Vegard Nygaard
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- Biomedical Text Mining and Ontologies
- RNA modifications and cancer
Papers in
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 2
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- Fiscal Policy and Economic Growth 6
- Taxation and Compliance Studies 2
- Co-authors
- Eivind Hovig (10 shared papers)Einar Andreas Rødland (1 shared paper)Bjørn Steen Skålhegg (1 shared paper)Roman Volchenkov (1 shared paper)Fang Liu (1 shared paper)Timothy J. Kehoe (1 shared paper)Juan Carlos Conesa (1 shared paper)Tor-Kristian Jenssen (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (1 paper)BMC Bioinformatics (1 paper)Frontiers in Immunology (1 paper)European Economic Review (1 paper)Bioinformatics (1 paper)
- Partner nations
- NorwayUnited StatesUnited Kingdom
In The Last Decade
Vegard Nygaard
18 papers receiving 400 citations
Peers
Comparison fields: 5 of 102
- Cancer Research 74
- Molecular Biology 262
- Immunology 48
- Biophysics 12
- Statistics and Probability 13
Countries citing papers authored by Vegard Nygaard
This map shows the geographic impact of Vegard Nygaard'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 Vegard Nygaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vegard Nygaard more than expected).
Fields of papers citing papers by Vegard Nygaard
This network shows the impact of papers produced by Vegard Nygaard. 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 Vegard Nygaard. The network helps show where Vegard Nygaard may publish in the future.
Co-authors
The 25 scholars most cited alongside Vegard Nygaard, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 213 | |
| 2 | 2016 | 50 | |
| 3 | 2020 | 37 | |
| 4 | 2017 | 20 | |
| 5 | 2004 | 20 | |
| 6 | 2019 | 14 | |
| 7 | 2011 | 14 | |
| 8 | 2020 | 9 | |
| 9 | 2011 | 8 | |
| 10 | 2019 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2014 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2022 | 0 | |
| 20 | 2020 | 0 |
About Vegard Nygaard
Vegard Nygaard is a scholar working on Molecular Biology, Economics and Econometrics, Gender Studies, General Health Professions and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 405 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (6 papers), Gender, Labor, and Family Dynamics (6 papers), Bioinformatics and Genomic Networks (4 papers), Global Health Care Issues (3 papers), Taxation and Compliance Studies (2 papers), Financial Literacy, Pension, Retirement Analysis (2 papers), Employment and Welfare Studies (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cancer Research (74 citations), Molecular Biology (262 citations), Immunology (48 citations), Biophysics (12 citations) and Statistics and Probability (13 citations). Vegard Nygaard has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Eivind Hovig, Einar Andreas Rødland, Bjørn Steen Skålhegg, Roman Volchenkov, Fang Liu, Timothy J. Kehoe, Juan Carlos Conesa, Tor-Kristian Jenssen, Bastian Fromm and Åslaug Helland. Their work appears in journals such as Molecular Cancer Therapeutics, BMC Bioinformatics, Frontiers in Immunology, European Economic Review and Bioinformatics.
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.