Maria Kovalenko

680 citations
23 papers · 519 · h-index 8

Impact in

    • Protease and Inhibitor Mechanisms
    • Carcinogens and Genotoxicity Assessment
    • Peptidase Inhibition and Analysis

Papers in

Maria Kovalenko

23 papers receiving 511 citations

Peers

Maria Kovalenko
Comparison fields: 5 of 98
  • Cancer Research 138
  • Oncology 143
  • Physiology 26
  • Health, Toxicology and Mutagenesis 61
  • Immunology 69
Replace Ji-Young Jang with:
Ji-Young Jang South Korea
Xiaofeng Lai China
Xiaoling Zhu China
Bingyi Lin China
Xuehai Wang China
Min Ah Kang South Korea
Shibo Ying China
Shiyong Qi China
Elwira Stróżyk Germany
Piao Zhao China
Maria Kovalenko relative to Ji-Young Jang South Korea Ji-Young Jang's profile →
Citations per field
00.5×2.6×
Ji-Young Jang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Maria Kovalenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maria Kovalenko Line = papers co-authored together Maria Kovalenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015168
2 2011125
3 201876
4 202033
5 201431
6 202419
7 201514
8 200212
9 20037
10 20046
11 20155
12 20194
13
[The cytogenetic status of children living in the vicinity of a pulp-and-paper mill].
20104
14 20082
15 20202
16 20042
17 20032
18 20172
19 20231
20 20191

About Maria Kovalenko

Maria Kovalenko is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Materials Chemistry and Surgery, having authored 23 papers that have together received 519 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (3 papers), Nanoparticles: synthesis and applications (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Adenosine and Purinergic Signaling (2 papers), RNA Interference and Gene Delivery (2 papers), Air Quality and Health Impacts (2 papers), Thyroid Disorders and Treatments (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (138 citations), Oncology (143 citations), Physiology (26 citations), Health, Toxicology and Mutagenesis (61 citations) and Immunology (69 citations). Maria Kovalenko has collaborated with scholars based in United States, Russia and Ukraine. Frequent co-authors include Sycheva Lp, Zhurkov Vs, Victoria Smith, А. Д. Дурнев, Amanda Mikels‐Vigdal, Vivian Barry-Hamilton, Susan K. Lyman, Joanne I. Adamkewicz, Carlos García and Michael Lee. Their work appears in journals such as PLoS ONE, Cancer Research, Journal of Clinical Oncology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and SLAS DISCOVERY.

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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