Hilma Hólm

40.1k total citations
28 papers, 1.2k citations indexed

About

Hilma Hólm is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Hilma Hólm has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Cardiology and Cardiovascular Medicine and 8 papers in Molecular Biology. Recurrent topics in Hilma Hólm's work include Genetic Associations and Epidemiology (9 papers), Chronic Kidney Disease and Diabetes (4 papers) and Genomics and Rare Diseases (3 papers). Hilma Hólm is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Chronic Kidney Disease and Diabetes (4 papers) and Genomics and Rare Diseases (3 papers). Hilma Hólm collaborates with scholars based in Iceland, United States and Denmark. Hilma Hólm's co-authors include Daníel F. Guðbjartsson, Kāri Stefánsson, Unnur Þorsteinsdóttir, Patrick Sulem, Guðmar Þorleifsson, Augustine Kong, Sigurjón A. Guðjónsson, Áslaug Jónasdóttir, Guðmundur I. Eyjólfsson and Guðmundur Þorgeirsson and has published in prestigious journals such as Circulation, Nature Communications and Nature Genetics.

In The Last Decade

Hilma Hólm

27 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hilma Hólm Iceland 17 482 319 310 181 173 28 1.2k
Mitsutoshi Oguri Japan 21 436 0.9× 310 1.0× 269 0.9× 90 0.5× 66 0.4× 93 1.2k
Henning Gohlke Germany 15 397 0.8× 123 0.4× 192 0.6× 239 1.3× 143 0.8× 25 1.4k
Kimihiko Kato Japan 26 829 1.7× 376 1.2× 406 1.3× 84 0.5× 136 0.8× 83 1.9k
Tetsuo Fujimaki Japan 16 333 0.7× 169 0.5× 257 0.8× 87 0.5× 82 0.5× 65 864
Lihua Ying United States 17 358 0.7× 107 0.3× 68 0.2× 92 0.5× 140 0.8× 27 1.0k
Fabian Bock United States 17 511 1.1× 112 0.4× 61 0.2× 238 1.3× 93 0.5× 33 1.1k
Sebastian Martini Germany 17 373 0.8× 104 0.3× 99 0.3× 430 2.4× 116 0.7× 44 1.0k
M Fujishima Japan 20 312 0.6× 220 0.7× 97 0.3× 245 1.4× 120 0.7× 65 1.2k
Sara S. Roscioni Netherlands 17 554 1.1× 138 0.4× 173 0.6× 219 1.2× 142 0.8× 26 1.3k
Berardino Porfirio Italy 19 718 1.5× 80 0.3× 214 0.7× 89 0.5× 118 0.7× 69 1.3k

Countries citing papers authored by Hilma Hólm

Since Specialization
Citations

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

Fields of papers citing papers by Hilma Hólm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hilma Hólm

This figure shows the co-authorship network connecting the top 25 collaborators of Hilma Hólm. A scholar is included among the top collaborators of Hilma Hólm 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 Hilma Hólm. Hilma Hólm 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.
Möller, Peter, Palle Duun Rohde, Laust Dupont Rasmussen, et al.. (2024). Predicting the presence of coronary plaques featuring high-risk characteristics using polygenic risk scores and targeted proteomics in patients with suspected coronary artery disease. Genome Medicine. 16(1). 40–40. 3 indexed citations
2.
Tragante, Vinicius, Laurent F. Thomas, Ingelin Steinsland, et al.. (2024). Polygenic Interactions With Environmental Exposures in Blood Pressure Regulation: The HUNT Study. Journal of the American Heart Association. 13(19). e034612–e034612. 1 indexed citations
3.
Styrkársdóttir, Unnur, Vinicius Tragante, Lilja Stefánsdóttir, et al.. (2023). Obesity Variants in the GIPR Gene Are not Associated With Risk of Fracture or Bone Mineral Density. The Journal of Clinical Endocrinology & Metabolism. 109(8). e1608–e1615. 8 indexed citations
4.
Möller, Peter, Palle Duun Rohde, Laust Dupont Rasmussen, et al.. (2023). Combining Polygenic and Proteomic Risk Scores With Clinical Risk Factors to Improve Performance for Diagnosing Absence of Coronary Artery Disease in Patients With de novo Chest Pain. Circulation Genomic and Precision Medicine. 16(5). 442–451. 3 indexed citations
5.
Tragante, Vinicius, Kaitlin H. Wade, Laurent F. Thomas, et al.. (2023). Polygenic risk scores associate with blood pressure traits across the lifespan. European Journal of Preventive Cardiology. 31(6). 644–654. 4 indexed citations
6.
Lund, Sigrún H., Saedís Saevarsdóttir, Brynjar Viðarsson, et al.. (2023). Phenotypes Associated with HFE p.C282Y Homozygosity, the Main Hereditary Hemochromatosis Genotype, in Four Large Genetic Cohorts. Blood. 142(Supplement 1). 1088–1088.
7.
Christiansen, Morten Krogh, Simon Winther, Louise Nissen, et al.. (2021). Polygenic Risk Score–Enhanced Risk Stratification of Coronary Artery Disease in Patients With Stable Chest Pain. Circulation Genomic and Precision Medicine. 14(3). e003298–e003298. 5 indexed citations
8.
Eiriksdottir, Thjodbjorg, Benedikt A. Jónsson, Sigrún H. Lund, et al.. (2021). Predicting the probability of death using proteomics. Communications Biology. 4(1). 758–758. 14 indexed citations
9.
Styrkársdóttir, Unnur, Sigrún H. Lund, Saedís Saevarsdóttir, et al.. (2021). The CRTAC1 Protein in Plasma Is Associated With Osteoarthritis and Predicts Progression to Joint Replacement: A Large‐Scale Proteomics Scan in Iceland. Arthritis & Rheumatology. 73(11). 2025–2034. 40 indexed citations
10.
Ivarsdottir, Erna V., Stefania Benónísdóttir, Guðmar Þorleifsson, et al.. (2019). Sequence variation at ANAPC1 accounts for 24% of the variability in corneal endothelial cell density. Nature Communications. 10(1). 1284–1284. 20 indexed citations
11.
Björnsson, Eyþór, Guðmar Þorleifsson, Anna Helgadóttir, et al.. (2019). Association of Genetically Predicted Lipid Levels With the Extent of Coronary Atherosclerosis in Icelandic Adults. JAMA Cardiology. 5(1). 13–13. 30 indexed citations
12.
Þórólfsdóttir, Rósa B., Garðar Sveinbjörnsson, Patrick Sulem, et al.. (2018). A rare missense mutation in MYH6 associates with non-syndromic coarctation of the aorta. European Heart Journal. 39(34). 3243–3249. 50 indexed citations
13.
Kehr, Birte, Anna Helgadóttir, Páll Melsted, et al.. (2017). Diversity in non-repetitive human sequences not found in the reference genome. Nature Genetics. 49(4). 588–593. 38 indexed citations
14.
Þórólfsdóttir, Rósa B., Garðar Sveinbjörnsson, Patrick Sulem, et al.. (2017). A Missense Variant in PLEC Increases Risk of Atrial Fibrillation. Journal of the American College of Cardiology. 70(17). 2157–2168. 56 indexed citations
15.
Ivarsdottir, Erna V., Valgerður Steinthórsdóttir, Maryam S. Daneshpour, et al.. (2017). Effect of sequence variants on variance in glucose levels predicts type 2 diabetes risk and accounts for heritability. Nature Genetics. 49(9). 1398–1402. 16 indexed citations
16.
Hólm, Hilma, Patrick Sulem, Hannes Helgason, et al.. (2016). Abstract 18777: The Low-Density Lipoprotein Cholesterol and Body Mass Index/Type-2 Diabetes Signals in the HMGCR Region Are Not Explained by a Single Variant. Circulation. 134. 1 indexed citations
17.
Sveinbjörnsson, Garðar, Anders Albrechtsen, Florian Zink, et al.. (2016). Weighting sequence variants based on their annotation increases power of whole-genome association studies. Nature Genetics. 48(3). 314–317. 52 indexed citations
18.
Oddsson, Ásmundur, Patrick Sulem, Hannes Helgason, et al.. (2015). Common and rare variants associated with kidney stones and biochemical traits. Nature Communications. 6(1). 7975–7975. 120 indexed citations
19.
Sveinbjörnsson, Garðar, Evgenia Mikaelsdottir, Runólfur Pálsson, et al.. (2014). Rare mutations associating with serum creatinine and chronic kidney disease. Human Molecular Genetics. 23(25). 6935–6943. 38 indexed citations
20.
Hólm, Hilma, Daníel F. Guðbjartsson, Davíð O. Arnar, et al.. (2010). Several common variants modulate heart rate, PR interval and QRS duration. Nature Genetics. 42(2). 117–122. 242 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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