Sanna Timonen
Impact in
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- Computational Drug Discovery Methods
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Bioinformatics and Genomic Networks 3
- Gene Regulatory Network Analysis 2
- DNA Repair Mechanisms 1
- Gene expression and cancer classification 1
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- Computational Drug Discovery Methods 3
- Co-authors
- Tero Aittokallio (9 shared papers)Krister Wennerberg (7 shared papers)Elina Parri (2 shared papers)Balaguru Ravikumar (2 shared papers)Anil K. Giri (2 shared papers)Tapio Pahikkala (1 shared paper)Anna Cichońska (1 shared paper)Antti Airola (1 shared paper)
In The Last Decade
Sanna Timonen
17 papers receiving 348 citations
Peers
Comparison fields: 5 of 76
- Computational Theory and Mathematics 145
- Biophysics 24
- Genetics 38
- Molecular Biology 198
- Cancer Research 25
Countries citing papers authored by Sanna Timonen
This map shows the geographic impact of Sanna Timonen'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 Sanna Timonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanna Timonen more than expected).
Fields of papers citing papers by Sanna Timonen
This network shows the impact of papers produced by Sanna Timonen. 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 Sanna Timonen. The network helps show where Sanna Timonen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanna Timonen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 87 | |
| 2 | 2018 | 56 | |
| 3 | 2020 | 45 | |
| 4 | 2019 | 37 | |
| 5 | 2019 | 28 | |
| 6 | 1961 | 18 | |
| 7 | 2019 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2024 | 7 | |
| 12 | Histochemistry of the corpus luteum in human ovary. | 1965 | 5 |
| 13 | 1959 | 4 | |
| 14 | Adenofibroma and cystadenofibroma of the ovary. | 1967 | 3 |
| 15 | Benzodiazepines in an unselected obstetrical series. | 1966 | 2 |
| 16 | Mechanism of the action of clomiphene. | 1968 | 2 |
| 17 | 2017 | 1 |
About Sanna Timonen
Sanna Timonen is a scholar working on Molecular Biology, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health, Cancer Research and Genetics, having authored 17 papers that have together received 351 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers), Cancer Genomics and Diagnostics (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Gene Regulatory Network Analysis (2 papers), Reproductive Biology and Fertility (2 papers), DNA Repair Mechanisms (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Computational Theory and Mathematics (145 citations), Biophysics (24 citations), Genetics (38 citations), Molecular Biology (198 citations) and Cancer Research (25 citations). Sanna Timonen has collaborated with scholars based in Finland, Denmark and Germany. Frequent co-authors include Tero Aittokallio, Krister Wennerberg, Elina Parri, Balaguru Ravikumar, Anil K. Giri, Tapio Pahikkala, Anna Cichońska, Antti Airola, Juho Rousu and Aleksandr Ianevski. Their work appears in journals such as PLoS Computational Biology, European Journal of Endocrinology, Molecular Systems Biology, Cancer Research and npj Systems Biology and Applications.
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.