Daniel Vodák

1.6k total citations
23 papers, 584 citations indexed

About

Daniel Vodák is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Daniel Vodák has authored 23 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Daniel Vodák's work include Cancer Genomics and Diagnostics (11 papers), Genomics and Rare Diseases (5 papers) and BRCA gene mutations in cancer (3 papers). Daniel Vodák is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Genomics and Rare Diseases (5 papers) and BRCA gene mutations in cancer (3 papers). Daniel Vodák collaborates with scholars based in Norway, United Kingdom and Germany. Daniel Vodák's co-authors include Eivind Hovig, Ola Myklebost, Leonardo A. Meza‐Zepeda, Sigve Nakken, Susanne Lorenz, Jinchang Sun, Chandra Sekhar Reddy Chilamakuri, Mohammed‐Amin Madoui, Ian G. Mills and David J. Elliott and has published in prestigious journals such as Nature Communications, Blood and Bioinformatics.

In The Last Decade

Daniel Vodák

22 papers receiving 574 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Vodák Norway 13 332 194 159 120 114 23 584
Rosanna Lacalamita Italy 15 358 1.1× 233 1.2× 223 1.4× 97 0.8× 130 1.1× 30 647
Lee Wisner United States 8 216 0.7× 86 0.4× 194 1.2× 88 0.7× 50 0.4× 21 544
Shaokun Shu China 11 330 1.0× 167 0.9× 208 1.3× 58 0.5× 33 0.3× 18 575
Peter Čamaj Germany 16 507 1.5× 279 1.4× 355 2.2× 78 0.7× 76 0.7× 22 788
Marc Payton United States 10 429 1.3× 112 0.6× 269 1.7× 65 0.5× 138 1.2× 17 613
Shelly Gunn United States 12 445 1.3× 162 0.8× 298 1.9× 91 0.8× 154 1.4× 28 814
Vinod Vathipadiekal United States 16 709 2.1× 301 1.6× 286 1.8× 139 1.2× 49 0.4× 23 1.2k
Archontoula Stoffel United States 12 548 1.7× 166 0.9× 259 1.6× 80 0.7× 101 0.9× 15 826
Alexander Polyzos Greece 14 744 2.2× 188 1.0× 157 1.0× 68 0.6× 66 0.6× 25 952
Heiko Maacke Switzerland 14 656 2.0× 127 0.7× 493 3.1× 152 1.3× 59 0.5× 21 902

Countries citing papers authored by Daniel Vodák

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Vodák

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Vodák. A scholar is included among the top collaborators of Daniel Vodák 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 Daniel Vodák. Daniel Vodák is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Namløs, Heidi M., Sigve Nakken, Daniel Vodák, et al.. (2023). Chromosomal instability and a deregulated cell cycle are intrinsic features of high‐risk gastrointestinal stromal tumours with a metastatic potential. Molecular Oncology. 17(11). 2432–2450. 1 indexed citations
2.
Deng, Wei, Jürgen Geisler, Stephanie Geisler, et al.. (2022). Clonal evolution in primary breast cancers under sequential epirubicin and docetaxel monotherapy. Genome Medicine. 14(1). 86–86. 10 indexed citations
3.
Holien, Toril, Kristine Misund, Sigve Nakken, et al.. (2022). Mutational analysis and protein profiling predict drug sensitivity in multiple myeloma cell lines. Frontiers in Oncology. 12. 1040730–1040730. 5 indexed citations
4.
Inderberg, Else Marit, Wenche Rasch, Steinar Aamdal, et al.. (2021). Combining a Universal Telomerase Based Cancer Vaccine With Ipilimumab in Patients With Metastatic Melanoma - Five-Year Follow Up of a Phase I/IIa Trial. Frontiers in Immunology. 12. 663865–663865. 30 indexed citations
5.
Dominguez–Valentin, Mev, Sigve Nakken, Hélène Tubeuf, et al.. (2019). Results of multigene panel testing in familial cancer cases without genetic cause demonstrated by single gene testing. Scientific Reports. 9(1). 18555–18555. 12 indexed citations
6.
Dominguez–Valentin, Mev, Sigve Nakken, Hélène Tubeuf, et al.. (2018). Identification of genetic variants for clinical management of familial colorectal tumors. BMC Medical Genetics. 19(1). 26–26. 16 indexed citations
7.
Vodák, Daniel, Susanne Lorenz, Sigve Nakken, et al.. (2018). Sample-Index Misassignment Impacts Tumour Exome Sequencing. Scientific Reports. 8(1). 5307–5307. 10 indexed citations
8.
Geisler, Jürgen, Sigve Nakken, Daniel Vodák, et al.. (2018). Patterns of genomic evolution in advanced melanoma. Nature Communications. 9(1). 2665–2665. 43 indexed citations
9.
Dominguez–Valentin, Mev, D. Gareth Evans, Sigve Nakken, et al.. (2018). Genetic variants of prospectively demonstrated phenocopies in BRCA1/2 kindreds. Hereditary Cancer in Clinical Practice. 16(1). 4–4. 7 indexed citations
10.
Nakken, Sigve, et al.. (2017). Personal Cancer Genome Reporter: variant interpretation report for precision oncology. Bioinformatics. 34(10). 1778–1780. 31 indexed citations
11.
Namløs, Heidi M., Olga Zaikova, Bodil Bjerkehagen, et al.. (2017). Use of liquid biopsies to monitor disease progression in a sarcoma patient: a case report. BMC Cancer. 17(1). 29–29. 23 indexed citations
12.
Domańska, Diana, et al.. (2017). The rainfall plot: its motivation, characteristics and pitfalls. BMC Bioinformatics. 18(1). 264–264. 3 indexed citations
13.
Helland, Åslaug, O.T. Brustugun, Sigve Nakken, et al.. (2017). High number of kinome‐mutations in non‐small cell lung cancer is associated with reduced immune response and poor relapse‐free survival. International Journal of Cancer. 141(1). 184–190. 6 indexed citations
14.
Dominguez–Valentin, Mev, Sigve Nakken, Hélène Tubeuf, et al.. (2017). Potentially pathogenic germline CHEK2 c.319+2T>A among multiple early-onset cancer families. Familial Cancer. 17(1). 141–153. 12 indexed citations
15.
Munkley, Jennifer, Daniel Vodák, Karen E. Livermore, et al.. (2016). Glycosylation is an Androgen-Regulated Process Essential for Prostate Cancer Cell Viability. EBioMedicine. 8. 103–116. 75 indexed citations
16.
Haugvik, Sven‐Petter, Daniel Vodák, Lisbeth Haugom, et al.. (2016). Transcriptomic Profiling of Tumor Aggressiveness in Sporadic Nonfunctioning Pancreatic Neuroendocrine Neoplasms. Pancreas. 45(8). 1196–1203. 5 indexed citations
17.
Halvorsen, Ann Rita, Laxmi Silwal‐Pandit, Leonardo A. Meza‐Zepeda, et al.. (2016). TP53 Mutation Spectrum in Smokers and Never Smoking Lung Cancer Patients. Frontiers in Genetics. 7. 85–85. 58 indexed citations
18.
Sevilla, Lisa M., Víctor Latorre, Elena Carceller, et al.. (2015). Glucocorticoid receptor and Klf4 co-regulate anti-inflammatory genes in keratinocytes. Molecular and Cellular Endocrinology. 412. 281–289. 27 indexed citations
19.
Munkley, Jennifer, Sebastian Oltean, Daniel Vodák, et al.. (2015). The androgen receptor controls expression of the cancer-associated sTn antigen and cell adhesion through induction of ST6GalNAc1 in prostate cancer. Oncotarget. 6(33). 34358–34374. 62 indexed citations
20.
Chilamakuri, Chandra Sekhar Reddy, Susanne Lorenz, Mohammed‐Amin Madoui, et al.. (2014). Performance comparison of four exome capture systems for deep sequencing. BMC Genomics. 15(1). 449–449. 115 indexed citations

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.

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