Vera P. Pisareva

1.7k total citations
17 papers, 1.3k citations indexed

About

Vera P. Pisareva is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vera P. Pisareva has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vera P. Pisareva's work include RNA and protein synthesis mechanisms (14 papers), RNA modifications and cancer (9 papers) and RNA Research and Splicing (7 papers). Vera P. Pisareva is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), RNA modifications and cancer (9 papers) and RNA Research and Splicing (7 papers). Vera P. Pisareva collaborates with scholars based in United States, Russia and Germany. Vera P. Pisareva's co-authors include Andrey V. Pisarev, Tatyana V. Pestova, Christopher U.T. Hellen, Maxim A. Skabkin, Anton A. Komar, Aurélie M. Rakotondrafara, Matthias W. Hentze, Olga V. Skabkina, Victoria Kolupaeva and William C. Merrick and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Vera P. Pisareva

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vera P. Pisareva United States 15 1.2k 146 107 83 73 17 1.3k
Jan Giesebrecht Germany 10 806 0.7× 131 0.9× 64 0.6× 140 1.7× 57 0.8× 11 882
Kazushige Kuroha Japan 11 998 0.8× 92 0.6× 106 1.0× 78 0.9× 40 0.5× 16 1.0k
Shifeng Xue Singapore 7 1.2k 1.0× 63 0.4× 70 0.7× 113 1.4× 79 1.1× 13 1.3k
Meenakshi K. Doma United States 4 898 0.8× 58 0.4× 41 0.4× 69 0.8× 57 0.8× 6 987
David A. Mangus United States 15 1.8k 1.5× 132 0.9× 40 0.4× 91 1.1× 111 1.5× 20 2.0k
Andrey V. Pisarev United States 18 2.0k 1.7× 341 2.3× 135 1.3× 130 1.6× 123 1.7× 22 2.2k
Kathrin Leppek United States 9 1.2k 1.0× 60 0.4× 70 0.7× 109 1.3× 54 0.7× 11 1.4k
Michael Wormington United States 11 1.3k 1.1× 75 0.5× 53 0.5× 108 1.3× 77 1.1× 11 1.4k
Aline Marnef France 17 980 0.8× 44 0.3× 106 1.0× 140 1.7× 111 1.5× 21 1.1k
Gianluca Petris Italy 17 857 0.7× 57 0.4× 52 0.5× 183 2.2× 52 0.7× 23 1.0k

Countries citing papers authored by Vera P. Pisareva

Since Specialization
Citations

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

Fields of papers citing papers by Vera P. Pisareva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vera P. Pisareva. 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 Vera P. Pisareva. The network helps show where Vera P. Pisareva may publish in the future.

Co-authorship network of co-authors of Vera P. Pisareva

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

All Works

17 of 17 papers shown
1.
Smith, Christopher W., Elizabeth J. Haining, Andrea Bacon, et al.. (2021). Heterozygous mutation SLFN14 K208N in mice mediates species-specific differences in platelet and erythroid lineage commitment. Blood Advances. 5(2). 377–390. 5 indexed citations
2.
3.
Pisareva, Vera P., et al.. (2019). SLFN14 gene mutations associated with bleeding. Platelets. 31(3). 407–410. 8 indexed citations
4.
Fletcher, Sarah J., Vera P. Pisareva, Abdullah O. Khan, et al.. (2018). Role of the novel endoribonuclease SLFN14 and its disease-causing mutations in ribosomal degradation. RNA. 24(7). 939–949. 16 indexed citations
5.
Pisareva, Vera P., Andrey V. Pisarev, & I.S. Fernandez. (2018). Dual tRNA mimicry in the Cricket Paralysis Virus IRES uncovers an unexpected similarity with the Hepatitis C Virus IRES. eLife. 7. 37 indexed citations
6.
Pisareva, Vera P. & Andrey V. Pisarev. (2016). DHX29 and eIF3 cooperate in ribosomal scanning on structured mRNAs during translation initiation. RNA. 22(12). 1859–1870. 18 indexed citations
7.
Pisareva, Vera P. & Andrey V. Pisarev. (2016). DHX29 reduces leaky scanning through an upstream AUG codon regardless of its nucleotide context. Nucleic Acids Research. 44(9). 4252–4265. 17 indexed citations
8.
Pisareva, Vera P., Ilham A. Muslimov, Andrew Tcherepanov, & Andrey V. Pisarev. (2015). Characterization of Novel Ribosome-Associated Endoribonuclease SLFN14 from Rabbit Reticulocytes. Biochemistry. 54(21). 3286–3301. 35 indexed citations
9.
Pisareva, Vera P. & Andrey V. Pisarev. (2014). eIF5 and eIF5B together stimulate 48S initiation complex formation during ribosomal scanning. Nucleic Acids Research. 42(19). 12052–12069. 35 indexed citations
10.
Pisareva, Vera P., Maxim A. Skabkin, Christopher U.T. Hellen, Tatyana V. Pestova, & Andrey V. Pisarev. (2011). Dissociation by Pelota, Hbs1 and ABCE1 of mammalian vacant 80S ribosomes and stalled elongation complexes. The EMBO Journal. 30(9). 1804–1817. 226 indexed citations
11.
Abaeva, Irina S., Assen Marintchev, Vera P. Pisareva, Christopher U.T. Hellen, & Tatyana V. Pestova. (2010). Bypassing of stems versus linear base‐by‐base inspection of mammalian mRNAs during ribosomal scanning. The EMBO Journal. 30(1). 115–129. 61 indexed citations
12.
Pisarev, Andrey V., Maxim A. Skabkin, Vera P. Pisareva, et al.. (2010). The Role of ABCE1 in Eukaryotic Posttermination Ribosomal Recycling. Molecular Cell. 37(2). 196–210. 259 indexed citations
13.
Cheng, Zhihong, Kazuki Saito, Andrey V. Pisarev, et al.. (2009). Structural insights into eRF3 and stop codon recognition by eRF1. Genes & Development. 23(9). 1106–1118. 126 indexed citations
14.
Pisareva, Vera P., Andrey V. Pisarev, Anton A. Komar, Christopher U.T. Hellen, & Tatyana V. Pestova. (2008). Translation Initiation on Mammalian mRNAs with Structured 5′UTRs Requires DExH-Box Protein DHX29. Cell. 135(7). 1237–1250. 180 indexed citations
15.
Pisareva, Vera P., Christopher U.T. Hellen, & Tatyana V. Pestova. (2007). Kinetic Analysis of the Interaction of Guanine Nucleotides with Eukaryotic Translation Initiation Factor eIF5B. Biochemistry. 46(10). 2622–2629. 15 indexed citations
16.
Pisarev, Andrey V., Victoria Kolupaeva, Vera P. Pisareva, et al.. (2006). Specific functional interactions of nucleotides at key -3 and +4 positions flanking the initiation codon with components of the mammalian 48S translation initiation complex. Genes & Development. 20(5). 624–636. 170 indexed citations
17.
Pisareva, Vera P., Andrey V. Pisarev, Christopher U.T. Hellen, Marina V. Rodnina, & Tatyana V. Pestova. (2006). Kinetic Analysis of Interaction of Eukaryotic Release Factor 3 with Guanine Nucleotides. Journal of Biological Chemistry. 281(52). 40224–40235. 67 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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