Vera Bilan

570 total citations
8 papers, 450 citations indexed

About

Vera Bilan is a scholar working on Oncology, Physiology and Molecular Biology. According to data from OpenAlex, Vera Bilan has authored 8 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Vera Bilan's work include PARP inhibition in cancer therapy (6 papers), Calcium signaling and nucleotide metabolism (5 papers) and Toxin Mechanisms and Immunotoxins (3 papers). Vera Bilan is often cited by papers focused on PARP inhibition in cancer therapy (6 papers), Calcium signaling and nucleotide metabolism (5 papers) and Toxin Mechanisms and Immunotoxins (3 papers). Vera Bilan collaborates with scholars based in Switzerland, Germany and Denmark. Vera Bilan's co-authors include Michael O. Hottiger, Mario Leutert, Michael L. Nielsen, Stephanie Jungmichel, Sara C. Buch-Larsen, Clifford Young, Christian Panse, Paolo Nanni, Daniel Mertens and Florian Kuchenbauer and has published in prestigious journals such as Nature Communications, Analytical Chemistry and EMBO Reports.

In The Last Decade

Vera Bilan

8 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vera Bilan Switzerland 6 316 267 125 120 56 8 450
Muzaffer Ahmad Kassab United States 10 387 1.2× 518 1.9× 85 0.7× 47 0.4× 74 1.3× 15 677
Nadia Dani Italy 8 195 0.6× 140 0.5× 120 1.0× 109 0.9× 33 0.6× 13 299
Jofre Font-Mateu Spain 10 148 0.5× 426 1.6× 62 0.5× 29 0.2× 10 0.2× 12 531
C. Phillips United Kingdom 6 109 0.3× 196 0.7× 65 0.5× 47 0.4× 12 0.2× 10 332
Takeyoshi Minaga United States 10 160 0.5× 211 0.8× 69 0.6× 32 0.3× 16 0.3× 18 363
E. Kouznetsova Sweden 2 307 1.0× 223 0.8× 95 0.8× 47 0.4× 81 1.4× 2 391
Sebastian Veith Germany 9 206 0.7× 238 0.9× 41 0.3× 35 0.3× 39 0.7× 11 333
Zain M. Hannan United States 5 342 1.1× 236 0.9× 42 0.3× 14 0.1× 61 1.1× 6 419
Avital Bareket‐Samish Israel 11 90 0.3× 360 1.3× 18 0.1× 36 0.3× 5 0.1× 33 535
Charlotte Blessing Germany 5 168 0.5× 397 1.5× 39 0.3× 19 0.2× 29 0.5× 7 463

Countries citing papers authored by Vera Bilan

Since Specialization
Citations

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

Fields of papers citing papers by Vera Bilan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Bilan

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

All Works

8 of 8 papers shown
1.
Pedrioli, Deena M. Leslie, Mario Leutert, Vera Bilan, et al.. (2018). Comprehensive ADP‐ribosylome analysis identifies tyrosine as an ADP‐ribose acceptor site. EMBO Reports. 19(8). 79 indexed citations
2.
Bilan, Vera, et al.. (2017). New Quantitative Mass Spectrometry Approaches Reveal Different ADP-ribosylation Phases Dependent On the Levels of Oxidative Stress. Molecular & Cellular Proteomics. 16(5). 949–958. 37 indexed citations
3.
Leutert, Mario, Vera Bilan, Peter Gehrig, & Michael O. Hottiger. (2017). Identification of ADP-Ribose Acceptor Sites on In Vitro Modified Proteins by Liquid Chromatography–Tandem Mass Spectrometry. Methods in molecular biology. 1608. 137–148. 4 indexed citations
4.
Buch-Larsen, Sara C., Mario Leutert, Vera Bilan, et al.. (2017). Proteome-Wide Identification of In Vivo ADP-Ribose Acceptor Sites by Liquid Chromatography–Tandem Mass Spectrometry. Methods in molecular biology. 1608. 149–162. 31 indexed citations
5.
Leutert, Mario, Stephanie Jungmichel, Vera Bilan, et al.. (2016). Proteome-wide identification of the endogenous ADP-ribosylome of mammalian cells and tissue. Nature Communications. 7(1). 12917–12917. 166 indexed citations
6.
Bilan, Vera, Mario Leutert, Paolo Nanni, Christian Panse, & Michael O. Hottiger. (2016). Combining Higher-Energy Collision Dissociation and Electron-Transfer/Higher-Energy Collision Dissociation Fragmentation in a Product-Dependent Manner Confidently Assigns Proteomewide ADP-Ribose Acceptor Sites. Analytical Chemistry. 89(3). 1523–1530. 66 indexed citations
7.
Bilan, Vera, et al.. (2013). In Vivo Processing Assay Based on a Dual-Luciferase Reporter System to Evaluate DROSHA Enzymatic Activity. Methods in molecular biology. 1095. 87–93. 4 indexed citations
8.
Bilan, Vera, et al.. (2013). Defective DROSHA processing contributes to downregulation of MiR-15/-16 in chronic lymphocytic leukemia. Leukemia. 28(1). 98–107. 63 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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