Samuli Ripatti

99.1k total citations · 4 hit papers
168 papers, 8.5k citations indexed

About

Samuli Ripatti is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Samuli Ripatti has authored 168 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Genetics, 43 papers in Molecular Biology and 28 papers in Surgery. Recurrent topics in Samuli Ripatti's work include Genetic Associations and Epidemiology (77 papers), Genetic and phenotypic traits in livestock (18 papers) and Lipoproteins and Cardiovascular Health (17 papers). Samuli Ripatti is often cited by papers focused on Genetic Associations and Epidemiology (77 papers), Genetic and phenotypic traits in livestock (18 papers) and Lipoproteins and Cardiovascular Health (17 papers). Samuli Ripatti collaborates with scholars based in Finland, United States and United Kingdom. Samuli Ripatti's co-authors include Veikko Salomaa, Aarno Palotie, Aki S. Havulinna, Juni Palmgren, Matti Pirinen, Demetrius Albanes, Jarmo Virtamo, Jussi K. Huttunen, Olli P. Heinonen and Philip R. Taylor and has published in prestigious journals such as The Lancet, Nature Medicine and Nature Communications.

In The Last Decade

Samuli Ripatti

160 papers receiving 8.3k citations

Hit Papers

Prostate Cancer and Supplementation With α-Tocopherol and... 1998 2026 2007 2016 1998 2016 2020 2023 200 400 600

Peers

Samuli Ripatti
Comparison fields: 5 of 185
  • Genetics 2.7k
  • Molecular Biology 2.4k
  • Physiology 1.3k
  • Surgery 1.0k
  • Cardiology and Cardiovascular Medicine 959
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Paola Muti United States View profile →
Citations per field, relative to Samuli Ripatti
Samuli Ripatti · 1×
Citations per year, relative to Samuli Ripatti
Samuli Ripatti · 1×

Countries citing papers authored by Samuli Ripatti

Since Specialization
Citations

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

Fields of papers citing papers by Samuli Ripatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuli Ripatti

This figure shows the co-authorship network connecting the top 25 collaborators of Samuli Ripatti. A scholar is included among the top collaborators of Samuli 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 Samuli Ripatti. Samuli Ripatti 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
# Work Indexed citations
1 0
2 14
3 1
4 38
5 7
6 69
7 74
8 5
9 4
10 55
11 50
12 37
13 54
14 5
15
FINEMAP: efficient variable selection using summary data from genome-wide association studies breakdown →
350
16 78
17 5
18 235
19
Founder population-specific HapMap panel increases power in GWA studies through improved imputation accuracy and CNV tagging
14
20
57

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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