Andrey Lisitsa

1.5k total citations
101 papers, 1.0k citations indexed

About

Andrey Lisitsa is a scholar working on Molecular Biology, Spectroscopy and Pharmacology. According to data from OpenAlex, Andrey Lisitsa has authored 101 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 29 papers in Spectroscopy and 8 papers in Pharmacology. Recurrent topics in Andrey Lisitsa's work include Advanced Proteomics Techniques and Applications (29 papers), Metabolomics and Mass Spectrometry Studies (18 papers) and Advanced biosensing and bioanalysis techniques (15 papers). Andrey Lisitsa is often cited by papers focused on Advanced Proteomics Techniques and Applications (29 papers), Metabolomics and Mass Spectrometry Studies (18 papers) and Advanced biosensing and bioanalysis techniques (15 papers). Andrey Lisitsa collaborates with scholars based in Russia, United Kingdom and Italy. Andrey Lisitsa's co-authors include Alexander I. Archakov, Elena A. Ponomarenko, Victor G. Zgoda, Ivanov As, O.V. Gnedenko, Alexander I. Archakov, Yuri V. Mezentsev, Ekaterina V. Poverennaya, Sergei A. Moshkovskii and Ekaterina V. Ilgisonis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Andrey Lisitsa

92 papers receiving 978 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrey Lisitsa Russia 19 730 249 138 77 62 101 1.0k
А.В. Лисица Russia 14 526 0.7× 204 0.8× 78 0.6× 61 0.8× 51 0.8× 70 802
O.V. Gnedenko Russia 17 518 0.7× 75 0.3× 127 0.9× 121 1.6× 85 1.4× 77 887
Martin Norin Sweden 12 855 1.2× 272 1.1× 81 0.6× 94 1.2× 42 0.7× 29 1.0k
Elena A. Ponomarenko Russia 16 638 0.9× 268 1.1× 56 0.4× 25 0.3× 20 0.3× 82 826
Olga V. Nemirovskiy United States 23 592 0.8× 393 1.6× 48 0.3× 19 0.2× 58 0.9× 32 1.4k
Valentina Cappelletti Switzerland 8 705 1.0× 249 1.0× 61 0.4× 12 0.2× 12 0.2× 12 963
Eugene Kirillov Russia 12 765 1.0× 81 0.3× 140 1.0× 24 0.3× 124 2.0× 15 1.1k
Tamer S. Kaoud United States 27 1.2k 1.6× 210 0.8× 69 0.5× 16 0.2× 14 0.2× 68 1.7k
Olga V. Tikhonova Russia 17 473 0.6× 190 0.8× 49 0.4× 12 0.2× 31 0.5× 80 803

Countries citing papers authored by Andrey Lisitsa

Since Specialization
Citations

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

Fields of papers citing papers by Andrey Lisitsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrey Lisitsa

This figure shows the co-authorship network connecting the top 25 collaborators of Andrey Lisitsa. A scholar is included among the top collaborators of Andrey Lisitsa 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 Andrey Lisitsa. Andrey Lisitsa 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.
2.
Gnedenko, O.V., И. С. Левин, Dmitry D. Zhdanov, et al.. (2025). The SPR analysis of the interaction of inactivated poliovirus vaccine attenuated strains with antibodies. Biomeditsinskaya Khimiya. 71(1). 59–64.
3.
Khmeleva, Svetlana A., et al.. (2024). Detection of Potato Pathogen Clavibacter sepedonicus by CRISPR/Cas13a Analysis of NASBA Amplicons. International Journal of Molecular Sciences. 25(22). 12218–12218. 4 indexed citations
4.
Kurbatov, Leonid K., et al.. (2024). Recombinase polymerase and loop isothermal amplification in DNA diagnostics of infectious diseases. Журнал аналитической химии. 79(3). 210–228. 1 indexed citations
5.
Khmeleva, Svetlana A., Elena V. Suprun, Leonid K. Kurbatov, et al.. (2024). Effect of poly(dA) stretch in a template sequence on the rate and yield of polymerase chain reaction with electroactive modified 2′-deoxyuridine-5′-triphosphates. Microchemical Journal. 207. 111970–111970. 1 indexed citations
6.
Кухарчук, В. В., Andrey Lisitsa, Elena A. Ponomarenko, et al.. (2024). Ultra-small phospholipid nanoparticles in the treatment of combined hyperlipidemia: a randomized placebo-controlled clinical trial. Research in Pharmaceutical Sciences. 19(6). 656–668. 3 indexed citations
7.
Malsagova, Kristina A., et al.. (2023). BioVitrina web repository — access to data on bioresource collections. CARDIOVASCULAR THERAPY AND PREVENTION. 22(11). 3720–3720. 1 indexed citations
8.
Radko, Sergey P., Svetlana A. Khmeleva, Leonid K. Kurbatov, et al.. (2023). Principal Component Analysis of Alternative Splicing Profiles Revealed by Long-Read ONT Sequencing in Human Liver Tissue and Hepatocyte-Derived HepG2 and Huh7 Cell Lines. International Journal of Molecular Sciences. 24(21). 15502–15502. 3 indexed citations
9.
Radko, Sergey P., Svetlana A. Khmeleva, Leonid K. Kurbatov, et al.. (2023). Comparison of Alternative Splicing Landscapes Revealed by Long-Read Sequencing in Hepatocyte-Derived HepG2 and Huh7 Cultured Cells and Human Liver Tissue. Biology. 12(12). 1494–1494. 1 indexed citations
10.
Archakov, Alexander I., Ekaterina V. Ilgisonis, Andrey Lisitsa, et al.. (2022). Number of Detected Proteins as the Function of the Sensitivity of ProteomicTechnology in Human Liver Cells. Current Protein and Peptide Science. 23(4). 290–298. 6 indexed citations
11.
Maslov, Dmitry L., Nadezhda Zemskaya, Oxana P. Trifonova, et al.. (2021). Comparative Metabolomic Study of Drosophila Species with Different Lifespans. International Journal of Molecular Sciences. 22(23). 12873–12873. 5 indexed citations
12.
Kopylov, Arthur T., et al.. (2018). Manual method of visually identifying candidate signals for a targeted peptide. Journal of Chromatography B. 1083. 258–270. 1 indexed citations
13.
14.
Ponomarenko, Elena A., Ekaterina V. Poverennaya, Ekaterina V. Ilgisonis, et al.. (2017). Prospects in studying the human proteome. Herald of the Russian Academy of Sciences. 87(4). 318–323. 2 indexed citations
15.
Ilgisonis, Ekaterina V., et al.. (2016). Use of scientific social networking to improve the research strategies of PubMed readers. BMC Research Notes. 9(1). 113–113. 1 indexed citations
16.
Pyatnitskiy, Mikhail A., Dmitry S. Karpov, Ekaterina V. Poverennaya, Andrey Lisitsa, & Sergei A. Moshkovskii. (2015). Bringing Down Cancer Aircraft: Searching for Essential Hypomutated Proteins in Skin Melanoma. PLoS ONE. 10(11). e0142819–e0142819. 13 indexed citations
17.
Amelio, Ivano, Nick A. Barlev, Richard A. Knight, et al.. (2015). Perspective on Multi-Target Antiplatelet Therapies: High Content Phenotypic Screening as an Unbiased Source of Novel Polypharmacological Strategies. Mini-Reviews in Medicinal Chemistry. 15(8). 622–629. 3 indexed citations
18.
Lisitsa, Andrey, et al.. (2014). Profiling proteoforms: promising follow-up of proteomics for biomarker discovery. Expert Review of Proteomics. 11(1). 121–129. 36 indexed citations
19.
20.
Archakov, Alexander I., et al.. (2009). Biospecific irreversible fishing coupled with atomic force microscopy for detection of extremely low‐abundant proteins. PROTEOMICS. 9(5). 1326–1343. 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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