Michał Dramiński

589 total citations
14 papers, 287 citations indexed

About

Michał Dramiński is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Michał Dramiński has authored 14 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Cancer Research. Recurrent topics in Michał Dramiński's work include Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers) and Gene expression and cancer classification (3 papers). Michał Dramiński is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers) and Gene expression and cancer classification (3 papers). Michał Dramiński collaborates with scholars based in Poland, Sweden and Denmark. Michał Dramiński's co-authors include Jacek Koronacki, Jan Komorowski, Stefan Enroth, Claes Wadelius, Álvaro Rada-Iglesias, Marcin Kierczak, Krzysztof Ginalski, Witold R. Rudnicki, Bartosz Wojtaś and Michał J. Dąbrowski and has published in prestigious journals such as Bioinformatics, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Michał Dramiński

13 papers receiving 271 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michał Dramiński Poland 6 174 49 43 25 22 14 287
JiaRui Li China 10 236 1.4× 36 0.7× 84 2.0× 28 1.1× 10 0.5× 18 339
Giovanna Nicora Italy 9 167 1.0× 79 1.6× 57 1.3× 19 0.8× 14 0.6× 35 434
Hassaan Maan Canada 7 314 1.8× 41 0.8× 52 1.2× 19 0.8× 58 2.6× 9 480
Mohamed Elati France 11 197 1.1× 42 0.9× 24 0.6× 20 0.8× 6 0.3× 35 320
Ananda Mohan Mondal United States 9 166 1.0× 26 0.5× 21 0.5× 41 1.6× 28 1.3× 32 273
Ker-Chau Li United States 11 263 1.5× 32 0.7× 80 1.9× 9 0.4× 23 1.0× 14 550
Binhua Tang China 7 185 1.1× 34 0.7× 50 1.2× 19 0.8× 7 0.3× 16 255
Aidan N. Gomez Canada 2 257 1.5× 58 1.2× 48 1.1× 10 0.4× 14 0.6× 3 442
Linsen Xie China 11 157 0.9× 25 0.5× 138 3.2× 16 0.6× 12 0.5× 29 319
Zhijun Liao China 12 449 2.6× 44 0.9× 121 2.8× 48 1.9× 17 0.8× 35 556

Countries citing papers authored by Michał Dramiński

Since Specialization
Citations

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

Fields of papers citing papers by Michał Dramiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Dramiński

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

All Works

14 of 14 papers shown
1.
Dramiński, Michał, M Łapiński, Gabriela Adriana Filip, et al.. (2025). Unveiling Epigenetic Regulatory Elements Associated with Breast Cancer Development. International Journal of Molecular Sciences. 26(14). 6558–6558. 1 indexed citations
2.
Maleszewska, Marta, et al.. (2025). Decoding glioblastoma's diversity: Are neurons part of the game?. Cancer Letters. 620. 217666–217666. 4 indexed citations
3.
Perycz, Małgorzata, Michał J. Dąbrowski, Bartłomiej Gielniewski, et al.. (2024). Comprehensive analysis of the REST transcription factor regulatory networks in IDH mutant and IDH wild-type glioma cell lines and tumors. Acta Neuropathologica Communications. 12(1). 72–72. 1 indexed citations
4.
Schmidt, Vanessa, Michał Dramiński, Jasper J. Anink, et al.. (2024). SorLA restricts TNFα release from microglia to shape a glioma-supportive brain microenvironment. EMBO Reports. 25(5). 2278–2305. 3 indexed citations
5.
Dąbrowski, Michał J., Michał Dramiński, Klev Diamanti, et al.. (2018). Unveiling new interdependencies between significant DNA methylation sites, gene expression profiles and glioma patients survival. Scientific Reports. 8(1). 4390–4390. 11 indexed citations
6.
Dramiński, Michał & Jacek Koronacki. (2018). rmcfs: An R Package for Monte Carlo Feature Selection and Interdependency Discovery. Journal of Statistical Software. 85(12). 25 indexed citations
7.
Mieczkowski, Jakub, et al.. (2013). Random Reducts: A Monte Carlo Rough Set-based Method for Feature Selection in Large Datasets. Fundamenta Informaticae. 127(1-4). 273–288. 3 indexed citations
8.
Wierzchoń, Sławomir T., et al.. (2011). Accelerating PageRank computations. Control and Cybernetics. 40(2). 259–274.
9.
Dramiński, Michał, et al.. (2011). The Monte Carlo feature selection and interdependency discovery is unbiased. Control and Cybernetics. 40(2). 199–211. 10 indexed citations
10.
Ciesielski, Krzysztof, et al.. (2010). Semantic information within the BEATCA framework. Control and Cybernetics. 39(2). 377–399. 2 indexed citations
11.
Kierczak, Marcin, Michał Dramiński, Jacek Koronacki, & Jan Komorowski. (2010). Computational Analysis of Molecular Interaction Networks Underlying Change of HIV-1 Resistance to Selected Reverse Transcriptase Inhibitors. Bioinformatics and Biology Insights. 4. BBI.S6247–BBI.S6247. 7 indexed citations
12.
Kierczak, Marcin, Krzysztof Ginalski, Michał Dramiński, et al.. (2009). A Rough Set-Based Model of HIV-1 Reverse Transcriptase Resistome. Bioinformatics and Biology Insights. 3. BBI.S3382–BBI.S3382. 21 indexed citations
13.
Dramiński, Michał, Álvaro Rada-Iglesias, Stefan Enroth, et al.. (2007). Monte Carlo feature selection for supervised classification. Bioinformatics. 24(1). 110–117. 198 indexed citations
14.
Krawczyk, Beata, et al.. (1968). [Patterns of alkaline phosphatase in leukocytes in gynecologic neoplasms].. PubMed. 21(15). 1301–6. 1 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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