Lev I. Levitsky

1.3k total citations
40 papers, 724 citations indexed

About

Lev I. Levitsky is a scholar working on Molecular Biology, Spectroscopy and Analytical Chemistry. According to data from OpenAlex, Lev I. Levitsky has authored 40 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 35 papers in Spectroscopy and 2 papers in Analytical Chemistry. Recurrent topics in Lev I. Levitsky's work include Advanced Proteomics Techniques and Applications (30 papers), Mass Spectrometry Techniques and Applications (25 papers) and Metabolomics and Mass Spectrometry Studies (19 papers). Lev I. Levitsky is often cited by papers focused on Advanced Proteomics Techniques and Applications (30 papers), Mass Spectrometry Techniques and Applications (25 papers) and Metabolomics and Mass Spectrometry Studies (19 papers). Lev I. Levitsky collaborates with scholars based in Russia, United States and Austria. Lev I. Levitsky's co-authors include Mikhail V. Gorshkov, Mark V. Ivanov, Anton Goloborodko, Julia A. Bubis, Anna A. Lobas, Joshua Klein, Irina A. Tarasova, Elizaveta M. Solovyeva, Sergei A. Moshkovskii and Vladimir Gorshkov and has published in prestigious journals such as Analytical Chemistry, International Journal of Molecular Sciences and Analytical and Bioanalytical Chemistry.

In The Last Decade

Lev I. Levitsky

36 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lev I. Levitsky Russia 14 585 512 37 28 27 40 724
Tyler Greer United States 15 450 0.8× 430 0.8× 36 1.0× 24 0.9× 18 0.7× 23 652
Antoine Lesur Luxembourg 13 346 0.6× 297 0.6× 33 0.9× 36 1.3× 33 1.2× 25 564
Andreas Kuehn Germany 5 480 0.8× 461 0.9× 35 0.9× 28 1.0× 29 1.1× 9 701
Irina A. Tarasova Russia 15 393 0.7× 425 0.8× 42 1.1× 12 0.4× 30 1.1× 50 570
O. A. Mirgorodskaya Russia 10 380 0.6× 388 0.8× 27 0.7× 24 0.9× 44 1.6× 30 616
Wen‐Feng Zeng China 14 732 1.3× 513 1.0× 30 0.8× 51 1.8× 49 1.8× 23 879
Andreas Wieghaus Germany 6 470 0.8× 413 0.8× 37 1.0× 35 1.3× 45 1.7× 6 726
Jingjie Mo United States 15 623 1.1× 352 0.7× 57 1.5× 67 2.4× 31 1.1× 22 787
Nertila Siuti United States 7 819 1.4× 729 1.4× 62 1.7× 14 0.5× 48 1.8× 7 1.1k
Chris Hughes United Kingdom 12 375 0.6× 298 0.6× 27 0.7× 24 0.9× 18 0.7× 23 546

Countries citing papers authored by Lev I. Levitsky

Since Specialization
Citations

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

Fields of papers citing papers by Lev I. Levitsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lev I. Levitsky. 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 Lev I. Levitsky. The network helps show where Lev I. Levitsky may publish in the future.

Co-authorship network of co-authors of Lev I. Levitsky

This figure shows the co-authorship network connecting the top 25 collaborators of Lev I. Levitsky. A scholar is included among the top collaborators of Lev I. Levitsky 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 Lev I. Levitsky. Lev I. Levitsky 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
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2.
Lobas, Anna A., Elizaveta M. Solovyeva, Lev I. Levitsky, et al.. (2023). Identification of Alternative Splicing in Proteomes of Human Melanoma Cell Lines without RNA Sequencing Data. International Journal of Molecular Sciences. 24(3). 2466–2466.
3.
Levitsky, Lev I., et al.. (2023). IQMMA: Efficient MS1 Intensity Extraction Pipeline Using Multiple Feature Detection Algorithms for DDA Proteomics. Journal of Proteome Research. 22(9). 2827–2835.
4.
Kuznetsova, Ksenia G., et al.. (2022). Proteomic Analysis of Zebrafish Protein Recoding via mRNA Editing by ADAR Enzymes. Biochemistry (Moscow). 87(11). 1301–1309.
5.
Luo, Xiyang, Wout Bittremieux, Johannes Griss, et al.. (2022). A Comprehensive Evaluation of Consensus Spectrum Generation Methods in Proteomics. Journal of Proteome Research. 21(6). 1566–1574. 5 indexed citations
6.
Levitsky, Lev I., Ksenia G. Kuznetsova, Anna A. Lobas, et al.. (2022). Validating Amino Acid Variants in Proteogenomics Using Sequence Coverage by Multiple Reads. Journal of Proteome Research. 21(6). 1438–1448. 5 indexed citations
7.
Ivanov, Mark V., Julia A. Bubis, Vladimir Gorshkov, et al.. (2022). DirectMS1Quant: Ultrafast Quantitative Proteomics with MS/MS-Free Mass Spectrometry. Analytical Chemistry. 94(38). 13068–13075. 19 indexed citations
8.
Kuznetsova, Ksenia G., Lev I. Levitsky, Mikhail A. Pyatnitskiy, et al.. (2020). Cysteine alkylation methods in shotgun proteomics and their possible effects on methionine residues. Journal of Proteomics. 231. 104022–104022. 17 indexed citations
9.
Levitsky, Lev I., Mikhail A. Pyatnitskiy, Светлана Новикова, et al.. (2020). Proteome-Wide Analysis of ADAR-Mediated Messenger RNA Editing during Fruit Fly Ontogeny. Journal of Proteome Research. 19(10). 4046–4060. 6 indexed citations
10.
11.
Kuznetsova, Ksenia G., Mark V. Ivanov, Mikhail A. Pyatnitskiy, et al.. (2019). Brain Proteome of Drosophila melanogaster Is Enriched with Nuclear Proteins. Biochemistry (Moscow). 84(1). 71–78. 3 indexed citations
12.
Levitsky, Lev I., Ksenia G. Kuznetsova, Dmitry S. Karpov, et al.. (2019). Adenosine‐to‐Inosine RNA Editing in Mouse and Human Brain Proteomes. PROTEOMICS. 19(23). e1900195–e1900195. 15 indexed citations
13.
Solovyeva, Elizaveta M., Anna A. Lobas, Arthur T. Kopylov, et al.. (2018). FractionOptimizer: a method for optimal peptide fractionation in bottom-up proteomics. Analytical and Bioanalytical Chemistry. 410(16). 3827–3833. 10 indexed citations
14.
Levitsky, Lev I., Joshua Klein, Mark V. Ivanov, & Mikhail V. Gorshkov. (2018). Pyteomics 4.0: Five Years of Development of a Python Proteomics Framework. Journal of Proteome Research. 18(2). 709–714. 118 indexed citations
15.
Kreimer, Simion, Mikhail E. Belov, William Danielson, et al.. (2016). Advanced Precursor Ion Selection Algorithms for Increased Depth of Bottom-Up Proteomic Profiling. Journal of Proteome Research. 15(10). 3563–3573. 23 indexed citations
16.
Ivanov, Mark V., Lev I. Levitsky, Anna A. Lobas, & Mikhail V. Gorshkov. (2016). GroupFilter: A software tool for efficient filtering of Morpheus search engine results. Journal of Analytical Chemistry. 71(13). 1275–1279. 1 indexed citations
17.
Ivanov, Mark V., Lev I. Levitsky, Irina A. Tarasova, & Mikhail V. Gorshkov. (2015). Pepxmltk—a format converter for peptide identification results obtained from tandem mass spectrometry data using X!Tandem search engine. Journal of Analytical Chemistry. 70(13). 1598–1599. 8 indexed citations
18.
Ivanov, Mark V., Lev I. Levitsky, Anna A. Lobas, et al.. (2015). Peptide identification in “shotgun” proteomics using tandem mass spectrometry: Comparison of search engine algorithms. Journal of Analytical Chemistry. 70(14). 1614–1619. 2 indexed citations
19.
Ivanov, Mark V., Lev I. Levitsky, Anna A. Lobas, et al.. (2014). Empirical Multidimensional Space for Scoring Peptide Spectrum Matches in Shotgun Proteomics. Journal of Proteome Research. 13(4). 1911–1920. 38 indexed citations
20.
Lobas, Anna A., et al.. (2012). Combination of Edman degradation of peptides with liquid chromatography/mass spectrometry workflow for peptide identification in bottom‐up proteomics. Rapid Communications in Mass Spectrometry. 27(3). 391–400. 14 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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