Magda Bienko

5.8k total citations · 2 hit papers
48 papers, 3.8k citations indexed

About

Magda Bienko is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Magda Bienko has authored 48 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 10 papers in Plant Science and 8 papers in Genetics. Recurrent topics in Magda Bienko's work include Genomics and Chromatin Dynamics (18 papers), Single-cell and spatial transcriptomics (13 papers) and DNA Repair Mechanisms (10 papers). Magda Bienko is often cited by papers focused on Genomics and Chromatin Dynamics (18 papers), Single-cell and spatial transcriptomics (13 papers) and DNA Repair Mechanisms (10 papers). Magda Bienko collaborates with scholars based in Sweden, Italy and United States. Magda Bienko's co-authors include Nicola Crosetto, Alexander van Oudenaarden, Ivan Đikić, Siddharth S. Dey, Bastiaan Spanjaard, Lennart Kester, Alan R. Lehmann, Catherine Green, Joaquín Custodio and Kay Hofmann and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Magda Bienko

48 papers receiving 3.8k 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.

Ubiquitin-Binding Domains in Y-Family Polymerases Regulate Translesion Synthesis

2005 587 citations Magda Bienko, Catherine Green et al. profile →
A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart

2019 442 citations Joaquín Custodio, Magda Bienko et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Magda Bienko Sweden	24	3.6k	713	440	388	331	48	3.8k
Jacqueline E. Villalta United States	13	4.2k 1.2×	707 1.0×	270 0.6×	635 1.6×	350 1.1×	16	4.6k
Daniel Ramsköld Sweden	20	3.5k 1.0×	1.1k 1.5×	423 1.0×	479 1.2×	163 0.5×	32	4.5k
Laura A. Banaszynski United States	20	3.2k 0.9×	243 0.3×	348 0.8×	383 1.0×	249 0.8×	36	3.9k
Beth Martin United States	22	2.7k 0.8×	455 0.6×	244 0.6×	1.1k 2.9×	196 0.6×	35	3.5k
Zoi Lygerou Greece	32	3.5k 1.0×	352 0.5×	708 1.6×	527 1.4×	238 0.7×	85	4.0k
Charles H. Li United States	18	4.0k 1.1×	362 0.5×	201 0.5×	558 1.4×	462 1.4×	21	4.5k
Xinglong Wu China	20	3.7k 1.0×	1.2k 1.7×	406 0.9×	433 1.1×	133 0.4×	46	4.4k
Supriya G. Prasanth United States	28	4.5k 1.3×	2.7k 3.8×	254 0.6×	286 0.7×	207 0.6×	60	5.3k
Ephraim Kenigsberg United States	11	2.9k 0.8×	390 0.5×	245 0.6×	394 1.0×	623 1.9×	15	3.5k
Yaniv Lubling Israel	16	3.8k 1.1×	375 0.5×	588 1.3×	492 1.3×	810 2.4×	19	4.6k

Countries citing papers authored by Magda Bienko

Since Specialization

Citations

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

Fields of papers citing papers by Magda Bienko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magda Bienko

This figure shows the co-authorship network connecting the top 25 collaborators of Magda Bienko. A scholar is included among the top collaborators of Magda Bienko 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 Magda Bienko. Magda Bienko 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:

20 of 20 papers shown

Pedrotti, Simona, et al.. (2024). Emerging methods and applications in 3D genomics. Current Opinion in Cell Biology. 90. 102409–102409. 2 indexed citations

Chen, Yvonne Y., Charles L. Evavold, Matthias Mann, et al.. (2024). What tool or method do you wish existed?. Cell. 187(17). 4433–4438. 2 indexed citations

Wernersson, Erik, Eleni Gelali, Su Wang, et al.. (2024). Deconwolf enables high-performance deconvolution of widefield fluorescence microscopy images. Nature Methods. 21(7). 1245–1256. 12 indexed citations

Chen, Jinxin, Honggui Wu, Chong Chen, et al.. (2024). scCircle-seq unveils the diversity and complexity of extrachromosomal circular DNAs in single cells. Nature Communications. 15(1). 1768–1768. 16 indexed citations

Crosetto, Nicola, et al.. (2024). Compartmentalizing damaged DNA: A double-edged sword. Molecular Cell. 84(1). 12–13. 1 indexed citations

Tang, Min, Sergey Belikov, Olga Shilkova, et al.. (2023). Separation of transcriptional repressor and activator functions in Drosophila HDAC3. Development. 150(15). 4 indexed citations

Chiara, Giulia Della, et al.. (2023). Enhancers dysfunction in the 3D genome of cancer cells. Frontiers in Cell and Developmental Biology. 11. 1303862–1303862. 1 indexed citations

Zhang, Ning, Maria Grazia Milia, Francesco Cerutti, et al.. (2021). COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance. Nature Communications. 12(1). 3903–3903. 16 indexed citations

Custodio, Joaquín, Tomasz Kallas, Federico Agostini, et al.. (2020). GPSeq reveals the radial organization of chromatin in the cell nucleus. Nature Biotechnology. 38(10). 1184–1193. 57 indexed citations

10.

Tarbier, Marcel, Sebastian D. Mackowiak, Silvina Catuara‐Solarz, et al.. (2020). Nuclear gene proximity and protein interactions shape transcript covariations in mammalian single cells. Nature Communications. 11(1). 5445–5445. 22 indexed citations

11.

Zhang, Xiaolu, Silvano Garnerone, Marcin Nicoś, et al.. (2019). CUTseq is a versatile method for preparing multiplexed DNA sequencing libraries from low-input samples. Nature Communications. 10(1). 4732–4732. 8 indexed citations

12.

Gelali, Eleni, Masahiro Matsumoto, Erik Wernersson, et al.. (2019). iFISH is a publically available resource enabling versatile DNA FISH to study genome architecture. Nature Communications. 10(1). 1636–1636. 40 indexed citations

13.

Kular, Lara, Manika Vij, Xia Li, et al.. (2019). 633 Human skin long noncoding RNA WAKMAR1 regulates wound healing by enhancing keratinocyte migration. Journal of Investigative Dermatology. 139(9). S323–S323. 2 indexed citations

14.

Mirzazadeh, Reza, Tomasz Kallas, Magda Bienko, & Nicola Crosetto. (2017). Genome-Wide Profiling of DNA Double-Strand Breaks by the BLESS and BLISS Methods. Methods in molecular biology. 1672. 167–194. 11 indexed citations

15.

Mirzazadeh, Reza, Silvano Garnerone, Martin Schneider, et al.. (2017). BLISS is a versatile and quantitative method for genome-wide profiling of DNA double-strand breaks. Nature. 86 indexed citations

16.

Yan, Winston X., Reza Mirzazadeh, Silvano Garnerone, et al.. (2017). BLISS is a versatile and quantitative method for genome-wide profiling of DNA double-strand breaks. Nature Communications. 8(1). 15058–15058. 272 indexed citations

17.

Kind, Jop, Ludo Pagie, Sandra S. de Vries, et al.. (2015). Genome-wide Maps of Nuclear Lamina Interactions in Single Human Cells. Cell. 163(1). 134–147. 332 indexed citations

18.

Semrau, Stefan, Nicola Crosetto, Magda Bienko, et al.. (2014). FuseFISH: Robust Detection of Transcribed Gene Fusions in Single Cells. Cell Reports. 6(1). 18–23. 34 indexed citations

19.

Bienko, Magda, Catherine Green, Simone Sabbioneda, et al.. (2010). Regulation of Translesion Synthesis DNA Polymerase η by Monoubiquitination. Molecular Cell. 37(3). 396–407. 133 indexed citations

20.

Guo, Caixia, Tie-Shan Tang, Magda Bienko, Ivan Đikić, & Errol C. Friedberg. (2007). Requirements for the Interaction of Mouse Polκ with Ubiquitin and Its Biological Significance. Journal of Biological Chemistry. 283(8). 4658–4664. 53 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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