Sergey V. Mashko

895 citations
45 papers · 731 · h-index 15

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 19
    • RNA and protein synthesis mechanisms 11
    • CRISPR and Genetic Engineering 6
    • Metabolomics and Mass Spectrometry Studies 4
    • Fungal and yeast genetics research 3
    • Bacterial Genetics and Biotechnology 21

Sergey V. Mashko

43 papers receiving 724 citations

Peers

Sergey V. Mashko
Comparison fields: 5 of 70
  • Biochemistry 82
  • Genetics 243
  • Molecular Biology 592
  • Endocrinology 18
  • Biotechnology 29
Replace Natalia P. Zakataeva with:
Natalia P. Zakataeva Russia
Cornelia Gätgens Germany
Meike Baumgart Germany
В. А. Лившиц Russia
Andrea T. Hüser Germany
Rechien Bader Netherlands
Ruud H. Geerse Netherlands
Oliver Kirchner Germany
Leticia Olvera Mexico
Ingo G. Janausch Germany
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Citations per field
00.5×2.8×
Natalia P. Zakataeva · 1×
Citations per year

Countries citing papers authored by Sergey V. Mashko

Since Specialization
Citations

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

Fields of papers citing papers by Sergey V. Mashko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey V. Mashko. 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 Sergey V. Mashko. The network helps show where Sergey V. Mashko may publish in the future.

Co-authors

The 24 scholars most cited alongside Sergey V. Mashko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sergey V. Mashko Line = papers co-authored together Sergey V. Mashko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200791
2 200965
3 200560
4 200851
5 201149
6 200940
7 201436
8 201128
9 201126
10 200525
11 199019
12 201219
13 201818
14 201018
15 201117
16 201614
17 201012
18 200711
19 201710
20 201410

About Sergey V. Mashko

Sergey V. Mashko is a scholar working on Molecular Biology, Genetics, Ecology, Biomedical Engineering and Clinical Biochemistry, having authored 45 papers that have together received 731 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (21 papers), Microbial Metabolic Engineering and Bioproduction (19 papers), RNA and protein synthesis mechanisms (11 papers), Bacteriophages and microbial interactions (6 papers), CRISPR and Genetic Engineering (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Biofuel production and bioconversion (4 papers) and Fungal and yeast genetics research (3 papers). The work is most often cited by research in Biochemistry (82 citations), Genetics (243 citations), Molecular Biology (592 citations), Endocrinology (18 citations) and Biotechnology (29 citations). Sergey V. Mashko has collaborated with scholars based in Russia, United States and Japan. Frequent co-authors include I. V. Biryukova, Danila Zimenkov, В. А. Лившиц, A. Yu. Gulevich, Maria V. Vitushkina, A. Yu. Skorokhodova, Vsevolod J. Makeev, Naoki Kadotani, Dmitry B. Malko and Marina I. Lebedeva. Their work appears in journals such as Applied Microbiology and Biotechnology, Microbial Cell Factories, Gene, Journal of Microbiological Methods and Archives of Virology.

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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