A. N. Fedorov

3.3k total citations
93 papers, 2.4k citations indexed

About

A. N. Fedorov is a scholar working on Molecular Biology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, A. N. Fedorov has authored 93 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 14 papers in Materials Chemistry and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in A. N. Fedorov's work include RNA and protein synthesis mechanisms (36 papers), RNA Research and Splicing (24 papers) and RNA modifications and cancer (15 papers). A. N. Fedorov is often cited by papers focused on RNA and protein synthesis mechanisms (36 papers), RNA Research and Splicing (24 papers) and RNA modifications and cancer (15 papers). A. N. Fedorov collaborates with scholars based in Russia, United States and Tajikistan. A. N. Fedorov's co-authors include Thomas Baldwin, Larisa Fedorova, Walter Gilbert, Hyman Hartman, Scott William Roy, Amir Feisal Merican, Samuel S. Shepard, M. S. Yurkova, Ashwin Prakash and A. John McSweeny 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

A. N. Fedorov

90 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. N. Fedorov Russia	24	1.9k	330	322	191	186	93	2.4k
Stephen M. J. Searle United Kingdom	11	1.5k 0.8×	391 1.2×	371 1.2×	99 0.5×	160 0.9×	12	2.1k
Judith M. Short United States	20	1.9k 1.0×	247 0.7×	530 1.6×	192 1.0×	160 0.9×	26	2.7k
Sergey Korolev United States	26	2.5k 1.3×	205 0.6×	767 2.4×	269 1.4×	169 0.9×	58	3.0k
Prasanna R. Kolatkar Singapore	32	1.8k 1.0×	165 0.5×	370 1.1×	209 1.1×	111 0.6×	94	2.9k
Guy Yachdav United States	8	1.7k 0.9×	299 0.9×	401 1.2×	253 1.3×	163 0.9×	24	2.4k
Daiqing Liao United States	27	1.7k 0.9×	217 0.7×	388 1.2×	109 0.6×	120 0.6×	54	2.3k
Keqiong Ye China	30	2.9k 1.5×	642 1.9×	172 0.5×	153 0.8×	120 0.6×	71	3.7k
Kristian Vlahoviček Croatia	25	2.5k 1.3×	357 1.1×	450 1.4×	89 0.5×	146 0.8×	62	3.0k
Benjamin Lang United States	13	2.3k 1.2×	241 0.7×	311 1.0×	375 2.0×	166 0.9×	24	2.8k
Dixie J. Goss United States	33	2.6k 1.4×	631 1.9×	223 0.7×	145 0.8×	138 0.7×	102	3.4k

Countries citing papers authored by A. N. Fedorov

Since Specialization

Citations

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

Fields of papers citing papers by A. N. Fedorov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. N. Fedorov

This figure shows the co-authorship network connecting the top 25 collaborators of A. N. Fedorov. A scholar is included among the top collaborators of A. N. Fedorov 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 A. N. Fedorov. A. N. Fedorov 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

Fedorov, A. N., et al.. (2024). The effect of various domestically produced proteolytic enzyme preparations on the organoleptic properties of pea protein isolates. Прикладная биохимия и микробиология. 60(4). 348–355.

Fedorov, A. N., et al.. (2023). Classification of Promoter Sequences from Human Genome. International Journal of Molecular Sciences. 24(16). 12561–12561. 4 indexed citations

Fedorov, A. N., et al.. (2023). Novel His-tag Variants for Insertion Inside Polypeptide Chain. ACS Omega. 9(1). 858–865. 1 indexed citations

Yurkova, M. S., et al.. (2023). Thermostable chaperone-based polypeptide biosynthesis: Enfuvirtide model product quality and protocol-related impurities. PLoS ONE. 18(6). e0286752–e0286752. 1 indexed citations

Yurkova, M. S., et al.. (2022). Enfuvirtide biosynthesis in thermostable chaperone-based fusion. Biotechnology Reports. 35. e00734–e00734. 3 indexed citations

Fedorov, A. N.. (2022). Biosynthetic Protein Folding and Molecular Chaperons. Biochemistry (Moscow). 87(S1). S128–S145. 2 indexed citations

Yurkova, M. S., et al.. (2018). Physicochemical Characteristics of Modification of Chaperon GroEL Apical Domain Designed to Enhance Expression and Stability of Target Proteins. Biotekhnologiya. 34(6). 43–50. 2 indexed citations

Трифонова, Е.А., Nikolai A. Nikitin, M. S. Yurkova, et al.. (2017). Study of rubella candidate vaccine based on a structurally modified plant virus. Antiviral Research. 144. 27–33. 26 indexed citations

Prakash, Ashwin, et al.. (2010). Critical association of ncRNA with introns. Nucleic Acids Research. 39(6). 2357–2366. 141 indexed citations

10.

Shepard, Samuel S., et al.. (2009). The Peculiarities of Large Intron Splicing in Animals. PLoS ONE. 4(11). e7853–e7853. 50 indexed citations

11.

Rajesh, Preeti, Ying Deng, Pankaj Kumar Mishra, et al.. (2008). Calculation of Splicing Potential from the Alternative Splicing Mutation Database. BMC Research Notes. 1(1). 4–4. 10 indexed citations

12.

Rajesh, Preeti, Ying Deng, Pankaj Kumar Mishra, et al.. (2008). The Alternative Splicing Mutation Database: a hub for investigations of alternative splicing using mutational evidence. BMC Research Notes. 1(1). 3–3. 16 indexed citations

13.

Bazeley, Peter, В. А. Шепелев, Zohreh Talebizadeh, et al.. (2007). snoTARGET shows that human orphan snoRNA targets locate close to alternative splice junctions. Gene. 408(1-2). 172–179. 76 indexed citations

14.

Roy, Scott William, A. N. Fedorov, & Walter Gilbert. (2003). Large-scale comparison of intron positions in mammalian genes shows intron loss but no gain. Proceedings of the National Academy of Sciences. 100(12). 7158–7162. 166 indexed citations

15.

Fedorov, A. N., Scott William Roy, Xiaohong Cao, & Walter Gilbert. (2003). Phylogenetically Older Introns Strongly Correlate With Module Boundaries in Ancient Proteins. Genome Research. 13(6a). 1155–1157. 23 indexed citations

16.

Fedorov, A. N., Scott William Roy, Larisa Fedorova, & Walter Gilbert. (2003). Mystery of Intron Gain. Genome Research. 13(10). 2236–2241. 61 indexed citations

17.

Fedorov, A. N. & Thomas Baldwin. (1998). [1] Protein folding and assembly in a cell-free expression system. Methods in enzymology on CD-ROM/Methods in enzymology. 290. 1–17. 26 indexed citations

18.

Korneev, Sergei A., et al.. (1997). A subtractive cDNA library from an identified regenerating neuron is enriched in sequences up-regulated during nerve regeneration. Invertebrate Neuroscience. 3(2-3). 185–192. 26 indexed citations

19.

Tokatlidis, Kostas, Bertrand Friguet, Dominique Deville‐Bonne, et al.. (1995). Nascent chains: folding and chaperone interaction during elongation on ribosomes. Philosophical Transactions of the Royal Society B Biological Sciences. 348(1323). 89–95. 16 indexed citations

20.

Fedorov, A. N., Д. А. Долгих, Violetta V. Chemeris, et al.. (1992). De novo design, synthesis and study of albebetin, a polypeptide with a predetermined three-dimensional structure. Journal of Molecular Biology. 225(4). 927–931. 52 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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