Daniel Voskas

1.3k citations
17 papers · 1.1k · h-index 9

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Angiogenesis and VEGF in Cancer
    • Developmental Biology and Gene Regulation
    • Wnt/β-catenin signaling in development and cancer
    • Congenital heart defects research
    • Renal and related cancers

Papers in

    • Angiogenesis and VEGF in Cancer 7
    • Polyamine Metabolism and Applications 5
    • Cancer-related gene regulation 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Epigenetics and DNA Methylation 2
    • Pluripotent Stem Cells Research 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Amino Acid Enzymes and Metabolism 5

Daniel Voskas

17 papers receiving 1.0k citations

Peers

Daniel Voskas
Comparison fields: 5 of 76
  • Cancer Research 270
  • Molecular Biology 795
  • Cell Biology 167
  • Oncology 235
  • Immunology and Allergy 38
Replace Mascha van Noort with:
Mascha van Noort Netherlands
Jennifer J. Kordich United States
Sean A. McCarthy United States
Xavier Desbiens France
Bu-Er Wang United States
Sana Yokoi Japan
Akira Nakagawara Japan
Silvia Volpe Italy
Mark W. Ravera United States
Kui Ming Chan Hong Kong
Daniel Voskas relative to Mascha van Noort Netherlands Mascha van Noort's profile →
Citations per field
00.5×1.5×
Mascha van Noort · 1×
Citations per year

Countries citing papers authored by Daniel Voskas

Since Specialization
Citations

This map shows the geographic impact of Daniel Voskas'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 Voskas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Voskas more than expected).

Fields of papers citing papers by Daniel Voskas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Voskas. 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 Voskas. The network helps show where Daniel Voskas may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Voskas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Voskas Line = papers co-authored together Daniel Voskas links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2005288
2 2010281
3 2005178
4 200178
5 200575
6 201053
7 200439
8 201416
9 201314
10 20068
11 20057
12 20016
13 20016
14 20084
15 20013
16 20012
17 20011

About Daniel Voskas

Daniel Voskas is a scholar working on Molecular Biology, Biochemistry, Oncology, Hematology and Pharmacology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (7 papers), Amino Acid Enzymes and Metabolism (5 papers), Polyamine Metabolism and Applications (5 papers), Cancer-related gene regulation (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Pluripotent Stem Cells Research (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cancer Research (270 citations), Molecular Biology (795 citations), Cell Biology (167 citations), Oncology (235 citations) and Immunology and Allergy (38 citations). Daniel Voskas has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Brian Ciruna, Daniel Dumont, Thomas J. Foutz, Yuval Shaked, Francesco Bertolini, Michael S. Rogers, James R. Woodgett, Jack Lawler, Robert S. Kerbel and Yaacov Ben‐David. Their work appears in journals such as Journal of Cellular Biochemistry, Cancer Cell, Biochemistry and Cell Biology, American Journal Of Pathology and Oncogene.

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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