Eevi Kaasinen

6.7k total citations · 2 hit papers
49 papers, 3.4k citations indexed

About

Eevi Kaasinen is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Eevi Kaasinen has authored 49 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Surgery and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Eevi Kaasinen's work include Bladder and Urothelial Cancer Treatments (17 papers), Urinary and Genital Oncology Studies (10 papers) and Epigenetics and DNA Methylation (8 papers). Eevi Kaasinen is often cited by papers focused on Bladder and Urothelial Cancer Treatments (17 papers), Urinary and Genital Oncology Studies (10 papers) and Epigenetics and DNA Methylation (8 papers). Eevi Kaasinen collaborates with scholars based in Finland, Sweden and United Kingdom. Eevi Kaasinen's co-authors include Jussi Taipale, Lauri A. Aaltonen, Minna Taipale, Pia Vahteristo, Biswajyoti Sahu, Jian Yan, Ekaterina Morgunova, Yimeng Yin, Kazuhiro R. Nitta and Riku Katainen and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Eevi Kaasinen

48 papers receiving 3.3k citations

Hit Papers

Impact of cytosine methylation on DNA binding specif... 2011 2026 2016 2021 2017 2011 250 500 750

Peers

Eevi Kaasinen
Julie A. DeLoia United States
Sanjay Logani United States
William Gordon United States
Kristy Red-Horse United States
Adrian A. Suarez United States
Mary J. Janatpour United States
Koji Aoki Japan
Eevi Kaasinen
Citations per year, relative to Eevi Kaasinen Eevi Kaasinen (= 1×) peers Shunsuke Nakagawa

Countries citing papers authored by Eevi Kaasinen

Since Specialization
Citations

This map shows the geographic impact of Eevi Kaasinen'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 Eevi Kaasinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eevi Kaasinen more than expected).

Fields of papers citing papers by Eevi Kaasinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eevi Kaasinen. 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 Eevi Kaasinen. The network helps show where Eevi Kaasinen may publish in the future.

Co-authorship network of co-authors of Eevi Kaasinen

This figure shows the co-authorship network connecting the top 25 collaborators of Eevi Kaasinen. A scholar is included among the top collaborators of Eevi Kaasinen 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 Eevi Kaasinen. Eevi Kaasinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Taira, Aurora, Mervi Aavikko, Riku Katainen, et al.. (2025). Comprehensive metabolomic and epigenomic characterization of microsatellite stable BRAF-mutated colorectal cancer. Oncogene. 44(22). 1718–1730. 2 indexed citations
2.
Taira, Aurora, Kimmo Palin, Anna Kuosmanen, et al.. (2023). Vitamin C boosts DNA demethylation in TET2 germline mutation carriers. Clinical Epigenetics. 15(1). 7–7. 16 indexed citations
3.
Katainen, Riku, Iikki Donner, Tatiana Cajuso, et al.. (2018). Discovery of potential causative mutations in human coding and noncoding genome with the interactive software BasePlayer. Nature Protocols. 13(11). 2580–2600. 29 indexed citations
4.
Zhu, Fangjie, Lucas Farnung, Eevi Kaasinen, et al.. (2018). The interaction landscape between transcription factors and the nucleosome. Nature. 562(7725). 76–81. 233 indexed citations
5.
Kondelin, Johanna, Alexandra E. Gylfe, Tomas Tanskanen, et al.. (2017). Comprehensive Evaluation of Protein Coding Mononucleotide Microsatellites in Microsatellite-Unstable Colorectal Cancer. Cancer Research. 77(15). 4078–4088. 14 indexed citations
6.
Yin, Yimeng, Ekaterina Morgunova, Arttu Jolma, et al.. (2017). Impact of cytosine methylation on DNA binding specificities of human transcription factors. Science. 356(6337). 801 indexed citations breakdown →
7.
Heinonen, Hanna-Riikka, Miika Mehine, Netta Mäkinen, et al.. (2017). Global metabolomic profiling of uterine leiomyomas. British Journal of Cancer. 117(12). 1855–1864. 32 indexed citations
8.
Dave, Kashyap, Inderpreet Sur, Jian Yan, et al.. (2017). Mice deficient of Myc super-enhancer region reveal differential control mechanism between normal and pathological growth. eLife. 6. 44 indexed citations
9.
Mehine, Miika, Eevi Kaasinen, Hanna-Riikka Heinonen, et al.. (2016). Integrated data analysis reveals uterine leiomyoma subtypes with distinct driver pathways and biomarkers. Proceedings of the National Academy of Sciences. 113(5). 1315–1320. 157 indexed citations
10.
Välimäki, Niko, Hande Demi̇r, Esa Pitkänen, et al.. (2015). Whole-Genome Sequencing of Growth Hormone (GH)-Secreting Pituitary Adenomas. The Journal of Clinical Endocrinology & Metabolism. 100(10). 3918–3927. 69 indexed citations
11.
Kaasinen, Eevi, Elisa Rahikkala, Peppi Koivunen, et al.. (2014). Clinical characterization, genetic mapping and whole-genome sequence analysis of a novel autosomal recessive intellectual disability syndrome. European Journal of Medical Genetics. 57(10). 543–551. 14 indexed citations
12.
Kaasinen, Eevi, Mervi Aavikko, Pia Vahteristo, et al.. (2013). Nationwide Registry-Based Analysis of Cancer Clustering Detects Strong Familial Occurrence of Kaposi Sarcoma. PLoS ONE. 8(1). e55209–e55209. 14 indexed citations
13.
Aavikko, Mervi, Silva Saarinen, Pia Alhopuro, et al.. (2012). Loss of SUFU Function in Familial Multiple Meningioma. The American Journal of Human Genetics. 91(3). 520–526. 105 indexed citations
14.
Babjuk, M., W. Oosterlinck, Richard Sylvester, et al.. (2012). Guía clínica del carcinoma urotelial de vejiga no músculo-invasivo de la Asociación Europea de Urología. Actualización de 2011. Actas Urológicas Españolas. 36(7). 389–402. 45 indexed citations
15.
Mäkinen, Netta, Miika Mehine, Jaana Tolvanen, et al.. (2011). MED12 , the Mediator Complex Subunit 12 Gene, Is Mutated at High Frequency in Uterine Leiomyomas. Science. 334(6053). 252–255. 470 indexed citations breakdown →
16.
Babjuk, M., et al.. (2011). Guidelines on Non-muscle-invasive Bladder Cancer (TaT1 and CIS). 60 indexed citations
17.
Kaasinen, Eevi, Kristiina Aittomäki, Marianne Eronen, et al.. (2010). Recessively inherited right atrial isomerism caused by mutations in growth/differentiation factor 1 (GDF1). Human Molecular Genetics. 19(14). 2747–2753. 32 indexed citations
18.
Kaasinen, Eevi, et al.. (1993). Bacillus Calmette‐Guérin Sensitises Fresh Transitional Carcinoma Cells and T24 Cell Line to Non‐MHC‐restricted Cytotoxicity in vitro. British Journal of Urology. 72(6). 897–906. 6 indexed citations
19.
Rajala, Pertti, Eevi Kaasinen, Esa Rintala, et al.. (1992). Cytostatic effect of different strains of Bacillus Calmette-Gu�rin on human bladder cancer cells in vitro alone and in combination with mitomycin C and Interferon-?. Urological Research. 20(3). 215–217. 48 indexed citations
20.
Kaasinen, Eevi, M. Taavitsainen, & Timo Lehtonen. (1988). Epidermoid Cyst of the Testis. European Urology. 15(1-2). 141–143. 2 indexed citations

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.

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