I. Yu. Toropygin

678 total citations
59 papers, 488 citations indexed

About

I. Yu. Toropygin is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, I. Yu. Toropygin has authored 59 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 14 papers in Spectroscopy and 11 papers in Organic Chemistry. Recurrent topics in I. Yu. Toropygin's work include Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). I. Yu. Toropygin is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). I. Yu. Toropygin collaborates with scholars based in Russia, United Kingdom and Tajikistan. I. Yu. Toropygin's co-authors include Sergei A. Moshkovskii, A. I. Archakov, Victor G. Zgoda, Yaroslav Mezhuev, Shishkin Ss, O. A. Mirgorodskaya, Natalia Tarasova, Yuri Kozmin, Dmitry S. Karpov and Igor Popov and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

I. Yu. Toropygin

52 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Yu. Toropygin Russia 11 233 76 55 46 46 59 488
Jasvir Kaur India 14 359 1.5× 109 1.4× 12 0.2× 25 0.5× 64 1.4× 21 611
Ayano Fukuhara Japan 10 367 1.6× 27 0.4× 58 1.1× 26 0.6× 11 0.2× 12 540
Mark Tilley United Kingdom 4 260 1.1× 14 0.2× 38 0.7× 39 0.8× 34 0.7× 6 730
Lukas Hofmann Israel 15 241 1.0× 45 0.6× 22 0.4× 10 0.2× 19 0.4× 30 454
Cathrine Nilsson Sweden 7 417 1.8× 59 0.8× 108 2.0× 15 0.3× 14 0.3× 8 763
Stefano Gotta Italy 7 240 1.0× 54 0.7× 43 0.8× 27 0.6× 5 0.1× 9 502
Karen Thomsen Denmark 12 321 1.4× 24 0.3× 129 2.3× 14 0.3× 29 0.6× 15 650
Andreas Jaworski Germany 8 188 0.8× 27 0.4× 10 0.2× 10 0.2× 39 0.8× 9 407

Countries citing papers authored by I. Yu. Toropygin

Since Specialization
Citations

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

Fields of papers citing papers by I. Yu. Toropygin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Yu. Toropygin

This figure shows the co-authorship network connecting the top 25 collaborators of I. Yu. Toropygin. A scholar is included among the top collaborators of I. Yu. Toropygin 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 I. Yu. Toropygin. I. Yu. Toropygin 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.
Toropygin, I. Yu., et al.. (2025). The Enhanced activation of innate immunity in Drosophila S2 cells by Micrococcus luteus VKM Ac-2230 is mediated by Relish. Journal of Invertebrate Pathology. 211. 108315–108315. 2 indexed citations
2.
Zhdanov, Dmitry D., et al.. (2024). Quantitative mass spectrometry with ¹⁸O labelling as an alternative approach for determining protease activity: an example of trypsin. SHILAP Revista de lepidopterología. 24(1). 46–60.
3.
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Toropygin, I. Yu., et al.. (2023). Synthesis of Calix[4]resorcinarene and 1,1′-Dinaphthylmethane Amide Derivatives and Their Ability to Extract Metal Cations. Russian Journal of General Chemistry. 93(3). 554–569.
5.
6.
Toropygin, I. Yu., et al.. (2023). Serum Osmotically Active Proteins in the Atlantic Cod Gadus morhua. Journal of Evolutionary Biochemistry and Physiology. 59(2). 325–336. 2 indexed citations
7.
Sokolova, Elizaveta, et al.. (2022). Recognition of 3′ nucleotide context and stop codon readthrough are determined during mRNA translation elongation. Journal of Biological Chemistry. 298(7). 102133–102133. 18 indexed citations
8.
Toropygin, I. Yu., et al.. (2020). The Role of High-Density Lipoproteinsin Maintaining Osmotic Homeostasis in the Goldfish Carassius auratus L. (Cyprinidae). Journal of Evolutionary Biochemistry and Physiology. 56(2). 102–112. 6 indexed citations
9.
Toropygin, I. Yu., et al.. (2020). Synthesis of Triazole‐Containing rctt Tetra‐ C ‐Naphthyl‐Calix [4]resorcinarene and 1,1‐Dinaphthylmethane Derivatives. ChemistrySelect. 5(39). 12168–12175. 2 indexed citations
10.
Епринцев, А. Т., et al.. (2018). Oligomeric forms of bacterial malate dehydrogenase: a study of the enzyme from the phototrophic non-sulfur bacterium Rhodovulum steppense A-20s. Bioscience Biotechnology and Biochemistry. 82(1). 81–89. 3 indexed citations
11.
Toropygin, I. Yu., et al.. (2016). Effect of Acute Emotional Stress on Proteomic Profile of Selected Brain Areas and Lysosomal Proteolysis in Rats with Different Behavioral Activity. Bulletin of Experimental Biology and Medicine. 161(3). 355–358. 5 indexed citations
12.
Yuzbasheva, Evgeniya Y., et al.. (2015). Cell Surface Display of Yarrowia lipolytica Lipase Lip2p Using the Cell Wall Protein YlPir1p, Its Characterization, and Application as a Whole-Cell Biocatalyst. Applied Biochemistry and Biotechnology. 175(8). 3888–3900. 35 indexed citations
13.
Перцов, С. С., et al.. (2014). Proteomic Study of Rat Hippocampus Under Conditions of Emotional Stress. Bulletin of Experimental Biology and Medicine. 156(5). 595–597. 7 indexed citations
14.
Кулакова, С Н, et al.. (2013). Effect of Coenzyme Q10 on the Proteomic Profile of the Cytosolic and Microsomal Fractions from Rat Hepatocytes upon Dietary Consumption of Various Lipid Components during Ontogeny. Bulletin of Experimental Biology and Medicine. 154(3). 320–325. 3 indexed citations
15.
Toropygin, I. Yu., et al.. (2009). Proteomic analysis of human skeletal muscle (m. vastus lateralis) proteins: Identification of 89 gene expression products. Biochemistry (Moscow). 74(11). 1239–1252. 10 indexed citations
16.
Moshkovskii, Sergei A., et al.. (2009). Cancer-specific MALDI-TOF profiles of blood serum and plasma: Biological meaning and perspectives. Journal of Proteomics. 73(3). 537–551. 48 indexed citations
17.
Воробьева, Л. И., et al.. (2009). The mechanism of action of reactivating factor from Luteococcus japonicus subsp. casei. Applied Biochemistry and Microbiology. 45(5). 489–493. 9 indexed citations
18.
Morozov, S., et al.. (2007). Influence of high level of antibodies to myelin basic protein in female mice on the postnatal development and behavioral reactions of the progeny. Bulletin of Experimental Biology and Medicine. 144(4). 551–554. 2 indexed citations
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20.
Goufman, Eugene, Sergei A. Moshkovskii, Olga V. Tikhonova, et al.. (2006). Two-dimensional electrophoretic proteome study of serum thermostable fraction from patients with various tumor conditions. Biochemistry (Moscow). 71(4). 354–360. 40 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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