Michał Seweryn

1.7k total citations
54 papers, 1.0k citations indexed

About

Michał Seweryn is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Michał Seweryn has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Immunology and 8 papers in Surgery. Recurrent topics in Michał Seweryn's work include Cancer-related molecular mechanisms research (7 papers), Tuberculosis Research and Epidemiology (7 papers) and Immune Cell Function and Interaction (7 papers). Michał Seweryn is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Tuberculosis Research and Epidemiology (7 papers) and Immune Cell Function and Interaction (7 papers). Michał Seweryn collaborates with scholars based in Poland, United States and Norway. Michał Seweryn's co-authors include Grzegorz A. Rempała, Andrzej Łuczak, Leszek Ignatowicz, Paweł Kisielow, Simarjot Pabla, Richard McIndoe, Piotr Kraj, Anna Cebula, Timothy L. Denning and Lynn Bry and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Michał Seweryn

51 papers receiving 1.0k 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 Seweryn Poland 15 373 332 108 105 96 54 1.0k
Claudia Rangel‐Escareño Mexico 20 642 1.7× 208 0.6× 75 0.7× 93 0.9× 123 1.3× 68 1.4k
Xuewen Pang China 21 547 1.5× 422 1.3× 210 1.9× 90 0.9× 84 0.9× 40 1.1k
Yongkang Wu China 16 248 0.7× 213 0.6× 44 0.4× 180 1.7× 64 0.7× 74 976
Rei Kawashima Japan 19 514 1.4× 315 0.9× 152 1.4× 35 0.3× 163 1.7× 87 1.3k
Christine Nardini Italy 20 703 1.9× 180 0.5× 114 1.1× 146 1.4× 115 1.2× 68 1.6k
Yuying Xie United States 19 480 1.3× 322 1.0× 305 2.8× 65 0.6× 133 1.4× 53 1.2k
Zhenping Chen China 25 500 1.3× 240 0.7× 129 1.2× 38 0.4× 95 1.0× 147 1.7k
Katherine Martin United States 16 291 0.8× 217 0.7× 52 0.5× 120 1.1× 63 0.7× 44 873
Zhenping Li China 20 328 0.9× 368 1.1× 159 1.5× 27 0.3× 46 0.5× 81 1.2k
Mika Gustafsson Sweden 19 687 1.8× 283 0.9× 75 0.7× 37 0.4× 118 1.2× 64 1.4k

Countries citing papers authored by Michał Seweryn

Since Specialization
Citations

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

Fields of papers citing papers by Michał Seweryn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michał Seweryn

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Seweryn. A scholar is included among the top collaborators of Michał Seweryn 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 Seweryn. Michał Seweryn 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.
Janik-Papis, Katarzyna, et al.. (2025). Comparing eDNA and eRNA Sampling Methodologies From Pond Environments. Aquatic Conservation Marine and Freshwater Ecosystems. 35(2). 1 indexed citations
2.
3.
Dujmović, Vida, David Eppstein, Gwenaël Joret, et al.. (2024). Product Structure Extension of the Alon–Seymour–Thomas Theorem. SIAM Journal on Discrete Mathematics. 38(3). 2095–2107. 1 indexed citations
4.
Seweryn, Michał, et al.. (2023). Intratumor heterogeneity in colorectal cancer: Distribution of tumor suppressor gene variants with regard to patient lymph node status. Clinical Genetics. 104(4). 406–417. 1 indexed citations
5.
Górska, Aleksandra, María Urbanowicz, Michał Seweryn, et al.. (2023). Genome-Wide DNA Methylation and Gene Expression in Patients with Indolent Systemic Mastocytosis. International Journal of Molecular Sciences. 24(18). 13910–13910. 2 indexed citations
6.
Łacwik, Piotr, Andrzej Błauż, Błażej Rychlik, et al.. (2023). Effect of an Intranasal Corticosteroid on Quality of Life and Local Microbiome in Young Children With Chronic Rhinosinusitis. JAMA Pediatrics. 177(4). 345–345. 10 indexed citations
7.
Totoń‐Żurańska, Justyna, Joanna Sulicka‐Grodzicka, Michał Seweryn, et al.. (2022). MicroRNA composition of plasma extracellular vesicles: a harbinger of late cardiotoxicity of doxorubicin. Molecular Medicine. 28(1). 156–156. 7 indexed citations
8.
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Darwiche, Kaid, Michał Seweryn, Vedat Yildiz, et al.. (2021). DNA methylation of PTGER4 in peripheral blood plasma helps to distinguish between lung cancer, benign pulmonary nodules and chronic obstructive pulmonary disease patients. European Journal of Cancer. 147. 142–150. 24 indexed citations
10.
Nazimek, Katarzyna, Bernadeta Nowak, Justyna Totoń‐Żurańska, et al.. (2021). Antibodies Enhance the Suppressive Activity of Extracellular Vesicles in Mouse Delayed-Type Hypersensitivity. Pharmaceuticals. 14(8). 734–734. 7 indexed citations
11.
Stec, Małgorzata, Michał Seweryn, Mariusz Korkosz, et al.. (2021). Expression of VEGFA-mRNA in classical and MSX2-mRNA in non-classical monocytes in patients with spondyloarthritis is associated with peripheral arthritis. Scientific Reports. 11(1). 9693–9693. 1 indexed citations
12.
Kapusta, Przemysław, et al.. (2020). Dysregulation of Transcription Factor Activity during Formation of Cancer-Associated Fibroblasts. International Journal of Molecular Sciences. 21(22). 8749–8749. 7 indexed citations
13.
Ludwig‐Słomczyńska, Agnieszka H., Michał Seweryn, Przemysław Kapusta, et al.. (2020). Mitochondrial GWAS and association of nuclear – mitochondrial epistasis with BMI in T1DM patients. BMC Medical Genomics. 13(1). 97–97. 13 indexed citations
14.
Wawrocki, Sebastian, et al.. (2020). IL-18 and related function proteins associated with tuberculosis severity and screening for active TB among patients with non-mycobacterial community-acquired pneumonia (CAP). Saudi Journal of Biological Sciences. 27(11). 3035–3045. 2 indexed citations
15.
Wawrocki, Sebastian, et al.. (2019). IL-18/IL-37/IP-10 signalling complex as a potential biomarker for discriminating active and latent TB. PLoS ONE. 14(12). e0225556–e0225556. 22 indexed citations
16.
Seweryn, Michał, Tomasz Gołąbek, Justyna Totoń‐Żurańska, et al.. (2019). Patterns of gene expression characterize T1 and T3 clear cell renal cell carcinoma subtypes. PLoS ONE. 14(5). e0216793–e0216793. 5 indexed citations
17.
Jonas, Kamil, et al.. (2018). High-density lipoprotein cholesterol level and pulmonary artery vasoreactivity in patients with idiopathic pulmonary arterial hypertension. Polskie Archiwum Medycyny Wewnętrznej. 128(7-8). 440–446. 7 indexed citations
18.
Hartmann, Katherine E., et al.. (2016). Non-linear interactions between candidate genes of myocardial infarction revealed in mRNA expression profiles. BMC Genomics. 17(1). 738–738. 15 indexed citations
19.
Pietrzak, Maciej, Grzegorz A. Rempała, Michał Seweryn, & Jacek Wesołowski. (2016). Limit theorems for empirical Rényi entropy and divergence with applications to molecular diversity analysis. Test. 25(4). 654–673. 7 indexed citations
20.
Pietrzak, Maciej, Ryan M. Smith, Amy Webb, et al.. (2015). Allele-Selective Transcriptome Recruitment to Polysomes Primed for Translation: Protein-Coding and Noncoding RNAs, and RNA Isoforms. PLoS ONE. 10(9). e0136798–e0136798. 14 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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