Oddgeir L. Holmen

24.2k total citations
17 papers, 496 citations indexed

About

Oddgeir L. Holmen is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Oddgeir L. Holmen has authored 17 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Oddgeir L. Holmen's work include Genetic Associations and Epidemiology (5 papers), Acute Myocardial Infarction Research (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Oddgeir L. Holmen is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Acute Myocardial Infarction Research (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Oddgeir L. Holmen collaborates with scholars based in Norway, United States and Finland. Oddgeir L. Holmen's co-authors include Kristian Hveem, Håvard Dalen, Torbjørn Omland, Helge Røsjø, Magnus Nakrem Lyngbakken, Ståle Nygård, Øyvind Melien, Jūratė Šaltytė Benth, James A. de Lemos and Ralf Dechend and has published in prestigious journals such as Nature Communications, Hypertension and Human Molecular Genetics.

In The Last Decade

Oddgeir L. Holmen

17 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oddgeir L. Holmen Norway 13 229 121 85 81 70 17 496
Sue-Kyung Park South Korea 13 103 0.4× 116 1.0× 28 0.3× 107 1.3× 129 1.8× 23 600
Andrew Drexler United States 10 52 0.2× 71 0.6× 22 0.3× 74 0.9× 59 0.8× 20 430
Johnnie Oli Nigeria 14 41 0.2× 152 1.3× 44 0.5× 26 0.3× 71 1.0× 23 542
Haichen Lv China 12 172 0.8× 12 0.1× 35 0.4× 60 0.7× 116 1.7× 36 376
Ahmad H. Al‐Sharqawi Saudi Arabia 11 53 0.2× 41 0.3× 21 0.2× 79 1.0× 41 0.6× 11 589
Yair Frenkel Israel 15 85 0.4× 89 0.7× 241 2.8× 26 0.3× 72 1.0× 38 602
Malik Elharram Canada 11 126 0.6× 8 0.1× 65 0.8× 63 0.8× 79 1.1× 18 427
Selvihan Beysel Türkiye 13 41 0.2× 56 0.5× 33 0.4× 13 0.2× 91 1.3× 38 491
D. W. M. Pearson United Kingdom 12 31 0.1× 50 0.4× 101 1.2× 103 1.3× 65 0.9× 20 508
Najlaa A. Ahmad Saudi Arabia 8 44 0.2× 32 0.3× 19 0.2× 78 1.0× 33 0.5× 8 493

Countries citing papers authored by Oddgeir L. Holmen

Since Specialization
Citations

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

Fields of papers citing papers by Oddgeir L. Holmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oddgeir L. Holmen. 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 Oddgeir L. Holmen. The network helps show where Oddgeir L. Holmen may publish in the future.

Co-authorship network of co-authors of Oddgeir L. Holmen

This figure shows the co-authorship network connecting the top 25 collaborators of Oddgeir L. Holmen. A scholar is included among the top collaborators of Oddgeir L. Holmen 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 Oddgeir L. Holmen. Oddgeir L. Holmen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Helgeland, Øyvind, Marc Vaudel, Pol Solé-Navais, et al.. (2022). Characterization of the genetic architecture of infant and early childhood body mass index. Nature Metabolism. 4(3). 344–358. 30 indexed citations
2.
Helgeland, Øyvind, Marc Vaudel, Pétur Benedikt Júlíusson, et al.. (2019). Genome-wide association study reveals dynamic role of genetic variation in infant and early childhood growth. Nature Communications. 10(1). 4448–4448. 49 indexed citations
3.
Hoff, Mari, Matthew A. Brown, Kristian Hveem, et al.. (2019). Prediction of Ankylosing Spondylitis in the HUNT Study by a Genetic Risk Score Combining 110 Single-nucleotide Polymorphisms of Genome-wide Significance. The Journal of Rheumatology. 47(2). 204–210. 12 indexed citations
4.
Rounge, Trine B., et al.. (2019). Ultralow amounts of DNA from long-term archived serum samples produce quality genotypes. European Journal of Human Genetics. 28(4). 521–524. 6 indexed citations
5.
Lyngbakken, Magnus Nakrem, Helge Røsjø, Oddgeir L. Holmen, et al.. (2019). Temporal Changes in Cardiac Troponin I Are Associated with Risk of Cardiovascular Events in the General Population: The Nord-Trøndelag Health Study. Clinical Chemistry. 65(7). 871–881. 24 indexed citations
6.
Lyngbakken, Magnus Nakrem, Oddgeir L. Holmen, Håvard Dalen, et al.. (2018). Relative Prognostic Value of Cardiac Troponin I and C-Reactive Protein in the General Population (from the Nord-Trøndelag Health [HUNT] Study). The American Journal of Cardiology. 121(8). 949–955. 71 indexed citations
7.
8.
Zhou, Wei, Lars G. Fritsche, Sayantan Das, et al.. (2017). Improving power of association tests using multiple sets of imputed genotypes from distributed reference panels. Genetic Epidemiology. 41(8). 744–755. 15 indexed citations
9.
Holmen, Jostein, Turid Lingaas Holmen, Aage Tverdal, et al.. (2016). Blood pressure changes during 22-year of follow-up in large general population - the HUNT Study, Norway. BMC Cardiovascular Disorders. 16(1). 94–94. 43 indexed citations
10.
Lyngbakken, Magnus Nakrem, Helge Røsjø, Oddgeir L. Holmen, et al.. (2016). Gender, High-Sensitivity Troponin I, and the Risk of Cardiovascular Events (from the Nord-Trøndelag Health Study). The American Journal of Cardiology. 118(6). 816–821. 29 indexed citations
11.
Feng, Shuang, Giorgio Pistis, He Zhang, et al.. (2015). Methods for Association Analysis and Meta‐Analysis of Rare Variants in Families. Genetic Epidemiology. 39(4). 227–238. 12 indexed citations
12.
Omland, Torbjørn, James A. de Lemos, Oddgeir L. Holmen, et al.. (2015). Impact of Sex on the Prognostic Value of High-Sensitivity Cardiac Troponin I in the General Population: The HUNT Study. Clinical Chemistry. 61(4). 646–656. 83 indexed citations
13.
Holmen, Oddgeir L., He Zhang, Wei Zhou, et al.. (2014). No large-effect low-frequency coding variation found for myocardial infarction. Human Molecular Genetics. 23(17). 4721–4728. 5 indexed citations
14.
Kvehaugen, Anne Stine, Øyvind Melien, Oddgeir L. Holmen, et al.. (2014). Hypertension after preeclampsia and relation to the C1114G polymorphism (rs4606) in RGS2: data from the Norwegian HUNT2 study. BMC Medical Genetics. 15(1). 28–28. 22 indexed citations
15.
Kvehaugen, Anne Stine, Øyvind Melien, Oddgeir L. Holmen, et al.. (2013). Single Nucleotide Polymorphisms in G Protein Signaling Pathway Genes in Preeclampsia. Hypertension. 61(3). 655–661. 42 indexed citations
16.
Chan, Yingleong, Oddgeir L. Holmen, Andrew Dauber, et al.. (2011). Common Variants Show Predicted Polygenic Effects on Height in the Tails of the Distribution, Except in Extremely Short Individuals. PLoS Genetics. 7(12). e1002439–e1002439. 41 indexed citations
17.
Holmen, Oddgeir L., Solfrid Romundstad, & Øyvind Melien. (2010). Association Between the G Protein  3 Subunit C825T Polymorphism and the Occurrence of Cardiovascular Disease in Hypertensives: The Nord-Trondelag Health Study (HUNT). American Journal of Hypertension. 23(10). 1121–1127. 11 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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