Vasyl Vasko

2.2k citations
38 papers · 1.7k · h-index 21

Impact in

Papers in

Vasyl Vasko

38 papers receiving 1.6k citations

Peers

Vasyl Vasko
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 882
  • Oncology 602
  • Cancer Research 293
  • Molecular Biology 659
  • Genetics 78
Replace Aneeta Patel with:
Aneeta Patel United States
Fatima Rangwala United States
Joshua Klopper United States
Valentina Sancisi Italy
Roberto E. Favoni Italy
Luis J. Leandro‐García Spain
Françoise Descôtes France
Iñigo Landa United States
Akira Komiya Japan
Filemon S. Dela Cruz United States
Vasyl Vasko relative to Aneeta Patel United States Aneeta Patel's profile →
Citations per field
00.5×1.5×
Aneeta Patel · 1×
Citations per year

Countries citing papers authored by Vasyl Vasko

Since Specialization
Citations

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

Fields of papers citing papers by Vasyl Vasko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vasyl Vasko, 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 Vasyl Vasko Line = papers co-authored together Vasyl Vasko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009430
2 2010288
3 2018108
4 201393
5 201272
6 200664
7 201251
8 201549
9 201036
10 201630
11 200929
12 201727
13 201427
14 201126
15 201026
16 202025
17 201925
18 201022
19 202022
20 202022

About Vasyl Vasko

Vasyl Vasko is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Genetics and Cancer Research, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (26 papers), Cancer-related Molecular Pathways (12 papers), Metabolism, Diabetes, and Cancer (7 papers), Genetic factors in colorectal cancer (4 papers), BRCA gene mutations in cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Head and Neck Anomalies (3 papers) and bioluminescence and chemiluminescence research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (882 citations), Oncology (602 citations), Cancer Research (293 citations), Molecular Biology (659 citations) and Genetics (78 citations). Vasyl Vasko has collaborated with scholars based in United States, Ukraine and Albania. Frequent co-authors include Motoyasu Saji, Kirk Jensen, Aneeta Patel, Joanna Kłubo-Gwieździńska, Kenneth D. Burman, Matthew D. Ringel, Paul E. Wakely, Manisha H. Shah, Michael V. Knopp and Richard T. Kloos. Their work appears in journals such as Endocrine Related Cancer, Thyroid, Cancers, Clinical Cancer Research and The Journal of Clinical Endocrinology & Metabolism.

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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