017 | 23 | |
| 11 | 2018 | 18 | |
| 12 | 2018 | 16 | |
| 13 | 2019 | 14 | |
| 14 | 2017 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2018 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2016 | 5 | |
| 20 | 2022 | 5 |
About Daniel Vodák
Daniel Vodák is a scholar working on Cancer Research, Pathology and Forensic Medicine, Molecular Biology, Genetics and Hematology, having authored 24 papers that have together received 641 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Genomics and Rare Diseases (3 papers), Genetic factors in colorectal cancer (3 papers), BRCA gene mutations in cancer (3 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Degradation and Inhibitors (2 papers), Multiple Myeloma Research and Treatments (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (181 citations), Oncology (131 citations), Immunology (100 citations), Molecular Biology (313 citations) and Genetics (116 citations). Daniel Vodák has collaborated with scholars based in Norway, United Kingdom and France. Frequent co-authors include Eivind J. Hovig, Ola Myklebost, Leonardo A. Meza‐Zepeda, Sigve Nakken, Susanne Lorenz, Jinchang Sun, Mohammed‐Amin Madoui, Chandra Sekhar Reddy Chilamakuri, Ian Geoffrey Mills and Jennifer Munkley. Their work appears in journals such as Scientific Reports, Blood, BMC Genomics, Molecular and Cellular Endocrinology and EBioMedicine.
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.