Natalia Akulenko

422 citations
24 papers · 302 · h-index 12

Impact in

Papers in

    • CRISPR and Genetic Engineering 10
    • RNA and protein synthesis mechanisms 10
    • Genomics and Phylogenetic Studies 3
    • RNA Research and Splicing 3
    • Heat shock proteins research 2
    • Chromosomal and Genetic Variations 10

Natalia Akulenko

23 papers receiving 302 citations

Peers

Natalia Akulenko
Comparison fields: 5 of 32
  • Aging 9
  • Plant Science 163
  • Molecular Biology 232
  • Ecology 82
  • Microbiology 18
Replace Antoine Hocher with:
Antoine Hocher United Kingdom
Jennifer S. Pfingsten United States
С. Б. Акопов Russia
Joseph E. Klebba United States
Bruno Lamontagne Canada
Julius Judd United States
Daniel P. Romero United States
Kyle Tsui Canada
Karen E. Kirk United States
Renato Robledo Italy
Natalia Akulenko relative to Antoine Hocher United Kingdom Antoine Hocher's profile →
Citations per field
00.5×3.6×
Antoine Hocher · 1×
Citations per year

Countries citing papers authored by Natalia Akulenko

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Akulenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Natalia Akulenko, 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 Natalia Akulenko Line = papers co-authored together Natalia Akulenko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 201528
3 201925
4 201224
5 201823
6 201620
7 201720
8 201419
9 201217
10 201615
11 202014
12 201113
13 20208
14 20047
15 20206
16 20166
17 20176
18 20174
19 20113
20 20232

About Natalia Akulenko

Natalia Akulenko is a scholar working on Molecular Biology, Plant Science, Ecology, Genetics and Physiology, having authored 24 papers that have together received 302 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (10 papers), CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (10 papers), Bacteriophages and microbial interactions (7 papers), Bacterial Genetics and Biotechnology (6 papers), Genomics and Phylogenetic Studies (3 papers), RNA Research and Splicing (3 papers) and Heat shock proteins research (2 papers). The work is most often cited by research in Aging (9 citations), Plant Science (163 citations), Molecular Biology (232 citations), Ecology (82 citations) and Microbiology (18 citations). Natalia Akulenko has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include Alla Kalmykova, Sergei Ryazansky, Ivan Olovnikov, Yuri A. Abramov, Ludmila V. Olenina, Konstantin Severinov, Alexei A. Kotov, Olesya Sokolova, Evgeny Klimuk and В. А. Гвоздев. Their work appears in journals such as Journal of Molecular Biology, Nucleic Acids Research, Viruses, Epigenetics & Chromatin and BioEssays.

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.

Explore authors with similar magnitude of impact