Felix C. Vaura

36 papers receiving 3.4k citations

Felix C. Vaura's Hit Papers

FinnGen provides genetic insights from a well-phenotyped isolated population 2023 · 2.5k citations
2.5k0+1+2Years since publication50010001.5k2.0k

Peers

Felix C. Vaura
Comparison fields: 5 of 116
  • Genetics 808
  • Obstetrics and Gynecology 131
  • Cancer Research 156
  • Immunology 217
  • Gastroenterology 53
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Joel T Rämö United States
Huei-Yi Shen Finland
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Countries citing papers authored by Felix C. Vaura

Since Specialization
Citations

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

Fields of papers citing papers by Felix C. Vaura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felix C. Vaura. 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 Felix C. Vaura. The network helps show where Felix C. Vaura may publish in the future.

Co-authors

The 25 scholars most cited alongside Felix C. Vaura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Felix C. Vaura Line = papers co-authored together Felix C. Vaura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
FinnGen provides genetic insights from a well-phenotyped isolated population
Hit paper breakdown →
20232455
2
Stroke genetics informs drug discovery and risk prediction across ancestries
Hit paper breakdown →
2022355
3 2021134
4 202192
5
Genetic Risk Factors Associated With Preeclampsia and Hypertensive Disorders of Pregnancy
Hit paper breakdown →
202380
6 202146
7 202339
8
Genetic, Molecular, and Cellular Determinants of Sex-Specific Cardiovascular Traits
202232
9 202230
10 202419
11 202118
12 202116
13 202216
14 202316
15 202315
16 202315
17 202213
18 202313
19 20239
20 20208

About Felix C. Vaura

Felix C. Vaura is a scholar working on Genetics, Experimental and Cognitive Psychology, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 37 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Sleep and related disorders (3 papers), BRCA gene mutations in cancer (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Chronic Disease Management Strategies (2 papers), Hormonal Regulation and Hypertension (2 papers), Sleep and Wakefulness Research (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Genetics (808 citations), Obstetrics and Gynecology (131 citations), Cancer Research (156 citations), Immunology (217 citations) and Gastroenterology (53 citations). Felix C. Vaura has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Teemu Niiranen, Anni Kauko, Veikko Salomaa, Susan C. Cheng, Karri Suvila, Nina Mars, Aki Samuli Havulinna, Jenni Aittokallio, Joonatan Palmu and Maija Hollmén. Their work appears in journals such as Hypertension, Nature Communications, Communications Biology, Scientific Reports and Journal of the American College of Cardiology.

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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