Marina V. Donova
- Pharmacology top 0.1%
- Pharmacogenetics and Drug Metabolism 68
- Microbial Natural Products and Biosynthesis 12
- Molecular Biology top 5%
- Steroid Chemistry and Biochemistry 92
- Plant biochemistry and biosynthesis 19
- Biochemical and Molecular Research 6
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- Hormonal Regulation and Hypertension 24
- Microbiology top 10%
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism 68
- Microbial Natural Products and Biosynthesis 12
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- Analytical Chemistry and Chromatography 7
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- Chemical Reactions and Isotopes 6
- Co-authors
- Olga V. EgorovaDmitry V. DovbnyaVera M. NikolayevaВ. В. ФокинаVictoria ShtratnikovaMikhail I. SchelkunovТ. В. ИвашинаИ. Ф. Пунтус
- Journals
- International Journal of Molecular Sciences (3 papers)Applied Microbiology and Biotechnology (8 papers)Biosensors and Bioelectronics (2 papers)
- Partner nations
- RussiaUnited StatesTajikistan
In The Last Decade
Marina V. Donova
101 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 94
- Pharmacology 1.2k
- Molecular Biology 1.7k
- Endocrinology, Diabetes and Metabolism 396
- Microbiology 12
- Pharmacology 137
Countries citing papers authored by Marina V. Donova
This map shows the geographic impact of Marina V. Donova'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 Marina V. Donova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina V. Donova more than expected).
Fields of papers citing papers by Marina V. Donova
This network shows the impact of papers produced by Marina V. Donova. 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 Marina V. Donova. The network helps show where Marina V. Donova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marina V. Donova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 6 | |
| 13 | 2019 | 9 | |
| 14 | 2017 | 47 | |
| 15 | 2017 | 1 | |
| 16 | 2017 | 26 | |
| 17 | 2010 | 17 | |
| 18 | 2004 | 19 | |
| 19 | 2003 | 13 | |
| 20 | 1996 | 34 |
About Marina V. Donova
Marina V. Donova is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 111 papers that have together received 1.9k indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (92 papers), Pharmacogenetics and Drug Metabolism (68 papers), Hormonal Regulation and Hypertension (24 papers), Plant biochemistry and biosynthesis (19 papers), Microbial Natural Products and Biosynthesis (12 papers), Analytical Chemistry and Chromatography (7 papers), Biochemical and Molecular Research (6 papers) and Chemical Reactions and Isotopes (6 papers). The work is most often cited by research in Pharmacology (1.2k citations), Molecular Biology (1.7k citations) and Endocrinology, Diabetes and Metabolism (396 citations). Marina V. Donova has collaborated with scholars based in Russia, United States and Tajikistan. Frequent co-authors include Olga V. Egorova, Dmitry V. Dovbnya, Vera M. Nikolayeva, В. В. Фокина, Victoria Shtratnikova, Mikhail I. Schelkunov, Т. В. Ивашина, И. Ф. Пунтус, Rita Bernhardt and Tomasz Borowski. Their work appears in journals such as International Journal of Molecular Sciences, Applied Microbiology and Biotechnology and Biosensors and Bioelectronics.
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.