Evgeny Kulesskiy

2.4k total citations
25 papers, 1.2k citations indexed

About

Evgeny Kulesskiy is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Evgeny Kulesskiy has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Biomedical Engineering. Recurrent topics in Evgeny Kulesskiy's work include Proteoglycans and glycosaminoglycans research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Cancer Mechanisms and Therapy (3 papers). Evgeny Kulesskiy is often cited by papers focused on Proteoglycans and glycosaminoglycans research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Cancer Mechanisms and Therapy (3 papers). Evgeny Kulesskiy collaborates with scholars based in Finland, United States and Norway. Evgeny Kulesskiy's co-authors include Krister Wennerberg, Tero Aittokallio, Heikki Rauvala, Sarka Tumova, Bhagwan Yadav, Jani Saarela, Laura Turunen, Anni Hienola, Jing Tang and Olli Kallioniemi and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Evgeny Kulesskiy

25 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evgeny Kulesskiy Finland 19 687 217 173 170 154 25 1.2k
Russell Bell United States 19 1.1k 1.7× 199 0.9× 172 1.0× 85 0.5× 140 0.9× 29 1.7k
Nadia Arang United States 15 772 1.1× 174 0.8× 216 1.2× 224 1.3× 93 0.6× 27 1.2k
Ingrid Remy Canada 14 1.6k 2.4× 300 1.4× 388 2.2× 173 1.0× 103 0.7× 15 2.2k
David R. Loiselle United States 21 927 1.3× 111 0.5× 174 1.0× 52 0.3× 245 1.6× 31 1.3k
Nizar N. Batada United Kingdom 22 2.4k 3.5× 151 0.7× 100 0.6× 96 0.6× 173 1.1× 31 2.7k
J. Fraser Glickman United States 22 1.5k 2.2× 303 1.4× 102 0.6× 159 0.9× 152 1.0× 47 2.2k
Mathieu Lavallée‐Adam Canada 21 1.1k 1.6× 86 0.4× 279 1.6× 115 0.7× 67 0.4× 47 1.6k
Irene Weibrecht Sweden 11 1.0k 1.5× 161 0.7× 218 1.3× 103 0.6× 115 0.7× 15 1.3k
John C. Obenauer United States 11 1.8k 2.6× 196 0.9× 255 1.5× 88 0.5× 362 2.4× 16 2.2k
Mark Uhlik United States 17 907 1.3× 429 2.0× 276 1.6× 71 0.4× 323 2.1× 50 1.9k

Countries citing papers authored by Evgeny Kulesskiy

Since Specialization
Citations

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

Fields of papers citing papers by Evgeny Kulesskiy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evgeny Kulesskiy

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

All Works

20 of 20 papers shown
1.
Skaga, Erlend, Evgeny Kulesskiy, Swapnil Potdar, et al.. (2022). Functional temozolomide sensitivity testing of patient-specific glioblastoma stem cell cultures is predictive of clinical outcome. Translational Oncology. 26. 101535–101535. 3 indexed citations
2.
Tanoli, Ziaurrehman, Jehad Aldahdooh, Yinyin Wang, et al.. (2021). Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments. Briefings in Bioinformatics. 23(1). 8 indexed citations
3.
Torrente, Laura, Jean A. Quinn, Andrea Grilli, et al.. (2020). High NRF2 Levels Correlate with Poor Prognosis in Colorectal Cancer Patients and with Sensitivity to the Kinase Inhibitor AT9283 In Vitro. Biomolecules. 10(10). 1365–1365. 32 indexed citations
4.
Kauko, Otto, Susumu Y. Imanishi, Evgeny Kulesskiy, et al.. (2020). Phosphoproteome and drug-response effects mediated by the three protein phosphatase 2A inhibitor proteins CIP2A, SET, and PME-1. Journal of Biological Chemistry. 295(13). 4194–4211. 45 indexed citations
5.
Skaga, Erlend, Evgeny Kulesskiy, Cecilie Sandberg, et al.. (2019). Intertumoral heterogeneity in patient-specific drug sensitivities in treatment-naïve glioblastoma. BMC Cancer. 19(1). 628–628. 55 indexed citations
6.
Gebreyohannes, Yemarshet K., Agnieszka Woźniak, Olli Tynninen, et al.. (2018). Anagrelide for Gastrointestinal Stromal Tumor. Clinical Cancer Research. 25(5). 1676–1687. 19 indexed citations
7.
Louhimo, Riku, Bhagwan Yadav, Astrid Murumägi, et al.. (2018). Drug-Sensitivity Screening and Genomic Characterization of 45 HPV-Negative Head and Neck Carcinoma Cell Lines for Novel Biomarkers of Drug Efficacy. Molecular Cancer Therapeutics. 17(9). 2060–2071. 32 indexed citations
8.
He, Liye, Evgeny Kulesskiy, Jani Saarela, et al.. (2018). Methods for High-throughput Drug Combination Screening and Synergy Scoring. Methods in molecular biology. 1711. 351–398. 126 indexed citations
9.
Kauko, Otto, Caitlin M. O’Connor, Evgeny Kulesskiy, et al.. (2018). PP2A inhibition is a druggable MEK inhibitor resistance mechanism in KRAS-mutant lung cancer cells. Science Translational Medicine. 10(450). 99 indexed citations
10.
Andersson, Noora, Bhagwan Yadav, Anniina Färkkilä, et al.. (2017). Systematic drug sensitivity testing reveals synergistic growth inhibition by dasatinib or mTOR inhibitors with paclitaxel in ovarian granulosa cell tumor cells. Gynecologic Oncology. 144(3). 621–630. 27 indexed citations
11.
Kauko, Otto, Susumu Y. Imanishi, Evgeny Kulesskiy, et al.. (2017). Abstract 5560: Systemic map of protein phosphatase 2A (PP2A)-regulated phosphotargets and drug responses in cancer cells. Cancer Research. 77(13_Supplement). 5560–5560. 1 indexed citations
12.
Paveliev, Mikhail, Keith K. Fenrich, Mikhail Kislin, et al.. (2016). HB-GAM (pleiotrophin) reverses inhibition of neural regeneration by the CNS extracellular matrix. Scientific Reports. 6(1). 33916–33916. 41 indexed citations
13.
Rouhiainen, Ari, Xiang Zhao, Päivi Vanttola, et al.. (2016). HMGB4 is expressed by neuronal cells and affects the expression of genes involved in neural differentiation. Scientific Reports. 6(1). 32960–32960. 18 indexed citations
14.
Söderholm, Sandra, Denis E. Kainov, Tiina Öhman, et al.. (2016). Phosphoproteomics to Characterize Host Response During Influenza A Virus Infection of Human Macrophages. Molecular & Cellular Proteomics. 15(10). 3203–3219. 57 indexed citations
15.
Andersson, Noora, Bhagwan Yadav, Evgeny Kulesskiy, et al.. (2015). Abstract 1700: Dasatinib and everolimus show synergistic growth inhibition with paclitaxel in an ovarian granulosa cell tumor model. Cancer Research. 75(15_Supplement). 1700–1700. 1 indexed citations
16.
Yadav, Bhagwan, Tea Pemovska, Agnieszka Szwajda, et al.. (2014). Quantitative scoring of differential drug sensitivity for individually optimized anticancer therapies. Scientific Reports. 4(1). 5193–5193. 214 indexed citations
17.
18.
Stylianou, Marios, Evgeny Kulesskiy, José Pedro Lopes, et al.. (2013). Antifungal Application of Nonantifungal Drugs. Antimicrobial Agents and Chemotherapy. 58(2). 1055–1062. 59 indexed citations
19.
Quintero, Ileana B., Annakaisa M. Herrala, Anitta E. Pulkka, et al.. (2013). Transmembrane Prostatic Acid Phosphatase (TMPAP) Interacts with Snapin and Deficient Mice Develop Prostate Adenocarcinoma. PLoS ONE. 8(9). e73072–e73072. 29 indexed citations
20.
Kulesskiy, Evgeny, et al.. (2003). Expression of the recombinant antibacterial peptide sarcotoxin IA in Escherichia coli cells. Protein Expression and Purification. 28(2). 350–356. 65 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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