Vegard Nygaard

793 total citations
22 papers, 405 citations indexed

About

Vegard Nygaard is a scholar working on Molecular Biology, Economics and Econometrics and Gender Studies. According to data from OpenAlex, Vegard Nygaard has authored 22 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Economics and Econometrics and 6 papers in Gender Studies. Recurrent topics in Vegard Nygaard's work include Gender, Labor, and Family Dynamics (6 papers), Fiscal Policy and Economic Growth (6 papers) and Bioinformatics and Genomic Networks (4 papers). Vegard Nygaard is often cited by papers focused on Gender, Labor, and Family Dynamics (6 papers), Fiscal Policy and Economic Growth (6 papers) and Bioinformatics and Genomic Networks (4 papers). Vegard Nygaard collaborates with scholars based in Norway, United States and United Kingdom. Vegard Nygaard's co-authors include Eivind Hovig, Einar Andreas Rødland, Roman Volchenkov, Bjørn Steen Skålhegg, Juan Carlos Conesa, Timothy J. Kehoe, Tor-Kristian Jenssen, Fang Liu, Ida Bukholm and Carlos Caldas and has published in prestigious journals such as Bioinformatics, International Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Vegard Nygaard

18 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vegard Nygaard Norway 9 262 74 48 43 26 22 405
Gabriele Anton Germany 8 200 0.8× 85 1.1× 53 1.1× 45 1.0× 22 0.8× 14 413
Helen M. Moore United States 4 158 0.6× 147 2.0× 46 1.0× 57 1.3× 46 1.8× 5 427
Alison Acevedo United States 5 166 0.6× 87 1.2× 34 0.7× 112 2.6× 37 1.4× 8 428
Hui‐Min Lin United States 8 211 0.8× 108 1.5× 61 1.3× 82 1.9× 19 0.7× 13 385
Edward Seijo United States 5 192 0.7× 140 1.9× 42 0.9× 87 2.0× 52 2.0× 7 449
Eric Bender United States 9 148 0.6× 52 0.7× 37 0.8× 66 1.5× 51 2.0× 30 311
Son Hong Nguyen United States 8 155 0.6× 44 0.6× 70 1.5× 30 0.7× 15 0.6× 15 348
Sebastien K. Gerega Australia 8 182 0.7× 75 1.0× 86 1.8× 128 3.0× 31 1.2× 10 415
Katherine C. Sexton United States 14 211 0.8× 160 2.2× 51 1.1× 78 1.8× 24 0.9× 20 583
Elisabeth Drucker Germany 9 234 0.9× 87 1.2× 25 0.5× 64 1.5× 47 1.8× 11 413

Countries citing papers authored by Vegard Nygaard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Vegard Nygaard

This figure shows the co-authorship network connecting the top 25 collaborators of Vegard Nygaard. A scholar is included among the top collaborators of Vegard Nygaard 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 Vegard Nygaard. Vegard Nygaard 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.
Nygaard, Vegard, et al.. (2022). Optimal allocations to heterogeneous agents with an application to stimulus checks. Journal of Economic Dynamics and Control. 138. 104352–104352.
2.
Nygaard, Vegard, et al.. (2022). A COMPARISON OF LIVING STANDARDS ACROSS THE UNITED STATES OF AMERICA. International Economic Review. 64(2). 511–542.
3.
4.
Nygaard, Vegard, et al.. (2021). The impact of U.S. employer-sponsored insurance in the 20th century. SSRN Electronic Journal. 1 indexed citations
5.
Nygaard, Vegard, et al.. (2021). Optimal Allocations to Heterogeneous Agents with An Application to the COVID-19 Stimulus Checks. SSRN Electronic Journal. 1 indexed citations
6.
Nygaard, Vegard, et al.. (2020). A Comparison of Living Standards Across the States of America. Finance and Economics Discussion Series. 2020.0(41).
7.
Waaler, Jo, Anders Tveita, Nina Therese Solberg, et al.. (2020). Tankyrase inhibition sensitizes melanoma to PD-1 immune checkpoint blockade in syngeneic mouse models. Communications Biology. 3(1). 196–196. 37 indexed citations
8.
9.
Nygaard, Vegard, et al.. (2020). A Comparison of Living Standards Across the States of America. SSRN Electronic Journal. 1 indexed citations
10.
Opdal, Siri H., et al.. (2020). No association to sudden infant death syndrome detected by targeted amplicon sequencing of 24 genes. Acta Paediatrica. 109(12). 2636–2640. 2 indexed citations
11.
Wernhoff, Patrik, et al.. (2020). Dysregulation of MITF Leads to Transformation in MC1R-Defective Melanocytes. Cancers. 12(7). 1719–1719. 9 indexed citations
12.
Ree, Anne Hansen, Vigdis Nygaard, Hege G. Russnes, et al.. (2019). Responsiveness to PD-1 Blockade in End-Stage Colon Cancer with Gene Locus 9p24.1 Copy-Number Gain. Cancer Immunology Research. 7(5). 701–706. 5 indexed citations
13.
Conesa, Juan Carlos, et al.. (2019). Implications of increasing college attainment for aging in general equilibrium. European Economic Review. 122. 103363–103363. 14 indexed citations
14.
Ree, Anne Hansen, Kjersti Flatmark, Vigdis Nygaard, et al.. (2018). Abstract A101: The MetAction trial: long-lasting responses to molecularly matched therapy in end-stage cancer. Molecular Cancer Therapeutics. 17(1_Supplement). A101–A101.
15.
Volchenkov, Roman, et al.. (2017). Th17 Polarization under Hypoxia Results in Increased IL-10 Production in a Pathogen-Independent Manner. Frontiers in Immunology. 8. 698–698. 20 indexed citations
16.
Haakensen, Vilde Drageset, Vegard Nygaard, Liliana Greger, et al.. (2016). Subtype‐specific micro‐RNA expression signatures in breast cancer progression. International Journal of Cancer. 139(5). 1117–1128. 50 indexed citations
17.
Nygård, Ståle, Trond Reitan, Trevor Clancy, et al.. (2014). Identifying pathogenic processes by integrating microarray data with prior knowledge. BMC Bioinformatics. 15(1). 115–115. 1 indexed citations
18.
Sandve, Geir Kjetil, Sveinung Gundersen, Halfdan Rydbeck, et al.. (2011). The differential disease regulome. BMC Genomics. 12(1). 353–353. 8 indexed citations
19.
Clancy, Trevor, Marco Pedicini, Filippo Castiglione, et al.. (2011). Immunological network signatures of cancer progression and survival. BMC Medical Genomics. 4(1). 28–28. 14 indexed citations
20.
Liu, Fang, et al.. (2004). FigSearch: a figure legend indexing and classification system. Bioinformatics. 20(16). 2880–2882. 20 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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