Vidar Skaug

6.7k citations
94 papers · 3.4k · h-index 34

Impact in

Papers in

Vidar Skaug

94 papers receiving 3.4k citations

Peers

Vidar Skaug
Comparison fields: 5 of 151
  • Cancer Research 911
  • Chemical Health and Safety 23
  • Health, Toxicology and Mutagenesis 424
  • Oncology 713
  • Molecular Biology 1.7k
Replace Ruth M. Lunn with:
Ruth M. Lunn United States
Kristen J. Nikula United States
Daniel L. Morgan United States
Ľudmila Vodičková Czechia
Yang Bai China
Linda M. Sargent United States
Qunwei Zhang United States
Akihiko Maekawa Japan
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Citations per field
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Citations per year

Countries citing papers authored by Vidar Skaug

Since Specialization
Citations

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

Fields of papers citing papers by Vidar Skaug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005335
2 2011157
3 1996145
4 1991136
5 2016126
6 2006124
7 2004115
8 2006113
9 2008103
10 2009101
11
p53 mutations in lung tumors: relationship to putative susceptibility markers for cancer.
199485
12 200983
13 201282
14 201779
15
p53 mutations in defined structural and functional domains are related to poor clinical outcome in non-small cell lung cancer patients.
200074
16 201872
17 200967
18 201062
19 198561
20 201057

About Vidar Skaug

Vidar Skaug is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Cancer Research and Materials Chemistry, having authored 94 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (16 papers), Air Quality and Health Impacts (13 papers), Nanoparticles: synthesis and applications (11 papers), Occupational and environmental lung diseases (11 papers), Epigenetics and DNA Methylation (10 papers), Cancer-related Molecular Pathways (9 papers), Lung Cancer Treatments and Mutations (8 papers) and Heavy Metal Exposure and Toxicity (7 papers). The work is most often cited by research in Cancer Research (911 citations), Chemical Health and Safety (23 citations), Health, Toxicology and Mutagenesis (424 citations), Oncology (713 citations) and Molecular Biology (1.7k citations). Vidar Skaug has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Aage Haugen, Shanbeh Zienolddiny, David Ryberg, Lodve Stangeland, Helge Lind, David H. Phillips, Federico Canzian, Bjørn Gylseth, Daniele Campa and Nina E. Landvik. Their work appears in journals such as Carcinogenesis, International Journal of Cancer, Environmental Health Perspectives, Lung Cancer and Scandinavian Journal of Work Environment & Health.

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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