Michał Marczyk

1.4k total citations
69 papers, 786 citations indexed

About

Michał Marczyk is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michał Marczyk has authored 69 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 29 papers in Cancer Research and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michał Marczyk's work include Gene expression and cancer classification (13 papers), Cancer Genomics and Diagnostics (12 papers) and Molecular Biology Techniques and Applications (8 papers). Michał Marczyk is often cited by papers focused on Gene expression and cancer classification (13 papers), Cancer Genomics and Diagnostics (12 papers) and Molecular Biology Techniques and Applications (8 papers). Michał Marczyk collaborates with scholars based in Poland, United States and Germany. Michał Marczyk's co-authors include Joanna Polańska, Lajos Pusztai, Joanna Żyła, January Weiner, Andrzej Polański, Piotr Wiland, Monika Pietrowska, Witold Rzyman, Christos Hatzis and Teresa Domaszewska and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Michał Marczyk

60 papers receiving 778 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 Marczyk Poland 17 425 272 167 155 67 69 786
Emma Niméus Sweden 16 378 0.9× 310 1.1× 268 1.6× 118 0.8× 90 1.3× 40 816
Dejun Shen United States 19 500 1.2× 214 0.8× 297 1.8× 186 1.2× 63 0.9× 33 1.2k
Summar Siddiqui United States 9 358 0.8× 152 0.6× 154 0.9× 119 0.8× 53 0.8× 10 628
Heiko Mannsperger Germany 12 636 1.5× 357 1.3× 100 0.6× 95 0.6× 66 1.0× 20 799
Sigrun Erkens‐Schulze Netherlands 14 231 0.5× 178 0.7× 238 1.4× 315 2.0× 61 0.9× 20 620
Wen-Hui Su Taiwan 14 471 1.1× 315 1.2× 270 1.6× 132 0.9× 19 0.3× 23 919
Siu W. Lam Netherlands 12 251 0.6× 128 0.5× 252 1.5× 102 0.7× 61 0.9× 19 753
Ching Chiek Koh United Kingdom 10 611 1.4× 251 0.9× 150 0.9× 77 0.5× 78 1.2× 12 862
Angelo Gámez‐Pozo Spain 15 427 1.0× 257 0.9× 169 1.0× 151 1.0× 17 0.3× 51 718
Melissa M. Johnson United States 15 344 0.8× 121 0.4× 232 1.4× 103 0.7× 77 1.1× 36 756

Countries citing papers authored by Michał Marczyk

Since Specialization
Citations

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

Fields of papers citing papers by Michał Marczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Marczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Marczyk. A scholar is included among the top collaborators of Michał Marczyk 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 Marczyk. Michał Marczyk 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.
Kowalczyk, Paweł, Dominik Koszelewski, Tomasz Misztal, et al.. (2025). Blood–Brain Barrier Penetration of Novel 4-Trifluoromethyl-Coumarin Hybrids with Antibacterial Properties as Potential Brain Therapeutics in the Context of Spatially Diverse Healthcare Systems. International Journal of Molecular Sciences. 26(19). 9655–9655. 1 indexed citations
2.
3.
Dai, Jiawei, et al.. (2025). Genomic alterations in normal breast tissues preceding breast cancer diagnosis. Breast Cancer Research. 27(1). 60–60.
4.
Marczyk, Michał, et al.. (2024). Passenger Location Estimation in Public Transport: Evaluating Methods and Camera Placement Impact. IEEE Transactions on Intelligent Transportation Systems. 25(11). 17878–17887. 3 indexed citations
5.
Foldi, Julia, Kim Blenman, Michał Marczyk, et al.. (2024). Peripheral blood immune parameters, response, and adverse events after neoadjuvant chemotherapy plus durvalumab in early-stage triple-negative breast cancer. Breast Cancer Research and Treatment. 208(2). 369–377. 1 indexed citations
6.
Gunasekharan, Vignesh, Michał Marczyk, Alejandro Ríos-Hoyo, et al.. (2024). Phosphoenolpyruvate carboxykinase-2 (PCK2) is a therapeutic target in triple-negative breast cancer. Breast Cancer Research and Treatment. 208(3). 657–671. 2 indexed citations
7.
Marczyk, Michał, Chunxiao Fu, Rosanna Lau, et al.. (2023). Assessment of stained direct cytology smears of breast cancer for whole transcriptome and targeted messenger RNA sequencing. Cancer Cytopathology. 131(5). 289–299. 4 indexed citations
8.
Marczyk, Michał, et al.. (2023). Short- and long-term effects of radiation exposure at low dose and low dose rate in normal human VH10 fibroblasts. Frontiers in Public Health. 11. 1297942–1297942. 2 indexed citations
9.
10.
Polańska, Joanna, et al.. (2022). Quantifying Spatial Heterogeneity of Tumor-Infiltrating Lymphocytes to Predict Survival of Individual Cancer Patients. Journal of Personalized Medicine. 12(7). 1113–1113. 3 indexed citations
11.
Qing, Tao, Hussein Mohsen, Vincent L. Cannataro, et al.. (2022). Cancer Relevance of Human Genes. JNCI Journal of the National Cancer Institute. 114(7). 988–995. 1 indexed citations
12.
Qing, Tao, Thomas Karn, Mariya Rozenblit, et al.. (2022). Molecular differences between younger versus older ER-positive and HER2-negative breast cancers. npj Breast Cancer. 8(1). 119–119. 13 indexed citations
13.
Tran, Kevin, Chunxiao Fu, Lili Du, et al.. (2022). Molecular testing opportunities on cytology effusion specimens: the pre-analytic effects of various body fluid cytology preparation methods on RNA extraction quality and targeted sequencing. Journal of the American Society of Cytopathology. 12(1). 10–19. 5 indexed citations
14.
Marczyk, Michał, Joanna Polańska, Andrzej Wójcik, & Lovisa Lundholm. (2021). Analysis of the Applicability of microRNAs in Peripheral Blood Leukocytes as Biomarkers of Sensitivity and Exposure to Fractionated Radiotherapy towards Breast Cancer. International Journal of Molecular Sciences. 22(16). 8705–8705. 4 indexed citations
15.
16.
Marczyk, Michał, Gauri A. Patwardhan, Jun Zhao, et al.. (2020). Multi-Omics Investigation of Innate Navitoclax Resistance in Triple-Negative Breast Cancer Cells. Cancers. 12(9). 2551–2551. 15 indexed citations
17.
Qing, Tao, Hussein Mohsen, Michał Marczyk, et al.. (2020). Germline variant burden in cancer genes correlates with age at diagnosis and somatic mutation burden. Nature Communications. 11(1). 2438–2438. 49 indexed citations
18.
Żyła, Joanna, Michał Marczyk, Teresa Domaszewska, et al.. (2019). Gene set enrichment for reproducible science: comparison of CERNO and eight other algorithms. Bioinformatics. 35(24). 5146–5154. 70 indexed citations
19.
Marczyk, Michał, Chunxiao Fu, Rosanna Lau, et al.. (2019). The impact of RNA extraction method on accurate RNA sequencing from formalin-fixed paraffin-embedded tissues. BMC Cancer. 19(1). 1189–1189. 41 indexed citations
20.
Marczyk, Michał & Joanna Polańska. (2016). Methods for Quality Control of Low-resolution MALDI-ToF Spectra. International Conference on Bioinformatics. 172–177. 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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