Marina E. Borisova

506 total citations
10 papers, 339 citations indexed

About

Marina E. Borisova is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Marina E. Borisova has authored 10 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Pharmacology. Recurrent topics in Marina E. Borisova's work include RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (4 papers). Marina E. Borisova is often cited by papers focused on RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (4 papers). Marina E. Borisova collaborates with scholars based in Germany, Russia and United States. Marina E. Borisova's co-authors include Petra Beli, Sebastian Wagner, Christof R. Hauck, Petra Muenzner, Andrea Voigt, Stefanie Ruf, Giuseppe Petrosino, Jan B. Heidelberger, Sanjeeb Kumar Sahu and Simon Bekker‐Jensen and has published in prestigious journals such as Nature Communications, PLoS ONE and Current Opinion in Cell Biology.

In The Last Decade

Marina E. Borisova

10 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marina E. Borisova Germany 8 269 59 44 44 41 10 339
Agnès M. Jaulent United Kingdom 12 397 1.5× 67 1.1× 26 0.6× 45 1.0× 16 0.4× 15 539
Abdul Qader Abbady Syria 12 397 1.5× 61 1.0× 31 0.7× 71 1.6× 19 0.5× 35 538
Bipin C. Dash United States 10 253 0.9× 127 2.2× 53 1.2× 28 0.6× 37 0.9× 10 443
Siji Nian China 11 104 0.4× 43 0.7× 29 0.7× 85 1.9× 19 0.5× 29 287
Maja Edenius United States 4 277 1.0× 36 0.6× 25 0.6× 58 1.3× 69 1.7× 6 425
Jon J. Schmuke United States 11 238 0.9× 27 0.5× 22 0.5× 74 1.7× 27 0.7× 14 373
Dake Wang China 9 194 0.7× 67 1.1× 27 0.6× 85 1.9× 13 0.3× 14 307
Sha Zhu China 13 142 0.5× 62 1.1× 58 1.3× 53 1.2× 12 0.3× 24 323
Gerry Hagens Switzerland 9 287 1.1× 32 0.5× 78 1.8× 139 3.2× 36 0.9× 9 394
Andreas van de Locht Germany 9 240 0.9× 45 0.8× 61 1.4× 82 1.9× 21 0.5× 12 522

Countries citing papers authored by Marina E. Borisova

Since Specialization
Citations

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

Fields of papers citing papers by Marina E. Borisova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marina E. Borisova. 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 Marina E. Borisova. The network helps show where Marina E. Borisova may publish in the future.

Co-authorship network of co-authors of Marina E. Borisova

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

All Works

10 of 10 papers shown
1.
Borisova, Marina E., Andrea Voigt, Maxim A. X. Tollenaere, et al.. (2018). p38-MK2 signaling axis regulates RNA metabolism after UV-light-induced DNA damage. Nature Communications. 9(1). 1017–1017. 61 indexed citations
2.
Heidelberger, Jan B., Andrea Voigt, Marina E. Borisova, et al.. (2018). Proteomic profiling of VCP substrates links VCP to K6‐linked ubiquitylation and c‐Myc function. EMBO Reports. 19(4). 82 indexed citations
3.
Borisova, Marina E., Sigrid Reichardt, Maren Godmann, et al.. (2017). HSP90 is necessary for the ACK1-dependent phosphorylation of STAT1 and STAT3. Cellular Signalling. 39. 9–17. 31 indexed citations
4.
Borisova, Marina E., Sebastian Wagner, & Petra Beli. (2017). Mass Spectrometry-Based Proteomics for Quantifying DNA Damage-Induced Phosphorylation. Methods in molecular biology. 1599. 215–227. 11 indexed citations
5.
Sahu, Sanjeeb Kumar, Neha Tiwari, Abhijeet Pataskar, et al.. (2017). FBXO32 promotes microenvironment underlying epithelial-mesenchymal transition via CtBP1 during tumour metastasis and brain development. Nature Communications. 8(1). 1523–1523. 47 indexed citations
6.
Танас, А. С., Marina E. Borisova, Ekaterina Kuznetsova, et al.. (2017). Rapid and Affordable Genome-Wide Bisulfite DNA Sequencing by XmaI-Reduced Representation Bisulfite Sequencing. Epigenomics. 9(6). 833–847. 10 indexed citations
8.
Танас, А. С., et al.. (2015). Reduced representation bisulfite sequencing design for assessing the methylation of human CpG islands in large samples. Molecular Biology. 49(4). 618–626. 3 indexed citations
9.
Malko, Dmitry B., Olga N. Sekurova, Harald Bredholt, et al.. (2014). Genomics of Sponge-Associated Streptomyces spp. Closely Related to Streptomyces albus J1074: Insights into Marine Adaptation and Secondary Metabolite Biosynthesis Potential. PLoS ONE. 9(5). e96719–e96719. 38 indexed citations
10.
Hauck, Christof R., Marina E. Borisova, & Petra Muenzner. (2012). Exploitation of integrin function by pathogenic microbes. Current Opinion in Cell Biology. 24(5). 637–644. 55 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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