Maria Kovalenko

666 total citations
23 papers, 507 citations indexed

About

Maria Kovalenko is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Maria Kovalenko has authored 23 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Maria Kovalenko's work include Carcinogens and Genotoxicity Assessment (3 papers), Enzyme Catalysis and Immobilization (3 papers) and Nanoparticles: synthesis and applications (3 papers). Maria Kovalenko is often cited by papers focused on Carcinogens and Genotoxicity Assessment (3 papers), Enzyme Catalysis and Immobilization (3 papers) and Nanoparticles: synthesis and applications (3 papers). Maria Kovalenko collaborates with scholars based in United States, Russia and Ukraine. Maria Kovalenko's co-authors include Sycheva Lp, Zhurkov Vs, Victoria Smith, А. Д. Дурнев, Vivian Barry-Hamilton, Amanda Mikels‐Vigdal, Brett Jorgensen, Carlos García, Derek Marshall and Ruth Wang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Maria Kovalenko

23 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Kovalenko United States 8 157 150 143 100 77 23 507
Jee Young Kwon South Korea 12 101 0.6× 140 0.9× 132 0.9× 107 1.1× 24 0.3× 20 507
Deborah A. Knight United States 14 188 1.2× 315 2.1× 159 1.1× 89 0.9× 57 0.7× 23 754
Junrong Wu China 10 93 0.6× 107 0.7× 52 0.4× 98 1.0× 38 0.5× 20 384
Ji-Young Jang South Korea 16 86 0.5× 323 2.2× 179 1.3× 135 1.4× 205 2.7× 28 780
Chong Zhou China 13 124 0.8× 210 1.4× 131 0.9× 23 0.2× 72 0.9× 26 523
Qingying Wang China 16 61 0.4× 261 1.7× 165 1.2× 72 0.7× 46 0.6× 40 533
Xujun Song China 9 279 1.8× 173 1.2× 104 0.7× 46 0.5× 146 1.9× 10 628
Taichun Qin United States 12 70 0.4× 540 3.6× 98 0.7× 140 1.4× 33 0.4× 15 849
Xuan Su China 16 119 0.8× 469 3.1× 240 1.7× 33 0.3× 68 0.9× 57 799
Zahraa I. Khamis United States 10 85 0.5× 156 1.0× 68 0.5× 42 0.4× 38 0.5× 18 499

Countries citing papers authored by Maria Kovalenko

Since Specialization
Citations

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

Fields of papers citing papers by Maria Kovalenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Kovalenko

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Kovalenko. A scholar is included among the top collaborators of Maria Kovalenko 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 Maria Kovalenko. Maria Kovalenko 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.
Strissel, Pamela L., Reiner Strick, Carol Geppert, et al.. (2024). Associations of TACSTD2/TROP2 and NECTIN‐4/NECTIN‐4 with molecular subtypes, PD‐L1 expression, and FGFR3 mutational status in two advanced urothelial bladder cancer cohorts. Histopathology. 84(5). 863–876. 17 indexed citations
2.
Strissel, Pamela L., Reiner Strick, Carol‐Immanuel Geppert, et al.. (2023). Associations of TACSTD2/TROP2 and NECTIN-4/NECTIN-4 with molecular subtypes, PD-L1 expression and FGFR3 mutational status in two advanced urothelial bladder cancer cohorts.. Journal of Clinical Oncology. 41(6_suppl). 554–554. 1 indexed citations
3.
4.
Musina, R. A., et al.. (2019). The use of autologous mesenchymal stem cells for endometrial repair in patients with lower fertility. Voprosy ginekologii akušerstva i perinatologii. 18(6). 34–40. 1 indexed citations
5.
Lerner, Alana G., Maria Kovalenko, Megan J. Welch, et al.. (2019). Abstract 5012: Targeting CD39 with a first-in-class inhibitory antibody prevents ATP processing and increases T-cell activation. Cancer Research. 79(13_Supplement). 5012–5012. 4 indexed citations
6.
O’Sullivan, Chris, Maria Kovalenko, Andrew E. Greenstein, et al.. (2018). MMP-9 inhibition promotes anti-tumor immunity through disruption of biochemical and physical barriers to T-cell trafficking to tumors. PLoS ONE. 13(11). e0207255–e0207255. 71 indexed citations
7.
Kovalenko, Maria, et al.. (2018). Pregnancy and labor outcomes in women with thyroid diseases living under subarctic conditions. Russian Bulletin of Obstetrician-Gynecologist. 18(4). 44–44. 1 indexed citations
8.
Vs, Zhurkov, et al.. (2017). Features of the Mutagenic and Cytotoxic Effects of Nanosilver and Silver Sulfate in Mice. Nanotechnologies in Russia. 12(11-12). 667–672. 2 indexed citations
9.
Marshall, Derek, Susan K. Lyman, Scott McCauley, et al.. (2015). Selective Allosteric Inhibition of MMP9 Is Efficacious in Preclinical Models of Ulcerative Colitis and Colorectal Cancer. PLoS ONE. 10(5). e0127063–e0127063. 165 indexed citations
10.
Lp, Sycheva, et al.. (2015). Dioxins and cytogenetic status of villagers after 40 years of agent Orange application in Vietnam. Chemosphere. 144. 1415–1420. 14 indexed citations
11.
Lp, Sycheva, et al.. (2015). Study of mutagenic and cytotoxic effects of multiwalled carbon nanotubes and activated carbon in six organs of mice in vivo. Nanotechnologies in Russia. 10(3-4). 311–317. 5 indexed citations
12.
Lad, Latesh, et al.. (2014). High-Throughput Kinetic Screening of Hybridomas to Identify High-Affinity Antibodies Using Bio-Layer Interferometry. SLAS DISCOVERY. 20(4). 498–507. 31 indexed citations
13.
Lp, Sycheva, et al.. (2011). Investigation of genotoxic and cytotoxic effects of micro- and nanosized titanium dioxide in six organs of mice in vivo. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 726(1). 8–14. 124 indexed citations
14.
Lp, Sycheva, et al.. (2010). [The cytogenetic status of children living in the vicinity of a pulp-and-paper mill].. PubMed. 7–10. 4 indexed citations
15.
Lp, Sycheva, et al.. (2008). Cytogenetic indexes, proliferation and apoptosis in epithelial cells of children with bronchial asthma. PULMONOLOGIYA. 67–70. 2 indexed citations
16.
Lp, Sycheva, et al.. (2005). Evaluation of Mutagenic Activity of Dioxazid by the Polyorgan Micronuclear Method in Experiments on Rats. Bulletin of Experimental Biology and Medicine. 140(5). 532–534. 1 indexed citations
17.
Lp, Sycheva, et al.. (2004). Study of Mutagenic Activity of Dioxidine by the Polyorgan Micronuclear Method. Bulletin of Experimental Biology and Medicine. 138(2). 165–167. 6 indexed citations
18.
Pirog, Tatiana, et al.. (2004). Physicochemical Properties of the Microbial Exopolysaccharide Ethapolan Synthesized on a Mixture of Growth Substrates. Microbiology. 73(1). 14–18. 2 indexed citations
19.
20.
Pirog, Tatiana, et al.. (2002). Exopolysaccharide Production and Peculiarities of C6-Metabolism in Acinetobacter sp. Grown on Carbohydrate Substrates. Microbiology. 71(2). 182–188. 13 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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