Natalia E. Moskaleva

615 total citations
59 papers, 418 citations indexed

About

Natalia E. Moskaleva is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Natalia E. Moskaleva has authored 59 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 10 papers in Pharmacology and 9 papers in Pharmacology. Recurrent topics in Natalia E. Moskaleva's work include Metabolomics and Mass Spectrometry Studies (18 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Tryptophan and brain disorders (7 papers). Natalia E. Moskaleva is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (18 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Tryptophan and brain disorders (7 papers). Natalia E. Moskaleva collaborates with scholars based in Russia, Italy and Belarus. Natalia E. Moskaleva's co-authors include Svetlana A. Appolonova, Alex Brito, Izotov Bn, Andrej Grigoryev, Franco Tagliaro, Michael R. La Frano, Alexander I. Archakov, Victor G. Zgoda, Светлана Новикова and M. V. Kozhevnikova and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Natalia E. Moskaleva

52 papers receiving 408 citations

Peers

Natalia E. Moskaleva
Svetlana A. Appolonova Russia
Brianna L. Peterson United States
Luciana Grazziotin Rossato Brazil
Leen Lootens Belgium
Klaus-Dieter Krüger Germany
Gregory S. Keyes United States
Oliver Krug Germany
Helena K. Nordgren Sweden
Thomas Bassindale United Kingdom
Koichi Suenami Japan
Svetlana A. Appolonova Russia
Natalia E. Moskaleva
Citations per year, relative to Natalia E. Moskaleva Natalia E. Moskaleva (= 1×) peers Svetlana A. Appolonova

Countries citing papers authored by Natalia E. Moskaleva

Since Specialization
Citations

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

Fields of papers citing papers by Natalia E. Moskaleva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia E. Moskaleva. 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 Natalia E. Moskaleva. The network helps show where Natalia E. Moskaleva may publish in the future.

Co-authorship network of co-authors of Natalia E. Moskaleva

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia E. Moskaleva. A scholar is included among the top collaborators of Natalia E. Moskaleva 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 Natalia E. Moskaleva. Natalia E. Moskaleva 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.
Kozhevnikova, M. V., et al.. (2025). Metabolomic Panel for the Diagnosis of Heart Failure with Preserved Ejection Fraction. International Journal of Molecular Sciences. 26(5). 2102–2102. 1 indexed citations
2.
Moskaleva, Natalia E., et al.. (2024). Threonine In Different Phenotypes Of Chronic Heart Failure With Preserved Ejection Fraction. SHILAP Revista de lepidopterología. 13(3).
3.
Kozhevnikova, M. V., et al.. (2024). Left Ventricular Remodeling Predictors in Chronic Heart Failure of Ischemic Etiology. Kardiologiia. 64(11). 106–116.
4.
Moskaleva, Natalia E., et al.. (2024). Pharmacokinetics, tissue distribution, bioavailability and excretion of the anti-virulence drug Fluorothiazinon in rats and rabbits. The Journal of Antibiotics. 77(6). 382–388. 2 indexed citations
5.
Appolonova, Svetlana A., et al.. (2024). Development of an Intranasal In Situ System for Ribavirin Delivery: In Vitro and In Vivo Evaluation. Pharmaceutics. 16(9). 1125–1125. 1 indexed citations
6.
Шестопалов, А. В., et al.. (2023). Interrelation between <i>Pseudomonas aeruginosa</i> quinolone signal and the level of immunoglobulins in the blood of patients with lung cancer. SHILAP Revista de lepidopterología. 10(2). 126–131.
7.
Kozhevnikova, M. V., et al.. (2023). Plasma branched-chain amino acid concentrations in individuals without cardiovascular diseases versus patients diagnosed with hypertension and coronary artery disease. SHILAP Revista de lepidopterología. 19(3). 230–239. 1 indexed citations
8.
Belenkov, Yu. N., et al.. (2023). Relationship of Acylcarnitines to Myocardial Ischemic Remodeling and Clinical Manifestations in Chronic Heart Failure. Journal of Cardiovascular Development and Disease. 10(10). 438–438. 3 indexed citations
9.
Moskaleva, Natalia E., et al.. (2023). Pharmacokinetics, quorum-sensing signal molecules and tryptophan-related metabolomics of the novel anti-virulence drug Fluorothiazinon in a Pseudomonas aeruginosa-induced pneumonia murine model. Journal of Pharmaceutical and Biomedical Analysis. 236. 115739–115739. 7 indexed citations
10.
11.
Olesti, Eulàlia, Julien Boccard, Natalia E. Moskaleva, et al.. (2023). Low-polarity untargeted metabolomic profiling as a tool to gain insight into seminal fluid. Metabolomics. 19(6). 53–53. 4 indexed citations
12.
Appolonova, Svetlana A., et al.. (2022). Metabolism of tryptophan in non-small lung cancer patients with different effect of PD-1 / PD-L1 inhibitors immunotherapy. SHILAP Revista de lepidopterología. 9(2). 89–96. 2 indexed citations
13.
Moskaleva, Natalia E., M. V. Kozhevnikova, Alex Brito, et al.. (2022). Target Metabolome Profiling-Based Machine Learning as a Diagnostic Approach for Cardiovascular Diseases in Adults. Metabolites. 12(12). 1185–1185. 14 indexed citations
14.
Kozhevnikova, M. V., et al.. (2022). Aromatic Amino Acids: Phenylalanine and Tyrosine in Patients with Hypertension and Coronary Artery Disease. SHILAP Revista de lepidopterología. 18(3). 297–305.
15.
16.
Appolonova, Svetlana A., et al.. (2021). Tryptophan metabolites in serum and feces of patients with non-small cell lung cancer. Yakut Medical Journal. 94–96. 1 indexed citations
17.
Brito, Alex, et al.. (2021). Short- and long-term exposures of the synthetic cannabinoid 5F-APINAC induce metabolomic alterations associated with neurotransmitter systems and embryotoxicity confirmed by teratogenicity in zebrafish. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 243. 109000–109000. 15 indexed citations
18.
Brito, Alex, M. V. Kozhevnikova, Natalia E. Moskaleva, et al.. (2020). Relationship between the plasma acylcarnitine profile and cardiometabolic risk factors in adults diagnosed with cardiovascular diseases. Clinica Chimica Acta. 507. 250–256. 25 indexed citations
19.
As, Ivanov, A. E. Medvedev, О.А. Бунеева, et al.. (2016). The influence of gravity discharge on the content of isatin-binding proteins in mice: The results of ground-based and space research under the program BION-M no. 1. Biochemistry (Moscow) Supplement Series B Biomedical Chemistry. 10(3). 227–229. 2 indexed citations
20.
Petushkova, N. A., et al.. (2015). The possibility of using the PlasmaDeepDive™ MRM-panel in clinical diagnostics. Biochemistry (Moscow) Supplement Series B Biomedical Chemistry. 9(3). 283–289.

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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