Roman Jaksik

1.6k total citations · 1 hit paper
45 papers, 1.1k citations indexed

About

Roman Jaksik is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Roman Jaksik has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 16 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Roman Jaksik's work include MicroRNA in disease regulation (10 papers), Gene expression and cancer classification (7 papers) and RNA modifications and cancer (7 papers). Roman Jaksik is often cited by papers focused on MicroRNA in disease regulation (10 papers), Gene expression and cancer classification (7 papers) and RNA modifications and cancer (7 papers). Roman Jaksik collaborates with scholars based in Poland, United States and Belgium. Roman Jaksik's co-authors include Joanna Rzeszowska‐Wolny, Marek Kimmel, Marek Łoś, Elaheh Sajjadi, Wiem Chaabane, Katherine Y. King, Katie A. Matatall, Marta Iwanaszko, Bailee Kain and Duy T. Le and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.

In The Last Decade

Roman Jaksik

44 papers receiving 1.0k citations

Hit Papers

Chronic infection drives Dnmt3a-loss-of-function clonal h... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roman Jaksik Poland 16 556 216 195 176 110 45 1.1k
Lorena Martinez‐Gamboa Germany 14 373 0.7× 153 0.7× 128 0.7× 277 1.6× 125 1.1× 29 1.0k
Chiara Romano Italy 23 562 1.0× 200 0.9× 233 1.2× 107 0.6× 120 1.1× 67 1.4k
Kageaki Kuribayashi Japan 19 607 1.1× 160 0.7× 177 0.9× 184 1.0× 91 0.8× 54 1.2k
Tamer E. Fandy United States 18 874 1.6× 103 0.5× 318 1.6× 91 0.5× 119 1.1× 37 1.2k
Jiandong Zhang China 14 356 0.6× 108 0.5× 166 0.9× 295 1.7× 81 0.7× 36 988
Zhengshan Chen China 20 660 1.2× 150 0.7× 131 0.7× 496 2.8× 130 1.2× 70 1.4k
Antônio Palumbo Brazil 21 676 1.2× 285 1.3× 133 0.7× 265 1.5× 46 0.4× 47 1.4k
S. A. Roumiantsev Russia 22 747 1.3× 206 1.0× 295 1.5× 111 0.6× 42 0.4× 75 1.4k
Roger Strair United States 21 783 1.4× 209 1.0× 257 1.3× 203 1.2× 89 0.8× 68 1.6k
Wenjuan Yang China 23 655 1.2× 310 1.4× 78 0.4× 227 1.3× 197 1.8× 102 1.5k

Countries citing papers authored by Roman Jaksik

Since Specialization
Citations

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

Fields of papers citing papers by Roman Jaksik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Jaksik

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Jaksik. A scholar is included among the top collaborators of Roman Jaksik 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 Roman Jaksik. Roman Jaksik 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.
Jaksik, Roman, et al.. (2024). Multiomics-Based Feature Extraction and Selection for the Prediction of Lung Cancer Survival. International Journal of Molecular Sciences. 25(7). 3661–3661. 8 indexed citations
2.
Jaksik, Roman, Monika Lejman, Łukasz Sędek, et al.. (2022). Multiomics to investigate the mechanisms contributing to repression of PTPRC and SOCS2 in pediatric T‐ALL: Focus on miR‐363‐3p and promoter methylation. Genes Chromosomes and Cancer. 61(12). 720–733. 3 indexed citations
3.
4.
Dawidowska, Małgorzata, Roman Jaksik, Małgorzata Jarmuż‐Szymczak, et al.. (2022). Small RNA-Seq Reveals Similar miRNA Transcriptome in Children and Young Adults with T-ALL and Indicates miR-143-3p as Novel Candidate Tumor Suppressor in This Leukemia. International Journal of Molecular Sciences. 23(17). 10117–10117. 4 indexed citations
5.
Dinh, Khanh N., Roman Jaksik, Seth J. Corey, & Marek Kimmel. (2021). Predicting time to relapse in acute myeloid leukemia through stochastic modeling of minimal residual disease based on clonality data. SHILAP Revista de lepidopterología. 1(3). 7 indexed citations
6.
Kain, Bailee, Laure Maneix, Duy T. Le, et al.. (2021). Specificity and Heterogeneity of Trained Immunity in Hematopoietic Stem and Progenitor Cells. Blood. 138(Supplement 1). 2149–2149. 3 indexed citations
7.
Jaksik, Roman, et al.. (2021). RNA-seq library preparation for comprehensive transcriptome analysis in cancer cells: The impact of insert size. Genomics. 113(6). 4149–4162. 8 indexed citations
8.
Michalak, Marcin, Roman Jaksik, & Dominik Ślȩzak. (2020). Heuristic search of exact biclusters in binary data. International Journal of Applied Mathematics and Computer Science. 30(1). 5 indexed citations
9.
Jaksik, Roman, Łukasz Sędek, Anna Kuchmiy, et al.. (2020). hsa-miR-20b-5p and hsa-miR-363-3p Affect Expression of PTEN and BIM Tumor Suppressor Genes and Modulate Survival of T-ALL Cells In Vitro. Cells. 9(5). 1137–1137. 27 indexed citations
10.
Florez, Marcus A., Katie A. Matatall, Youngjae Jeong, et al.. (2020). Interferon Gamma Mediates Hematopoietic Stem Cell Activation and Niche Relocalization through BST2. Cell Reports. 33(12). 108530–108530. 36 indexed citations
11.
Dawidowska, Małgorzata, Roman Jaksik, Łukasz Sędek, et al.. (2019). Comprehensive Investigation of miRNome Identifies Novel Candidate miRNA-mRNA Interactions Implicated in T-Cell Acute Lymphoblastic Leukemia. Neoplasia. 21(3). 294–310. 25 indexed citations
12.
Jaksik, Roman, et al.. (2019). Predicting Minimal Residual Disease in Acute Myeloid Leukemia through Stochastic Modeling of Clonality. Blood. 134(Supplement_1). 1448–1448. 2 indexed citations
13.
Daca‐Roszak, Patrycja, Michał Świerniak, Roman Jaksik, et al.. (2018). Transcriptomic population markers for human population discrimination. BMC Genetics. 19(1). 54–54. 3 indexed citations
14.
Jaksik, Roman, et al.. (2018). miR106a-363 Cluster Has Oncogenic Potential in Childhood T-Cell Acute Lymphoblastic Leukemia. Blood. 132(Supplement 1). 5142–5142.
15.
Handkiewicz-Junak, Daria, Michał Świerniak, Dagmara Rusinek, et al.. (2016). Gene signature of the post-Chernobyl papillary thyroid cancer. European Journal of Nuclear Medicine and Molecular Imaging. 43(7). 1267–1277. 62 indexed citations
16.
Stokowy, Tomasz, Roman Jaksik, Katarzyna Szołtysek, et al.. (2015). Cross talk between cytokine and hyperthermia-induced pathways: identification of different subsets of NF-κB-dependent genes regulated by TNFα and heat shock. Molecular Genetics and Genomics. 290(5). 1979–1990. 15 indexed citations
17.
Jaksik, Roman, Michał Marczyk, Joanna Polańska, & Joanna Rzeszowska‐Wolny. (2013). Sources of High Variance between Probe Signals in Affymetrix Short Oligonucleotide Microarrays. Sensors. 14(1). 532–548. 6 indexed citations
18.
Jaksik, Roman & Joanna Rzeszowska‐Wolny. (2011). The distribution of GC nucleotides and regulatory sequence motifs in genes and their adjacent sequences. Gene. 492(2). 375–381. 15 indexed citations
19.
Konopacka, Maria, Joanna Polańska, Andrzej Świerniak, et al.. (2010). Bystander Effects Induced by Medium From Irradiated Cells: Similar Transcriptome Responses in Irradiated and Bystander K562 Cells. International Journal of Radiation Oncology*Biology*Physics. 77(1). 244–252. 37 indexed citations
20.
Jaksik, Roman, et al.. (2009). Calculation of reliable transcript levels of annotated genes on the basis of multiple probe-sets in Affymetrix microarrays.. Acta Biochimica Polonica. 56(2). 271–7. 17 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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