Ivan N. Shatsky

4.9k total citations · 2 hit papers
52 papers, 4.0k citations indexed

About

Ivan N. Shatsky is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Infectious Diseases. According to data from OpenAlex, Ivan N. Shatsky has authored 52 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 29 papers in Cardiology and Cardiovascular Medicine and 6 papers in Infectious Diseases. Recurrent topics in Ivan N. Shatsky's work include RNA and protein synthesis mechanisms (44 papers), Viral Infections and Immunology Research (29 papers) and RNA Research and Splicing (21 papers). Ivan N. Shatsky is often cited by papers focused on RNA and protein synthesis mechanisms (44 papers), Viral Infections and Immunology Research (29 papers) and RNA Research and Splicing (21 papers). Ivan N. Shatsky collaborates with scholars based in Russia, Tajikistan and United States. Ivan N. Shatsky's co-authors include Tatyana V. Pestova, Sergey E. Dmitriev, Christopher U.T. Hellen, Ilya M. Terenin, Dmitry E. Andreev, Victoria Kolupaeva, Richard J. Jackson, Simon P. Fletcher, Ivan B. Lomakin and Vadim I. Agol and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ivan N. Shatsky

51 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A prokaryotic-like mode of cytoplasmic eukaryotic ribosome binding to the initiation codon during internal translation initation of hepatitis C and classical swine fever virus RNAs

1998 607 citations Tatyana V. Pestova, Ivan N. Shatsky et al. Genes & Development profile →
Molecular mechanisms of translation initiation in eukaryotes

2001 604 citations Tatyana V. Pestova, Victoria Kolupaeva et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ivan N. Shatsky Russia	32	3.3k	1.5k	406	365	327	52	4.0k
Victoria Kolupaeva United States	23	2.7k 0.8×	1.1k 0.8×	198 0.5×	253 0.7×	256 0.8×	33	3.2k
George A. Belov United States	30	1.5k 0.4×	1.4k 0.9×	186 0.5×	588 1.6×	810 2.5×	55	3.0k
Evgeny V. Pilipenko Russia	23	2.8k 0.8×	1.6k 1.1×	80 0.2×	415 1.1×	704 2.2×	30	3.7k
Karen Meerovitch Canada	20	1.7k 0.5×	906 0.6×	114 0.3×	132 0.4×	351 1.1×	26	2.5k
Encarnación Martı́nez-Salas Spain	44	3.2k 1.0×	2.7k 1.8×	271 0.7×	659 1.8×	699 2.1×	119	5.0k
Anne Gatignol Canada	41	3.9k 1.2×	496 0.3×	169 0.4×	271 0.7×	603 1.8×	80	5.1k
Eric Jan Canada	29	2.2k 0.7×	916 0.6×	62 0.2×	556 1.5×	268 0.8×	70	3.1k
Maria L. Zapp United States	27	3.2k 1.0×	234 0.2×	175 0.4×	643 1.8×	490 1.5×	34	4.0k
Jeroen R. P. M. Strating Netherlands	23	952 0.3×	765 0.5×	75 0.2×	190 0.5×	506 1.5×	38	1.8k
Denise Egger Switzerland	33	1.7k 0.5×	2.1k 1.4×	1.2k 2.9×	730 2.0×	1.5k 4.5×	57	4.6k

Countries citing papers authored by Ivan N. Shatsky

Since Specialization

Citations

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

Fields of papers citing papers by Ivan N. Shatsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan N. Shatsky. 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 Ivan N. Shatsky. The network helps show where Ivan N. Shatsky may publish in the future.

Co-authorship network of co-authors of Ivan N. Shatsky

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan N. Shatsky. A scholar is included among the top collaborators of Ivan N. Shatsky 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 Ivan N. Shatsky. Ivan N. Shatsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Anisimova, Aleksandra S., Artyom A. Egorov, Maria D. Logacheva, et al.. (2019). Translatome and transcriptome analysis of TMA20 (MCT-1) and TMA64 (eIF2D) knockout yeast strains. SHILAP Revista de lepidopterología. 23. 103701–103701. 13 indexed citations

Sinitcyn, Pavel, Dmitry E. Andreev, Ilya M. Terenin, et al.. (2018). A novel uORF-based regulatory mechanism controls translation of the human MDM2 and eIF2D mRNAs during stress. Biochimie. 157. 92–101. 14 indexed citations

Sinitcyn, Pavel, Ivan B. Lomakin, Dmitry E. Andreev, et al.. (2017). Peptidyl transferase inhibitors arrest the ribosome at specific amino acid codons: insights from an integrated approach. FEBS Journal. 284. 102–403. 2 indexed citations

Terenin, Ilya M., et al.. (2016). A researcher’s guide to the galaxy of IRESs. Cellular and Molecular Life Sciences. 74(8). 1431–1455. 52 indexed citations

Terenin, Ilya M., et al.. (2015). Sliding of a 43S ribosomal complex from the recognized AUG codon triggered by a delay in eIF2-bound GTP hydrolysis. Nucleic Acids Research. 44(4). 1882–1893. 31 indexed citations

Andreev, Dmitry E., Patrick B. F. O’Connor, Ciara Fahey, et al.. (2015). Translation of 5′ leaders is pervasive in genes resistant to eIF2 repression. eLife. 4. e03971–e03971. 265 indexed citations

Andreev, Dmitry E., Sergey E. Dmitriev, Ilya M. Terenin, & Ivan N. Shatsky. (2013). Cap-independent translation initiation of Apaf-1 mRNA based on a scanning mechanism is determined by some features of the secondary structure of its 5′ untranslated region. Biochemistry (Moscow). 78(2). 157–165. 15 indexed citations

Andreev, Dmitry E., et al.. (2012). Glycyl-tRNA synthetase specifically binds to the poliovirus IRES to activate translation initiation. Nucleic Acids Research. 40(12). 5602–5614. 48 indexed citations

Andreev, Dmitry E., Sergey E. Dmitriev, Roman A. Zinovkin, Ilya M. Terenin, & Ivan N. Shatsky. (2012). The 5′ untranslated region of Apaf‐1 mRNA directs translation under apoptosis conditions via a 5′ end‐dependent scanning mechanism. FEBS Letters. 586(23). 4139–4143. 27 indexed citations

10.

Dmitriev, Sergey E., Elena Stolboushkina, Ilya M. Terenin, et al.. (2011). Archaeal Translation Initiation Factor aIF2 Can Substitute for Eukaryotic eIF2 in Ribosomal Scanning during Mammalian 48S Complex Formation. Journal of Molecular Biology. 413(1). 106–114. 10 indexed citations

11.

Dmitriev, Sergey E., Ilya M. Terenin, Dmitry E. Andreev, et al.. (2010). GTP-independent tRNA Delivery to the Ribosomal P-site by a Novel Eukaryotic Translation Factor. Journal of Biological Chemistry. 285(35). 26779–26787. 128 indexed citations

12.

Terenin, Ilya M., et al.. (2010). Influence of the hepatitis C virus 3′‐untranslated region on IRES‐dependent and cap‐dependent translation initiation. FEBS Letters. 584(4). 837–842. 41 indexed citations

13.

Graifer, D. M., et al.. (2008). Positioning of subdomain IIId and apical loop of domain II of the hepatitis C IRES on the human 40S ribosome. Nucleic Acids Research. 37(4). 1141–1151. 51 indexed citations

14.

Andreev, Dmitry E., Vasili Hauryliuk, Ilya M. Terenin, et al.. (2007). The bacterial toxin RelE induces specific mRNA cleavage in the A site of the eukaryote ribosome. RNA. 14(2). 233–239. 38 indexed citations

15.

Andreev, Dmitry E., Ilya M. Terenin, Sergey E. Dmitriev, & Ivan N. Shatsky. (2006). Similar features in the mechanisms of mRNA translation initiation in eukaryotic and prokaryotic systems. Molecular Biology. 40(4). 620–627. 24 indexed citations

16.

Zolotukhin, Andrei S., Daniel Michałowski, Jenifer Bear, et al.. (2003). PSF Acts through the Human Immunodeficiency Virus Type 1 mRNA Instability Elements To Regulate Virus Expression. Molecular and Cellular Biology. 23(18). 6618–6630. 113 indexed citations

17.

Pisarev, Andrey V., et al.. (2002). Positive and Negative Effects of the Major Mammalian Messenger Ribonucleoprotein p50 on Binding of 40 S Ribosomal Subunits to the Initiation Codon of β-Globin mRNA. Journal of Biological Chemistry. 277(18). 15445–15451. 47 indexed citations

18.

Kolupaeva, Victoria, Tatyana V. Pestova, Christopher U.T. Hellen, & Ivan N. Shatsky. (1998). Translation Eukaryotic Initiation Factor 4G Recognizes a Specific Structural Element within the Internal Ribosome Entry Site of Encephalomyocarditis Virus RNA. Journal of Biological Chemistry. 273(29). 18599–18604. 159 indexed citations

19.

Pestova, Tatyana V., Ivan N. Shatsky, Simon P. Fletcher, Richard J. Jackson, & Christopher U.T. Hellen. (1998). A prokaryotic-like mode of cytoplasmic eukaryotic ribosome binding to the initiation codon during internal translation initation of hepatitis C and classical swine fever virus RNAs. Genes & Development. 12(1). 67–83. 607 indexed citations breakdown →

20.

Skripkin, Eugene, et al.. (1990). Transition of the mRNA sequence downstream from the initiation codon into a single-stranded conformation is strongly promoted by binding of the initiator tRNA. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1050(1-3). 119–123. 13 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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