Joel Rämö

6.7k total citations
40 papers, 631 citations indexed

About

Joel Rämö is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Genetics. According to data from OpenAlex, Joel Rämö has authored 40 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 11 papers in Surgery and 7 papers in Genetics. Recurrent topics in Joel Rämö's work include Lipoproteins and Cardiovascular Health (10 papers), Genetic Associations and Epidemiology (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Joel Rämö is often cited by papers focused on Lipoproteins and Cardiovascular Health (10 papers), Genetic Associations and Epidemiology (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Joel Rämö collaborates with scholars based in Finland, United States and Germany. Joel Rämö's co-authors include Antti Hakkarainen, Jaakko Kaprio, Kirsi H. Pietiläinen, Nina Lundbom, Aila Rissanen, Jesper Lundbom, Aarno Palotie, Sakari Jukarainen, Samuli Ripatti and Sanni Söderlund and has published in prestigious journals such as Circulation, Nature Medicine and Nature Communications.

In The Last Decade

Joel Rämö

34 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joel Rämö Finland 15 193 160 141 125 99 40 631
Hanbin Cui China 12 153 0.8× 268 1.7× 49 0.3× 145 1.2× 50 0.5× 62 682
Ali Sazcı Türkiye 19 54 0.3× 255 1.6× 156 1.1× 74 0.6× 76 0.8× 42 993
Francisco Westermeier Chile 20 165 0.9× 307 1.9× 73 0.5× 221 1.8× 93 0.9× 42 1.1k
Yunjuan Gu China 11 220 1.1× 250 1.6× 137 1.0× 51 0.4× 90 0.9× 20 641
Bradley J. Davis United States 17 133 0.7× 418 2.6× 265 1.9× 100 0.8× 157 1.6× 34 1.1k
Renee Stubbins United States 7 281 1.5× 129 0.8× 172 1.2× 41 0.3× 123 1.2× 7 650
Dongjuan Wang China 15 135 0.7× 235 1.5× 65 0.5× 119 1.0× 133 1.3× 32 615
Camilla A M Glad Sweden 15 237 1.2× 197 1.2× 96 0.7× 83 0.7× 345 3.5× 27 691
Pedrum Mohammadi‐Shemirani Canada 11 196 1.0× 247 1.5× 65 0.5× 82 0.7× 87 0.9× 17 709
Jean‐Raymond Teyssier France 17 150 0.8× 266 1.7× 67 0.5× 99 0.8× 54 0.5× 31 693

Countries citing papers authored by Joel Rämö

Since Specialization
Citations

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

Fields of papers citing papers by Joel Rämö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Rämö

This figure shows the co-authorship network connecting the top 25 collaborators of Joel Rämö. A scholar is included among the top collaborators of Joel Rämö 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 Joel Rämö. Joel Rämö 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.
Kim, Min Seo, Shaan Khurshid, Shinwan Kany, et al.. (2025). Machine Learning-Based Plasma Protein Risk Score Improves Atrial Fibrillation Prediction Over Clinical and Genomic Models. Circulation Genomic and Precision Medicine. 18(4). e004943–e004943. 2 indexed citations
2.
Rämö, Joel, David Playford, Geoff Strange, et al.. (2025). New Threshold for Defining Mild Aortic Stenosis Derived From Velocity-Encoded MRI in 60,000 Individuals. Journal of the American College of Cardiology. 85(13). 1387–1399. 2 indexed citations
3.
Kany, Shinwan, Mostafa A. Al‐Alusi, Joel Rämö, et al.. (2025). “Weekend Warrior” Physical Activity and Adipose Tissue Deposition. JACC Advances. 4(3). 101603–101603.
4.
Al‐Alusi, Mostafa A., Emily S. Lau, Christopher Reeder, et al.. (2025). A Deep Learning Model to Identify Mitral Valve Prolapse From the Echocardiogram. JACC. Cardiovascular imaging. 19(1). 18–29.
5.
Haj, Amelia K., Sean J. Jurgens, Harish Eswaran, et al.. (2025). Population-scale analysis reveals inherited C1-inhibitor deficiency is a polyphenotypic thrombotic disorder. Blood Advances. 10(3). 931–938.
6.
Kany, Shinwan, Sam Friedman, Mostafa A. Al‐Alusi, et al.. (2025). Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease. JACC Advances. 4(9). 102041–102041. 1 indexed citations
7.
Kany, Shinwan, Joel Rämö, Sean J. Jurgens, et al.. (2025). Multitrait analyses identify genetic variants associated with aortic valve function and aortic stenosis risk. Nature Genetics. 58(1). 47–56.
8.
Rämö, Joel, Sean J. Jurgens, Teemu Niiranen, et al.. (2024). Thrombosis risk in single- and double-heterozygous carriers of factor V Leiden and prothrombin G20210A in FinnGen and the UK Biobank. Blood. 143(23). 2425–2432. 9 indexed citations
9.
Pirruccello, James P., Paolo Di Achille, Seung Hoan Choi, et al.. (2024). Deep learning of left atrial structure and function provides link to atrial fibrillation risk. Nature Communications. 15(1). 4304–4304. 10 indexed citations
10.
Kany, Shinwan, Sean J. Jurgens, Joel Rämö, et al.. (2024). Genetic testing in early-onset atrial fibrillation. European Heart Journal. 45(34). 3111–3123. 8 indexed citations
11.
Rämö, Joel, Leo A. Kim, Tomasz P. Stryjewski, et al.. (2024). Targeting the Tie-2 Receptor With Faricimab in Central Serous Chorioretinopathy: A Case Series Motivated by a Genetic Finding. American Journal of Ophthalmology. 269. 246–254. 1 indexed citations
12.
Bizaki-Vallaskangas, Argyro, Joel Rämö, Eeva Sliz, et al.. (2024). Genome-wide association study indicates novel associations of annexin A13 to secretory and GAS2L2 with mucous otitis media. Scientific Reports. 14(1). 18344–18344.
13.
Rämö, Joel, Susanna Lemmelä, Kai Kaarniranta, et al.. (2023). Association of APOE Haplotypes With Common Age-Related Ocular Diseases in 412,171 Individuals. Investigative Ophthalmology & Visual Science. 64(14). 33–33. 4 indexed citations
14.
Jukarainen, Sakari, Tuomo Kiiskinen, Aki S. Havulinna, et al.. (2022). Genetic risk factors have a substantial impact on healthy life years. Nature Medicine. 28(9). 1893–1901. 29 indexed citations
15.
Taskinen, Marja‐Riitta, Elias Björnson, Niina Matikainen, et al.. (2022). Postprandial metabolism of apolipoproteins B48, B100, C-III, and E in humans with APOC3 loss-of-function mutations. JCI Insight. 7(19). 22 indexed citations
16.
Ripatti, Pietari, Joel Rämö, Nina Mars, et al.. (2020). Polygenic Hyperlipidemias and Coronary Artery Disease Risk. UTUPub (University of Turku). 55 indexed citations
17.
Borén, Jan, Martin Adiels, Elias Björnson, et al.. (2020). Effects of TM6SF2 E167K on hepatic lipid and very low-density lipoprotein metabolism in humans. JCI Insight. 5(24). 50 indexed citations
18.
Ripatti, Pietari, Joel Rämö, Sanni Söderlund, et al.. (2016). The Contribution of GWAS Loci in Familial Dyslipidemias. PLoS Genetics. 12(5). e1006078–e1006078. 30 indexed citations
19.
Rämö, Joel, Sanna Kaye, Sakari Jukarainen, et al.. (2016). Liver Fat and Insulin Sensitivity Define Metabolite Profiles During a Glucose Tolerance Test in Young Adult Twins. The Journal of Clinical Endocrinology & Metabolism. 102(1). jc.2015–3512. 17 indexed citations
20.
Jukarainen, Sakari, Sini Heinonen, Joel Rämö, et al.. (2015). Obesity Is Associated With Low NAD+/SIRT Pathway Expression in Adipose Tissue of BMI-Discordant Monozygotic Twins. The Journal of Clinical Endocrinology & Metabolism. 101(1). 275–283. 123 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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