Vera Grinkevich

1.9k total citations
12 papers, 508 citations indexed

About

Vera Grinkevich is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Vera Grinkevich has authored 12 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Biotechnology. Recurrent topics in Vera Grinkevich's work include Cancer-related Molecular Pathways (7 papers), Cancer Research and Treatments (4 papers) and RNA modifications and cancer (3 papers). Vera Grinkevich is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Cancer Research and Treatments (4 papers) and RNA modifications and cancer (3 papers). Vera Grinkevich collaborates with scholars based in Sweden, Russia and United Kingdom. Vera Grinkevich's co-authors include Galina Selivanova, Fedor Nikulenkov, Wenjie Bao, Alexander Kel, Martin Enge, Michael B. Sherman, Célia Plisson‐Chastang, Elena V. Orlova, Andrei L. Okorokov and Kristmundur Sigmundsson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and The EMBO Journal.

In The Last Decade

Vera Grinkevich

12 papers receiving 502 citations

Peers

Vera Grinkevich

ONCOL

BIOTE

PRM

Ariane Scoumanne United States

Vidusha Devasthali United States

Andrew Zupnick United States

Ramona Schulz Germany

Joël P. Charles Germany

Rosa E. Menjivar United States

Alessandra Ianari United States

Ali Rihani Belgium

Wanyin Chen China

Ana Contente Germany

Ariane Scoumanne United States

Vera Grinkevich

614 ×1.5

227 ×0.7

ONCOL

103 ×0.9

40 ×0.8

BIOTE

36 ×0.9

PRM

Citations per year, relative to Vera Grinkevich Vera Grinkevich (= 1×) peers Ariane Scoumanne

Countries citing papers authored by Vera Grinkevich

Since Specialization

Citations

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

Fields of papers citing papers by Vera Grinkevich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Grinkevich

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

All Works

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12 of 12 papers shown

Robinson, Helen M., Elias Elinati, Emily Graham, et al.. (2025). Abstract 2905: Combination of the ATR inhibitor, ART0380, with irinotecan for treating ATM-negative tumors. Cancer Research. 85(8_Supplement_1). 2905–2905. 1 indexed citations

Grinkevich, Vera, Natalia Issaeva, Virginia Andreotti, et al.. (2022). Novel Allosteric Mechanism of Dual p53/MDM2 and p53/MDM4 Inhibition by a Small Molecule. Frontiers in Molecular Biosciences. 9. 823195–823195. 5 indexed citations

Beláň, Ondrej, Roopesh Anand, Aleksandra Vančevska, et al.. (2022). POLQ seals post-replicative ssDNA gaps to maintain genome stability in BRCA-deficient cancer cells. Molecular Cell. 82(24). 4664–4680.e9. 72 indexed citations

Zawacka‐Pankau, Joanna, Vera Grinkevich, Sabine Hünten, et al.. (2011). Inhibition of Glycolytic Enzymes Mediated by Pharmacologically Activated p53. Journal of Biological Chemistry. 286(48). 41600–41615. 103 indexed citations

Spinnler, Clemens, Elisabeth Hedström, Haitao Li, et al.. (2011). Abrogation of Wip1 expression by RITA-activated p53 potentiates apoptosis induction via activation of ATM and inhibition of HdmX. Cell Death and Differentiation. 18(11). 1736–1745. 33 indexed citations

Grinkevich, Vera, et al.. (2010). Rescue of the apoptotic-inducing function of mutant p53 by small molecule RITA. Cell Cycle. 9(9). 1847–1855. 68 indexed citations

Kharchenko, O. A., et al.. (2010). Learning-induced lateralized activation of the MAPK/ERK cascade in identified neurons of the food-aversion network in the mollusk Helix lucorum. Neurobiology of Learning and Memory. 94(2). 158–166. 17 indexed citations

Grinkevich, Vera, Fedor Nikulenkov, Yao Shi, et al.. (2009). Ablation of Key Oncogenic Pathways by RITA-Reactivated p53 Is Required for Efficient Apoptosis. Cancer Cell. 15(5). 441–453. 93 indexed citations

Okorokov, Andrei L., Michael B. Sherman, Célia Plisson‐Chastang, et al.. (2006). The structure of p53 tumour suppressor protein reveals the basis for its functional plasticity. The EMBO Journal. 25(21). 5191–5200. 97 indexed citations

10.

Grinkevich, Vera, et al.. (2005). Reply to 'NMR indicates that the small molecule RITA does not block p53-MDM2 binding in vitro'. Nature Medicine. 11(11). 1136–1137. 10 indexed citations

11.

Pendina, Anna A., et al.. (2004). DNA metylation as one of the main mechanisms of gene activity regulation. Ecological genetics. 2(1). 27–37. 7 indexed citations

12.

Grinkevich, Vera, et al.. (2004). Comparative Analysis of the Activation of the Elk-1 Transcription Factor in the Central Nervous System of Animals with Different Learning Capacities. Doklady Biological Sciences. 397(1-6). 269–272. 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.

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