Sanni Ruotsalainen
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Physiology
- Co-authors
- Jielei WangSamuli RipattiP LepistöLeena MoilanenJohanna KuusistoMauri LaaksoMatti PirinenAarno Palotie
- Topics
- Genetic Associations and Epidemiology (12 papers)Respiratory viral infections research (2 papers)Genetic and phenotypic traits in livestock (2 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Sanni Ruotsalainen
24 papers receiving 745 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 200
- Genetics 185
- Molecular Biology 149
- Cardiology and Cardiovascular Medicine 132
- Physiology 126
Countries citing papers authored by Sanni Ruotsalainen
This map shows the geographic impact of Sanni Ruotsalainen'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 Sanni Ruotsalainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanni Ruotsalainen more than expected).
Fields of papers citing papers by Sanni Ruotsalainen
This network shows the impact of papers produced by Sanni Ruotsalainen. 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 Sanni Ruotsalainen. The network helps show where Sanni Ruotsalainen may publish in the future.
Co-authorship network of co-authors of Sanni Ruotsalainen
This figure shows the co-authorship network connecting the top 25 collaborators of Sanni Ruotsalainen. A scholar is included among the top collaborators of Sanni Ruotsalainen 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 Sanni Ruotsalainen. Sanni Ruotsalainen 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 | 5 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 8 | |
| 6 | 15 | |
| 7 | 38 | |
| 8 | 69 | |
| 9 | 6 | |
| 10 | 25 | |
| 11 | 74 | |
| 12 | 7 | |
| 13 | 27 | |
| 14 | 11 | |
| 15 | 7 | |
| 16 | Geographic Variation and Bias in the Polygenic Scores of Complex Diseases and Traits in Finland | 1 |
| 17 | 68 | |
| 18 | 13 | |
| 19 | 239 | |
| 20 | 7 |
About Sanni Ruotsalainen
Sanni Ruotsalainen is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 26 papers that have together received 765 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Respiratory viral infections research (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (200 citations), Genetics (185 citations) and Cardiology and Cardiovascular Medicine (132 citations). Sanni Ruotsalainen has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Jielei Wang, Samuli Ripatti, P Lepistö, Leena Moilanen, Johanna Kuusisto, Mauri Laakso, Matti Pirinen, Aarno Palotie, Elisabeth Widén and Christian Klose. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.
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.