Pavlo Lutsik

3.6k total citations · 1 hit paper
44 papers, 1.7k citations indexed

About

Pavlo Lutsik is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Pavlo Lutsik has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Pavlo Lutsik's work include Epigenetics and DNA Methylation (28 papers), RNA modifications and cancer (12 papers) and Cancer Genomics and Diagnostics (8 papers). Pavlo Lutsik is often cited by papers focused on Epigenetics and DNA Methylation (28 papers), RNA modifications and cancer (12 papers) and Cancer Genomics and Diagnostics (8 papers). Pavlo Lutsik collaborates with scholars based in Germany, United States and Belgium. Pavlo Lutsik's co-authors include Jörn Walter, Thomas Lengauer, Christoph Bock, Yassen Assenov, Fabian Müller, Christoph Plass, Michael Scherer, Dieter Weichenhan, Gilles Gasparoni and Julia Arand and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Pavlo Lutsik

44 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comprehensive analysis of DNA methylation data with RnBeads

2014 419 citations Yassen Assenov, Pavlo Lutsik et al. profile →

Peers

Pavlo Lutsik

GENET

PPCH

ONCOL

David Delano United States

Tiffany Morris United Kingdom

Carolina Montaño United States

Sebastian Lunke Australia

Sascha Tierling Germany

Asaf Hellman Israel

Fides D. Lay United States

Huijun Wang China

Rongxi Yang China

Jacob C. Ulirsch United States

David Delano United States

Pavlo Lutsik

1.2k ×1.0

433 ×1.2

GENET

198 ×0.8

178 ×0.8

PPCH

87 ×0.6

ONCOL

Citations per year, relative to Pavlo Lutsik Pavlo Lutsik (= 1×) peers David Delano

Countries citing papers authored by Pavlo Lutsik

Since Specialization

Citations

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

Fields of papers citing papers by Pavlo Lutsik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavlo Lutsik

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

All Works

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20 of 20 papers shown

Gerhäuser, Clarissa, et al.. (2025). MethylBERT enables read-level DNA methylation pattern identification and tumour deconvolution using a Transformer-based model. Nature Communications. 16(1). 788–788. 4 indexed citations

Gerhäuser, Clarissa, et al.. (2024). Figeno: multi-region genomic figures with long-read support. Bioinformatics. 40(6). 2 indexed citations

Kano, Yoshihito, Yosuke Yoneyama, Satoshi Watanabe, et al.. (2024). Discovery of non-genomic drivers of YAP signaling modulating the cell plasticity in CRC tumor lines. iScience. 27(3). 109247–109247. 3 indexed citations

Kupke, Janina, et al.. (2024). Dnmt3a1 regulates hippocampus-dependent memory via the downstream target Nrp1. Neuropsychopharmacology. 49(10). 1528–1539. 6 indexed citations

Kelly, Katherine J., Michael Scherer, M Braun, Pavlo Lutsik, & Christoph Plass. (2024). EpiCHAOS: a metric to quantify epigenomic heterogeneity in single-cell data. Genome biology. 25(1). 305–305. 2 indexed citations

Jahn, Nikolaus, Maral Saadati, Pierre Fenaux, et al.. (2023). Clinical impact of the genomic landscape and leukemogenic trajectories in non-intensively treated elderly acute myeloid leukemia patients. Leukemia. 37(11). 2187–2196. 22 indexed citations

Talwar, Deepti, Colin G. Miller, Łukasz Szyrwiel, et al.. (2023). The GAPDH redox switch safeguards reductive capacity and enables survival of stressed tumour cells. Nature Metabolism. 5(4). 660–676. 59 indexed citations

Goyal, Ashish, Dieter Weichenhan, Eric Allemand, et al.. (2023). TAL1 activation in T-cell acute lymphoblastic leukemia: a novel oncogenic 3’ neo-enhancer. Haematologica. 108(5). 1259–1271. 9 indexed citations

Tóth, Réka, et al.. (2022). Systematic evaluation of cell-type deconvolution pipelines for sequencing-based bulk DNA methylomes. Briefings in Bioinformatics. 23(4). 14 indexed citations

10.

Halperin, Coral, Joschka Hey, Dieter Weichenhan, et al.. (2022). Global DNA Methylation Analysis of Cancer-Associated Fibroblasts Reveals Extensive Epigenetic Rewiring Linked with RUNX1 Upregulation in Breast Cancer Stroma. Cancer Research. 82(22). 4139–4152. 21 indexed citations

11.

Chen, Yuanyuan, Réka Tóth, Dieter Weichenhan, et al.. (2022). Club cells employ regeneration mechanisms during lung tumorigenesis. Nature Communications. 13(1). 4557–4557. 17 indexed citations

12.

Schönung, Maximilian, Mark Hartmann, Sina Stäble, et al.. (2022). Dynamic DNA methylation reveals novel cis-regulatory elements in mouse hematopoiesis. Experimental Hematology. 117. 24–42.e7. 1 indexed citations

13.

Liu, Chunshan, Réka Tóth, Ashish Goyal, et al.. (2021). Epigenetic Modulation of Radiation-Induced Diacylglycerol Kinase Alpha Expression Prevents Pro-Fibrotic Fibroblast Response. Cancers. 13(10). 2455–2455. 8 indexed citations

14.

Hey, Joschka, Michelle T. Paulsen, Réka Tóth, et al.. (2021). Epigenetic reprogramming of airway macrophages promotes polarization and inflammation in muco-obstructive lung disease. Nature Communications. 12(1). 6520–6520. 47 indexed citations

15.

Touzart, Aurore, Anand Mayakonda, Joschka Hey, et al.. (2021). Epigenetic analysis of patients with T-ALL identifies poor outcomes and a hypomethylating agent-responsive subgroup. Science Translational Medicine. 13(595). 23 indexed citations

16.

Weichenhan, Dieter, Daniel B. Lipka, Pavlo Lutsik, Ashish Goyal, & Christoph Plass. (2020). Epigenomic technologies for precision oncology. Seminars in Cancer Biology. 84. 60–68. 9 indexed citations

17.

Schönung, Maximilian, Sina Stäble, Joschka Hey, et al.. (2020). AmpliconDesign – an interactive web server for the design of high-throughput targeted DNA methylation assays. Epigenetics. 16(9). 933–939. 3 indexed citations

18.

Mayakonda, Anand, Maximilian Schönung, Joschka Hey, et al.. (2020). Methrix: an R/Bioconductor package for systematic aggregation and analysis of bisulfite sequencing data. Bioinformatics. 36(22-23). 5524–5525. 5 indexed citations

19.

Becker, Daniel, Pavlo Lutsik, Peter Ebert, et al.. (2014). BiQ Analyzer HiMod: an interactive software tool for high-throughput locus-specific analysis of 5-methylcytosine and its oxidized derivatives. Nucleic Acids Research. 42(W1). W501–W507. 19 indexed citations

20.

Souren, Nicole Y., Pavlo Lutsik, Gilles Gasparoni, et al.. (2013). Adult monozygotic twins discordant for intra-uterine growth have indistinguishable genome-wide DNA methylation profiles. Genome biology. 14(5). R44–R44. 31 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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