Pietari Ripatti

1.3k citations
14 papers · 514 indexed · 1 hit paper · h-index 8
Topics
Lipoproteins and Cardiovascular Health (8 papers)Genetic Associations and Epidemiology (7 papers)Cancer, Lipids, and Metabolism (5 papers)

In The Last Decade

Pietari Ripatti

14 papers receiving 507 citations

Hit Papers

Polygenic and clinical risk scores and their impact on ag...2020202620222024202050100150200

Peers

Pietari Ripatti
Comparison fields: 5 of 80
  • Genetics 255
  • Cardiology and Cardiovascular Medicine 117
  • Molecular Biology 112
  • Epidemiology 109
  • Surgery 92
Replace Dilrini K. Ranatunga with:
Dilrini K. Ranatunga United States
Johanne Marie Justesen Denmark
Keith L. Keene United States
Laura B. L. Wittemans United Kingdom
María Luisa Ordóñez-Sánchez Mexico
Satoshi Yoshiji Japan
Manjeet K. Bolla United Kingdom
Yii-Der Ida Chen United States
Shinji Susa Japan
Thomas H. Mosley United States
Pietari Ripatti relative to Dilrini K. Ranatunga United States Dilrini K. Ranatunga's profile →
Citations per field
00.5×1.5×
Dilrini K. Ranatunga · 1×
Citations per year

Countries citing papers authored by Pietari Ripatti

Since Specialization
Citations

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

Fields of papers citing papers by Pietari Ripatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietari Ripatti

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 7
2 2
3 69
4 5
5 9
6 55
7 50
8 11
9
Polygenic and clinical risk scores and their impact on age at onset and prediction of cardiometabolic diseases and common cancersbreakdown →
245
10 7
11 21
12 2
13 1
14 30

About Pietari Ripatti

Pietari Ripatti is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Genetics, having authored 14 papers that have together received 514 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Genetic Associations and Epidemiology (7 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Genetics (255 citations), Cardiology and Cardiovascular Medicine (117 citations) and Endocrinology, Diabetes and Metabolism (75 citations). Pietari Ripatti has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Samuli Ripatti, Aarno Palotie, Veikko Salomaa, Nina Mars, Aki S. Havulinna, Tuomo Kiiskinen, Priit Palta, Jukka Koskela, Juha Karjalainen and Ari Ahola‐Olli. Their work appears in journals such as Nature Medicine, Journal of the American College of Cardiology and PLoS Genetics.

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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