Emmi Tikkanen
- Genetics top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Samuli RipattiStefan GustafssonErik IngelssonVeikko SalomaaAki S. HavulinnaMarkus PerolaAarno PalotieJuha Sinisalo
- Topics
- Genetic Associations and Epidemiology (10 papers)Lipoproteins and Cardiovascular Health (7 papers)Cardiovascular Function and Risk Factors (4 papers)
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Emmi Tikkanen
20 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Genetics 589
- Cardiology and Cardiovascular Medicine 431
- Surgery 356
- Molecular Biology 266
- Endocrinology, Diabetes and Metabolism 252
Countries citing papers authored by Emmi Tikkanen
This map shows the geographic impact of Emmi Tikkanen'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 Emmi Tikkanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmi Tikkanen more than expected).
Fields of papers citing papers by Emmi Tikkanen
This network shows the impact of papers produced by Emmi Tikkanen. 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 Emmi Tikkanen. The network helps show where Emmi Tikkanen may publish in the future.
Co-authorship network of co-authors of Emmi Tikkanen
This figure shows the co-authorship network connecting the top 25 collaborators of Emmi Tikkanen. A scholar is included among the top collaborators of Emmi Tikkanen 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 Emmi Tikkanen. Emmi Tikkanen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Metabolic biomarker discovery for risk of peripheral artery disease compared with coronary artery disease:lipoprotein and metabolite profiling of 31 657 individuals from 5 prospective cohorts | 43 |
| 3 | 11 | |
| 4 | 28 | |
| 5 | 163 | |
| 6 | 67 | |
| 7 | 88 | |
| 8 | 209 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 20 | |
| 12 | 48 | |
| 13 | 56 | |
| 14 | 88 | |
| 15 | 5 | |
| 16 | 86 | |
| 17 | 42 | |
| 18 | 115 | |
| 19 | 29 | |
| 20 | 386 |
About Emmi Tikkanen
Emmi Tikkanen is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Anesthesiology and Pain Medicine, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Lipoproteins and Cardiovascular Health (7 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Genetics (589 citations), Cardiology and Cardiovascular Medicine (431 citations) and Endocrinology, Diabetes and Metabolism (252 citations). Emmi Tikkanen has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Samuli Ripatti, Stefan Gustafsson, Erik Ingelsson, Veikko Salomaa, Aki S. Havulinna, Markus Perola, Aarno Palotie, Juha Sinisalo, Marja‐Liisa Lokki and Markku S. Nieminen. Their work appears in journals such as The Lancet, Circulation 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.