Iana Fedorova

2.0k total citations · 2 hit papers
11 papers, 1.4k citations indexed

About

Iana Fedorova is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Iana Fedorova has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Immunology. Recurrent topics in Iana Fedorova's work include CRISPR and Genetic Engineering (9 papers), RNA and protein synthesis mechanisms (5 papers) and Bacterial Genetics and Biotechnology (4 papers). Iana Fedorova is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), RNA and protein synthesis mechanisms (5 papers) and Bacterial Genetics and Biotechnology (4 papers). Iana Fedorova collaborates with scholars based in Russia, United States and Germany. Iana Fedorova's co-authors include Feng Zhang, Bernd Zetsche, Konstantin Severinov, Matthias Heidenreich, Jeroen Kneppers, Omar O. Abudayyeh, Ellen M. DeGennaro, Sourav Choudhury, Wen Y. Wu and David Scott and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Iana Fedorova

10 papers receiving 1.4k citations

Hit Papers

Multiplex gene editing by... 2016 2026 2019 2022 2016 2016 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Iana Fedorova 1.4k 206 194 170 150 11 1.4k
Tautvydas Karvelis 1.3k 1.0× 248 1.2× 169 0.9× 177 1.0× 147 1.0× 15 1.4k
Aaron A. Smargon 1.2k 0.9× 182 0.9× 151 0.8× 176 1.0× 168 1.1× 8 1.3k
Hisato Hirano 1.2k 0.9× 179 0.9× 136 0.7× 183 1.1× 114 0.8× 14 1.3k
Jiuyu Wang 1.6k 1.2× 242 1.2× 170 0.9× 160 0.9× 196 1.3× 20 1.7k
Jonathan Strecker 1.4k 1.1× 292 1.4× 211 1.1× 119 0.7× 77 0.5× 18 1.6k
Ole Niewoehner 1.5k 1.1× 305 1.5× 125 0.6× 179 1.1× 155 1.0× 7 1.6k
Patrick Pausch 1.3k 0.9× 256 1.2× 206 1.1× 127 0.7× 136 0.9× 21 1.4k
Arūnas Šilanskas 887 0.7× 175 0.8× 131 0.7× 96 0.6× 100 0.7× 24 982
David R. Cheng 882 0.7× 177 0.9× 104 0.5× 118 0.7× 94 0.6× 6 1.0k
Satomi Banno 1.1k 0.8× 331 1.6× 188 1.0× 92 0.5× 97 0.6× 8 1.2k

Countries citing papers authored by Iana Fedorova

Since Specialization
Citations

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

Fields of papers citing papers by Iana Fedorova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iana Fedorova

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

All Works

11 of 11 papers shown
1.
Xiao, Yu, Iana Fedorova, Xi Liu, et al.. (2024). Single phage proteins sequester signals from TIR and cGAS-like enzymes. Nature. 635(8039). 719–727. 11 indexed citations
2.
Arseniev, Alexander S., Olga Musharova, I. Mizgirev, et al.. (2023). Characterization of CoCas9 nuclease from Capnocytophaga ochracea. RNA Biology. 20(1). 750–759.
3.
Cao, Xueli, Yu Xiao, Erin Huiting, et al.. (2023). Phage anti-CBASS protein simultaneously sequesters cyclic trinucleotides and dinucleotides. Molecular Cell. 84(2). 375–385.e7. 22 indexed citations
4.
Fedorova, Iana, et al.. (2021). Type III CRISPR-Cas Systems: Deciphering the Most Complex Prokaryotic Immune System. Biochemistry (Moscow). 86(10). 1301–1314. 36 indexed citations
5.
Fedorova, Iana, Georgii Pobegalov, Olga Musharova, et al.. (2020). PpCas9 from Pasteurella pneumotropica — a compact Type II-C Cas9 ortholog active in human cells. Nucleic Acids Research. 48(21). 12297–12309. 16 indexed citations
6.
Pobegalov, Georgii, et al.. (2020). Position of Deltaproteobacteria Cas12e nuclease cleavage sites depends on spacer length of guide RNA. RNA Biology. 17(10). 1472–1479. 13 indexed citations
7.
Savitskaya, Ekaterina, Kirill A. Datsenko, Irina O. Vvedenskaya, et al.. (2019). Detection of spacer precursors formed in vivo during primed CRISPR adaptation. Nature Communications. 10(1). 4603–4603. 18 indexed citations
8.
Fedorova, Iana, Georgii Pobegalov, Olga Musharova, et al.. (2019). DNA targeting by Clostridium cellulolyticum CRISPR–Cas9 Type II-C system. Nucleic Acids Research. 48(4). 2026–2034. 18 indexed citations
9.
Zetsche, Bernd, Matthias Heidenreich, Prarthana Mohanraju, et al.. (2016). Multiplex gene editing by CRISPR–Cpf1 using a single crRNA array. Nature Biotechnology. 35(1). 31–34. 699 indexed citations breakdown →
10.
Yamano, Takashi, Hiroshi Nishimasu, Bernd Zetsche, et al.. (2016). Crystal Structure of Cpf1 in Complex with Guide RNA and Target DNA. Cell. 165(4). 949–962. 552 indexed citations breakdown →
11.
Morozova, Natalia, Anton Sabantsev, Ekaterina Bogdanova, et al.. (2015). Temporal dynamics of methyltransferase and restriction endonuclease accumulation in individual cells after introducing a restriction-modification system. Nucleic Acids Research. 44(2). 790–800. 30 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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