Veikko Salomaa
- Cardiology and Cardiovascular Medicine top 0.2%
- Molecular Biology top 1%
- Epidemiology top 0.5%
- Genetics top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Co-authors
- Aki S. HavulinnaPekka JousilahtiErkki VartiainenMarkus PerolaSamuli RipattiKari KuulasmaaTiina LaatikainenJaakko Tuomilehto
- Topics
- Genetic Associations and Epidemiology (79 papers)Blood Pressure and Hypertension Studies (52 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (49 papers)
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Veikko Salomaa
509 papers receiving 21.6k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Cardiology and Cardiovascular Medicine 6.4k
- Molecular Biology 4.6k
- Epidemiology 3.8k
- Genetics 3.6k
- Endocrinology, Diabetes and Metabolism 3.2k
Countries citing papers authored by Veikko Salomaa
This map shows the geographic impact of Veikko Salomaa'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 Veikko Salomaa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veikko Salomaa more than expected).
Fields of papers citing papers by Veikko Salomaa
This network shows the impact of papers produced by Veikko Salomaa. 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 Veikko Salomaa. The network helps show where Veikko Salomaa may publish in the future.
Co-authorship network of co-authors of Veikko Salomaa
This figure shows the co-authorship network connecting the top 25 collaborators of Veikko Salomaa. A scholar is included among the top collaborators of Veikko Salomaa 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 Veikko Salomaa. Veikko Salomaa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 15 | |
| 3 | 22 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 72 | |
| 7 | 55 | |
| 8 | Thirty-Year Incidence and Mortality Trends in Upper and Lower Gastrointestinal Bleeding in Finland | 1 |
| 9 | 14 | |
| 10 | 37 | |
| 11 | 30 | |
| 12 | 4 | |
| 13 | FINEMAP: efficient variable selection using summary data from genome-wide association studiesbreakdown → | 350 |
| 14 | 78 | |
| 15 | 30 | |
| 16 | Leisure-time physical activity, cardiovascular risk factors and mortality during a 34-year follow-up in men | 2 |
| 17 | 57 | |
| 18 | 8 | |
| 19 | 16 | |
| 20 | 37 |
About Veikko Salomaa
Veikko Salomaa is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 522 papers that have together received 22.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (79 papers), Blood Pressure and Hypertension Studies (52 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (49 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (6.4k citations), Endocrinology, Diabetes and Metabolism (3.2k citations) and Genetics (3.6k citations). Veikko Salomaa has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Aki S. Havulinna, Pekka Jousilahti, Erkki Vartiainen, Markus Perola, Samuli Ripatti, Kari Kuulasmaa, Tiina Laatikainen, Jaakko Tuomilehto, Jorma Torppa and Aaron R. Folsom. Their work appears in journals such as The Lancet, Circulation and Journal of Clinical Investigation.
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.