Minna Taipale

73 total papers · 6.2k total citations
31 papers, 3.9k citations indexed

About

Minna Taipale is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Minna Taipale has authored 31 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Pathology and Forensic Medicine and 8 papers in Oncology. Recurrent topics in Minna Taipale's work include Genetic factors in colorectal cancer (9 papers), Genomics and Chromatin Dynamics (8 papers) and Epigenetics and DNA Methylation (5 papers). Minna Taipale is often cited by papers focused on Genetic factors in colorectal cancer (9 papers), Genomics and Chromatin Dynamics (8 papers) and Epigenetics and DNA Methylation (5 papers). Minna Taipale collaborates with scholars based in Finland, Sweden and United Kingdom. Minna Taipale's co-authors include Jussi Taipale, Jorma Keski‐Oja, Teemu Kivioja, Arttu Jolma, Kashyap Dave, Martin Enge, Kazuhiro R. Nitta, Yimeng Yin, Ekaterina Morgunova and А. Н. Попов and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Minna Taipale

31 papers receiving 3.9k citations

Hit Papers

Impact of cytosine methyl... 2011 2026 2016 2021 2017 2011 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Minna Taipale 2.6k 481 446 412 382 31 3.9k
Jian Yan 3.2k 1.2× 576 1.2× 416 0.9× 361 0.9× 214 0.6× 28 4.0k
Thomas G. Boyer 2.2k 0.8× 587 1.2× 302 0.7× 562 1.4× 432 1.1× 58 3.2k
Della Yee 3.4k 1.3× 862 1.8× 392 0.9× 141 0.3× 518 1.4× 36 4.4k
Eevi Kaasinen 1.6k 0.6× 300 0.6× 316 0.7× 764 1.9× 313 0.8× 49 3.3k
Michael H. Roh 2.0k 0.7× 321 0.7× 590 1.3× 182 0.4× 917 2.4× 60 3.9k
Michael Weinstein 4.5k 1.7× 1.0k 2.2× 550 1.2× 153 0.4× 877 2.3× 50 5.9k
M. Graziella Persico 4.4k 1.7× 952 2.0× 723 1.6× 697 1.7× 1.2k 3.1× 69 6.4k
Kallayanee Chawengsaksophak 3.3k 1.2× 1.6k 3.3× 289 0.6× 150 0.4× 375 1.0× 27 4.5k
Kiran Chada 3.7k 1.4× 1.1k 2.4× 1.4k 3.2× 180 0.4× 629 1.6× 67 5.5k
Naoki Takeda 4.8k 1.8× 946 2.0× 655 1.5× 129 0.3× 715 1.9× 96 7.4k

Countries citing papers authored by Minna Taipale

Since Specialization
Citations

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

Fields of papers citing papers by Minna Taipale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minna Taipale

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

All Works

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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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