Karri Suvila

476 total citations
11 papers, 237 citations indexed

About

Karri Suvila is a scholar working on Cardiology and Cardiovascular Medicine, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Karri Suvila has authored 11 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 3 papers in Nutrition and Dietetics and 1 paper in Molecular Biology. Recurrent topics in Karri Suvila's work include Blood Pressure and Hypertension Studies (8 papers), Sodium Intake and Health (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). Karri Suvila is often cited by papers focused on Blood Pressure and Hypertension Studies (8 papers), Sodium Intake and Health (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). Karri Suvila collaborates with scholars based in Finland, United States and Australia. Karri Suvila's co-authors include Teemu Niiranen, Susan Cheng, João A.C. Lima, Ville L. Langén, Elizabeth L. McCabe, A Lehtonen, Anni Kauko, Joseph E. Ebinger, Nina Mars and Veikko Salomaa and has published in prestigious journals such as Hypertension, Journal of Hypertension and BMC Cancer.

In The Last Decade

Karri Suvila

11 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karri Suvila Finland 7 138 46 44 40 35 11 237
Matthew Nudy United States 12 110 0.8× 55 1.2× 59 1.3× 69 1.7× 101 2.9× 44 364
Nina Hutri‐Kähönen Finland 5 125 0.9× 33 0.7× 46 1.0× 7 0.2× 30 0.9× 10 220
Germán Vargas‐Ayala Mexico 8 143 1.0× 21 0.5× 22 0.5× 13 0.3× 46 1.3× 25 315
Kiran J. Biddinger United States 3 100 0.7× 11 0.2× 42 1.0× 43 1.1× 30 0.9× 7 291
Connor A. Emdin United States 1 61 0.4× 11 0.2× 40 0.9× 31 0.8× 25 0.7× 2 232
Filomena Coppola Italy 6 160 1.2× 9 0.2× 51 1.2× 44 1.1× 72 2.1× 9 311
Andrew D. Morris United Kingdom 8 120 0.9× 11 0.2× 24 0.5× 62 1.6× 80 2.3× 9 266
Zimin Song China 11 57 0.4× 16 0.3× 74 1.7× 21 0.5× 54 1.5× 38 306
Sara Salerni Italy 5 163 1.2× 12 0.3× 29 0.7× 7 0.2× 18 0.5× 6 250
Maliheh Khoramdad Iran 8 30 0.2× 15 0.3× 55 1.3× 14 0.3× 42 1.2× 11 228

Countries citing papers authored by Karri Suvila

Since Specialization
Citations

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

Fields of papers citing papers by Karri Suvila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karri Suvila

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

All Works

11 of 11 papers shown
1.
Vaura, Felix, Anni Kauko, Karri Suvila, et al.. (2021). Polygenic Risk Scores Predict Hypertension Onset and Cardiovascular Risk. Hypertension. 77(4). 1119–1127. 72 indexed citations
2.
Suvila, Karri, João A.C. Lima, Yuichiro Yano, et al.. (2021). Early-but Not Late-Onset Hypertension Is Related to Midlife Cognitive Function. Hypertension. 77(3). 972–979. 22 indexed citations
4.
Vaura, Felix, Anni Kauko, Karri Suvila, et al.. (2021). POLYGENIC RISK SCORES PREDICT HYPERTENSION ONSET AND CARDIOVASCULAR RISK. Journal of Hypertension. 39(Supplement 1). e265–e266. 1 indexed citations
5.
Suvila, Karri, João A.C. Lima, Susan Cheng, & Teemu Niiranen. (2021). Clinical Correlates of Early-Onset Hypertension. American Journal of Hypertension. 34(9). 915–918. 6 indexed citations
6.
Suvila, Karri, Ville L. Langén, Susan Cheng, & Teemu Niiranen. (2020). Age of Hypertension Onset: Overview of Research and How to Apply in Practice. Current Hypertension Reports. 22(9). 68–68. 30 indexed citations
7.
Nuotio, Joel, Karri Suvila, Susan Cheng, Ville L. Langén, & Teemu Niiranen. (2020). Longitudinal blood pressure patterns and cardiovascular disease risk. Annals of Medicine. 52(3-4). 43–54. 29 indexed citations
8.
Suvila, Karri, Elizabeth L. McCabe, João A.C. Lima, et al.. (2020). Self-reported Age of Hypertension Onset and Hypertension-Mediated Organ Damage in Middle-Aged Individuals. American Journal of Hypertension. 33(7). 644–651. 10 indexed citations
9.
Niiranen, Teemu, Karri Suvila, & A Lehtonen. (2019). ASSOCIATION BETWEEN HYPERTENSION ONSET AGE AND ECG-LVH IN A POPULATION SAMPLE OF 2867 INDIVIDUALS. Journal of Hypertension. 37. e48–e48. 1 indexed citations
10.
Suvila, Karri, Elizabeth L. McCabe, A Lehtonen, et al.. (2019). Early Onset Hypertension Is Associated With Hypertensive End-Organ Damage Already by MidLife. Hypertension. 74(2). 305–312. 56 indexed citations
11.
Suvila, Karri, et al.. (2018). EARLY ONSET HYPERTENSION IS ROBUSTLY ASSOCIATED WITH HYPERTENSIVE ORGAN DAMAGE. Journal of Hypertension. 36(Supplement 1). e226–e226. 2 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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