Katja Mitrunen
- Molecular Biology top 10%
- Genetics top 5%
- Oncology top 10%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Ari HirvonenSimone BenhamouMatti EskelinenVesa KatajaHarri VainioMatti UusitupaVeli‐Matti KosmaKim Pettersson
- Topics
- Glutathione Transferases and Polymorphisms (7 papers)BRCA gene mutations in cancer (5 papers)Nutrition, Genetics, and Disease (4 papers)
- Partner nations
- FinlandFranceSwitzerland
In The Last Decade
Katja Mitrunen
16 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 750
- Genetics 466
- Oncology 264
- Cancer Research 193
- Pulmonary and Respiratory Medicine 147
Countries citing papers authored by Katja Mitrunen
This map shows the geographic impact of Katja Mitrunen'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 Katja Mitrunen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Mitrunen more than expected).
Fields of papers citing papers by Katja Mitrunen
This network shows the impact of papers produced by Katja Mitrunen. 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 Katja Mitrunen. The network helps show where Katja Mitrunen may publish in the future.
Co-authorship network of co-authors of Katja Mitrunen
This figure shows the co-authorship network connecting the top 25 collaborators of Katja Mitrunen. A scholar is included among the top collaborators of Katja Mitrunen 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 Katja Mitrunen. Katja Mitrunen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 46 | |
| 3 | 47 | |
| 4 | 213 | |
| 5 | 57 | |
| 6 | Polymorphic GSTs and cancer predisposition | 8 |
| 7 | 207 | |
| 8 | Glutathione S-transferase M1, M3, P1, and T1 genetic polymorphisms and susceptibility to breast cancer. | 153 |
| 9 | Polymorphic catechol-O-methyltransferase gene and breast cancer risk. | 76 |
| 10 | 6 | |
| 11 | Steroid metabolism gene CYP17 polymorphism and the development of breast cancer. | 76 |
| 12 | High-activity microsomal epoxide hydrolase genotypes and the risk of oral, pharynx, and larynx cancers. | 75 |
| 13 | Role of arylamine N-acetyltransferase 1 and 2 (NAT1 and NAT2) genotypes in susceptibility to oral/pharyngeal and laryngeal cancers. | 28 |
| 14 | 74 | |
| 15 | 67 | |
| 16 | 153 |
About Katja Mitrunen
Katja Mitrunen is a scholar working on Geriatrics and Gerontology, Genetics and Urology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (7 papers), BRCA gene mutations in cancer (5 papers) and Nutrition, Genetics, and Disease (4 papers). The work is most often cited by research in Genetics (466 citations), Cancer Research (193 citations) and Molecular Biology (750 citations). Katja Mitrunen has collaborated with scholars based in Finland, France and Switzerland. Frequent co-authors include Ari Hirvonen, Simone Benhamou, Matti Eskelinen, Vesa Kataja, Harri Vainio, Matti Uusitupa, Veli‐Matti Kosma, Kim Pettersson, Timo Lövgren and Pierre Dayer. Their work appears in journals such as International Journal of Cancer, Clinical Chemistry and Carcinogenesis.
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.