О.Г. Леонова

606 citations
53 papers · 431 · h-index 12

Impact in

Papers in

    • Protist diversity and phylogeny 10
    • RNA and protein synthesis mechanisms 3
    • Genomics and Chromatin Dynamics 3
    • Chromosomal and Genetic Variations 8

О.Г. Леонова

45 papers receiving 422 citations

Peers

О.Г. Леонова
Comparison fields: 5 of 100
  • Molecular Biology 209
  • Biotechnology 25
  • Immunology 48
  • Infectious Diseases 38
  • Plant Science 75
Replace Chun-Feng David Hou with:
Chun-Feng David Hou United States
Sean F. Gilmore United States
Isabelle Dufau France
Yiting Lim United States
Qiming Chen China
Jeffrey G. Marblestone
Guangchao Liu China
C. Kempf Switzerland
Daniel J. Coleman United States
Genoveva Nacheva Bulgaria
О.Г. Леонова relative to Chun-Feng David Hou United States Chun-Feng David Hou's profile →
Citations per field
00.5×3.6×
Chun-Feng David Hou · 1×
Citations per year

Countries citing papers authored by О.Г. Леонова

Since Specialization
Citations

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

Fields of papers citing papers by О.Г. Леонова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by О.Г. Леонова. 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 О.Г. Леонова. The network helps show where О.Г. Леонова may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200868
2 201740
3 201533
4 201231
5 202131
6 202027
7 201925
8 201823
9 201218
10 202114
11 202212
12 202112
13 202010
14 20168
15 20116
16 20215
17 20195
18 20134
19 20144
20 20164

About О.Г. Леонова

О.Г. Леонова is a scholar working on Molecular Biology, Plant Science, Political Science and International Relations, Genetics and Ecology, having authored 53 papers that have together received 431 indexed citations. Recurring topics across this work include Protist diversity and phylogeny (10 papers), Chromosomal and Genetic Variations (8 papers), Global Political and Economic Relations (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), International Relations and Foreign Policy (3 papers), RNA and protein synthesis mechanisms (3 papers), Microbial Community Ecology and Physiology (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Molecular Biology (209 citations), Biotechnology (25 citations), Immunology (48 citations), Infectious Diseases (38 citations) and Plant Science (75 citations). О.Г. Леонова has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include В. И. Попенко, Sergey M. Deyev, Evelina Edelweiss, Taras Balandin, Alexander M. Sapozhnikov, Pavel Spirin, Vladimir Prassolov, Sergey N. Kochetkov, Timofey Lebedev and Thomas Schmülling. Their work appears in journals such as Biochimie, Cells, BioMed Research International, Functional Plant Biology and PLoS ONE.

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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