Igor Fesenko

865 total citations
42 papers, 582 citations indexed

About

Igor Fesenko is a scholar working on Molecular Biology, Plant Science and Microbiology. According to data from OpenAlex, Igor Fesenko has authored 42 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 25 papers in Plant Science and 5 papers in Microbiology. Recurrent topics in Igor Fesenko's work include Plant-Microbe Interactions and Immunity (8 papers), Plant Reproductive Biology (8 papers) and Plant Disease Resistance and Genetics (6 papers). Igor Fesenko is often cited by papers focused on Plant-Microbe Interactions and Immunity (8 papers), Plant Reproductive Biology (8 papers) and Plant Disease Resistance and Genetics (6 papers). Igor Fesenko collaborates with scholars based in Russia, United Kingdom and United States. Igor Fesenko's co-authors include Anna Mamaeva, Michael Taliansky, Ilya Kirov, Andrew J. Love, Vadim T. Ivanov, Natalia O. Kalinina, Anna Filippova, Gennady I. Karlov, Vadim M. Govorun and Ludmila Khrustaleva and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Molecular Cell.

In The Last Decade

Igor Fesenko

41 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Fesenko Russia 14 346 329 61 52 46 42 582
Paul M. Chilley United Kingdom 6 255 0.7× 332 1.0× 20 0.3× 12 0.2× 44 1.0× 7 482
W.F. Brandt South Africa 14 98 0.3× 431 1.3× 25 0.4× 25 0.5× 15 0.3× 23 622
Linyong Mao United States 13 657 1.9× 531 1.6× 8 0.1× 20 0.4× 16 0.3× 18 946
Thomas Schiex France 11 287 0.8× 273 0.8× 9 0.1× 24 0.5× 11 0.2× 14 535
Fang-Sik Che Japan 9 654 1.9× 530 1.6× 26 0.4× 237 4.6× 11 0.2× 10 815
Jingni Wu South Korea 18 1.1k 3.2× 480 1.5× 12 0.2× 19 0.4× 18 0.4× 32 1.3k
Maureen Stolzer United States 7 174 0.5× 353 1.1× 16 0.3× 52 1.0× 5 0.1× 12 490
Anne‐Marie Duchêne France 22 328 0.9× 1.3k 4.0× 6 0.1× 23 0.4× 15 0.3× 40 1.5k
Kevin A. Lease United States 10 1.7k 5.0× 1.2k 3.7× 30 0.5× 47 0.9× 6 0.1× 13 1.9k

Countries citing papers authored by Igor Fesenko

Since Specialization
Citations

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

Fields of papers citing papers by Igor Fesenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Fesenko

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Fesenko. A scholar is included among the top collaborators of Igor Fesenko 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 Igor Fesenko. Igor Fesenko 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.
Mamaeva, Anna, et al.. (2025). The Proteomic and Peptidomic Response of Wheat (Triticum aestivum L.) to Drought Stress. Plants. 14(14). 2168–2168. 2 indexed citations
2.
Fesenko, Igor, Svetlana A. Shabalina, Gisela Storz, & Eugene V. Koonin. (2025). De novo origin of numerous microproteins in enterobacteria. Nucleic Acids Research. 53(22).
3.
Рогожин, Е. А., et al.. (2025). Comparative analysis of small secreted peptide signaling during defense response: insights from vascular and non‐vascular plants. Physiologia Plantarum. 177(2). e70147–e70147. 1 indexed citations
4.
Fesenko, Igor, et al.. (2025). The hidden bacterial microproteome. Molecular Cell. 85(5). 1024–1041.e6. 10 indexed citations
5.
Fesenko, Igor, et al.. (2024). Intracellular and Extracellular Peptidomes of the Model Plant, Physcomitrium patens. Methods in molecular biology. 2758. 375–385. 1 indexed citations
6.
Mamaeva, Anna, Е. М. Чудинова, S. N. Elansky, et al.. (2023). RALF peptides modulate immune response in the moss Physcomitrium patens. Frontiers in Plant Science. 14. 1077301–1077301. 11 indexed citations
7.
Fesenko, Igor, Svetlana A. Shabalina, Anna Mamaeva, et al.. (2021). A vast pool of lineage-specific microproteins encoded by long non-coding RNAs in plants. Nucleic Acids Research. 49(18). 10328–10346. 41 indexed citations
8.
Mamaeva, Anna, et al.. (2021). Quantitative proteomic dataset of the moss Physcomitrium patens PSEP3 KO and OE mutant lines. SHILAP Revista de lepidopterología. 40. 107715–107715. 4 indexed citations
9.
Kartashov, Alexander V., Ilya E. Zlobin, Pavel Pashkovskiy, et al.. (2021). Quantitative analysis of differential dehydrin regulation in pine and spruce seedlings under water deficit. Plant Physiology and Biochemistry. 162. 237–246. 3 indexed citations
10.
Filippova, Anna, Sergey I. Kovalchuk, Rustam Ziganshin, et al.. (2021). Possible role of small secreted peptides (SSPs) in immune signaling in bryophytes. Plant Molecular Biology. 106(1-2). 123–143. 11 indexed citations
11.
Fesenko, Igor, et al.. (2020). Direct RNA sequencing dataset of SMG1 KO mutant Physcomitrella (Physcomitrium patens). SHILAP Revista de lepidopterología. 33. 106602–106602. 7 indexed citations
12.
Fesenko, Igor, Ilya Kirov, Anna Filippova, et al.. (2019). Phytohormone treatment induces generation of cryptic peptides with antimicrobial activity in the Moss Physcomitrella patens. BMC Plant Biology. 19(1). 9–9. 33 indexed citations
13.
Fesenko, Igor, et al.. (2018). Analysis of Endogenous Peptide Pools of Physcomitrella patens Moss. Methods in molecular biology. 1719. 395–405. 4 indexed citations
14.
Fesenko, Igor, Ilya Kirov, Georgij Arapidi, et al.. (2017). Alternative splicing shapes transcriptome but not proteome diversity in Physcomitrella patens. Scientific Reports. 7(1). 2698–2698. 13 indexed citations
15.
Kirov, Ilya, Ludmila Khrustaleva, Katrijn Van Laere, et al.. (2017). DRAWID: user-friendly java software for chromosome measurements and idiogram drawing. Comparative Cytogenetics. 11(4). 747–757. 53 indexed citations
16.
Виноградова, С. В., et al.. (2017). Antimicrobial activity of endogenous peptides of the moss Physcomitrella patens. Russian Journal of Bioorganic Chemistry. 43(3). 248–254. 9 indexed citations
17.
Fesenko, Igor, Georgij Arapidi, Dmitry Alexeev, et al.. (2015). Specific pools of endogenous peptides are present in gametophore, protonema, and protoplast cells of the moss Physcomitrella patens. BMC Plant Biology. 15(1). 87–87. 36 indexed citations
18.
Kroupin, Pavel Yu., М.Г. Дивашук, Igor Fesenko, & Gennady I. Karlov. (2012). Evaluating Wheat Microsatellite Markers for the Use in Genetic Analysis ofThinopyrum, Dasypyrum,andPseudoroegneriaSpecies. 2013. 1–3. 1 indexed citations
19.
Дивашук, М.Г., et al.. (2011). ABOUT POSSIBLE USE OF Agropyron Vp-1 (Viviparous-1) GENS- HOMOLOG FOR IMPROVEMENT OF SOFT WHEAT. 1 indexed citations
20.
Karlov, Gennady I., et al.. (2010). Chromosome organization of Ty1-copia-like retrotransposons in the tomato genome. Russian Journal of Genetics. 46(6). 677–681. 2 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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