Saulius Lukauskas

1.3k total citations
9 papers, 248 citations indexed

About

Saulius Lukauskas is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Saulius Lukauskas has authored 9 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Saulius Lukauskas's work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (2 papers) and Bioinformatics and Genomic Networks (2 papers). Saulius Lukauskas is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (2 papers) and Bioinformatics and Genomic Networks (2 papers). Saulius Lukauskas collaborates with scholars based in United Kingdom, Germany and United States. Saulius Lukauskas's co-authors include Till Bartke, Peter Faull, Nhuong V. Nguyen, Benjamin M. Foster, Thomas M. Frimurer, J. Ross Chapman, Jordan R. Becker, Laura C. Cesa, Giulia Saredi and Anja Groth and has published in prestigious journals such as Nature, Nucleic Acids Research and Molecular Cell.

In The Last Decade

Saulius Lukauskas

9 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saulius Lukauskas United Kingdom	6	227	60	22	17	13	9	248
Amine Saad Canada	5	157 0.7×	30 0.5×	18 0.8×	13 0.8×	24 1.8×	5	196
Adam H. Tencer United States	8	257 1.1×	46 0.8×	15 0.7×	11 0.6×	15 1.2×	12	279
Benjamin Pillet Switzerland	9	268 1.2×	46 0.8×	10 0.5×	7 0.4×	28 2.2×	13	298
Jacob Paiano United States	6	160 0.7×	29 0.5×	31 1.4×	24 1.4×	13 1.0×	6	191
Andrea McEwan Canada	4	295 1.3×	90 1.5×	28 1.3×	11 0.6×	22 1.7×	5	323
Walter F. Lenoir United States	6	275 1.2×	53 0.9×	53 2.4×	33 1.9×	15 1.2×	6	309
Stefano Gnan France	8	276 1.2×	61 1.0×	28 1.3×	21 1.2×	33 2.5×	9	306
Rossana Piccioni Italy	2	187 0.8×	27 0.5×	25 1.1×	20 1.2×	11 0.8×	2	202
Barbara Steurer Netherlands	9	313 1.4×	34 0.6×	24 1.1×	17 1.0×	13 1.0×	17	350
Moritz Völker-Albert Germany	8	231 1.0×	37 0.6×	22 1.0×	24 1.4×	18 1.4×	15	262

Countries citing papers authored by Saulius Lukauskas

Since Specialization

Citations

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

Fields of papers citing papers by Saulius Lukauskas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saulius Lukauskas

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Lukauskas, Saulius, et al.. (2024). asteRIa enables robust interaction modeling between chromatin modifications and epigenetic readers. Nucleic Acids Research. 52(11). 6129–6144. 2 indexed citations

Lukauskas, Saulius, Andrey Tvardovskiy, Nhuong V. Nguyen, et al.. (2024). Decoding chromatin states by proteomic profiling of nucleosome readers. Nature. 627(8004). 671–679. 27 indexed citations

Lukauskas, Saulius, Jordi Capellades, Patricia Heyn, et al.. (2023). Depletion of pyruvate kinase (PK) activity causes glycolytic intermediate imbalances and reveals a PK-TXNIP regulatory axis. Molecular Metabolism. 74. 101748–101748. 6 indexed citations

Skalska, Lenka, Manuel Beltrán, Saulius Lukauskas, et al.. (2021). Nascent RNA antagonizes the interaction of a set of regulatory proteins with chromatin. Molecular Cell. 81(14). 2944–2959.e10. 26 indexed citations

Nakamura, Kyosuke, Giulia Saredi, Jordan R. Becker, et al.. (2019). H4K20me0 recognition by BRCA1–BARD1 directs homologous recombination to sister chromatids. Nature Cell Biology. 21(3). 311–318. 150 indexed citations

Kalesh, Karunakaran, Saulius Lukauskas, Aaron J. Borg, et al.. (2019). An Integrated Chemical Proteomics Approach for Quantitative Profiling of Intracellular ADP-Ribosylation. Scientific Reports. 9(1). 6655–6655. 24 indexed citations

Lukauskas, Saulius, Roberto Visintainer, Guido Sanguinetti, & Gabriele Schweikert. (2016). DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks. BMC Bioinformatics. 17(S16). 447–447. 4 indexed citations

Geissmann, Quentin, Eszter Lakatos, Saulius Lukauskas, et al.. (2016). MEANS: python package for Moment Expansion Approximation, iNference and Simulation. Bioinformatics. 32(18). 2863–2865. 7 indexed citations

Lukauskas, Saulius, Gabriele Schweikert, & Guido Sanguinetti. (2013). DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks. EMBnet journal. 19(A). 57–57. 2 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.

Explore authors with similar magnitude of impact