Maksym Danchenko
Impact in
- Plant Science top 10%
- Plant Genetic and Mutation Studies
- Soybean genetics and cultivation
- Plant Stress Responses and Tolerance
- Plant-Microbe Interactions and Immunity
- Seed Germination and Physiology
Papers in
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- Plant Genetic and Mutation Studies 13
- Seed Germination and Physiology 5
- Plant Stress Responses and Tolerance 5
- Soybean genetics and cultivation 4
- Wheat and Barley Genetics and Pathology 3
- Plant Virus Research Studies 3
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- Plant tissue culture and regeneration 5
- Co-authors
- Ľudovít Škultéty (22 shared papers)Marián Hajdúch (10 shared papers)Katarína Klubicová (12 shared papers)Terézia Salaj (3 shared papers)Anna Preťová (2 shared papers)Ľubica Uváčková (5 shared papers)Ján A. Miernyk (4 shared papers)Ľubomír Mátel (1 shared paper)
In The Last Decade
Maksym Danchenko
38 papers receiving 379 citations
Peers
Comparison fields: 5 of 73
- Plant Science 229
- Horticulture 4
- Parasitology 21
- Molecular Biology 138
- Biotechnology 17
Countries citing papers authored by Maksym Danchenko
This map shows the geographic impact of Maksym Danchenko'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 Maksym Danchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maksym Danchenko more than expected).
Fields of papers citing papers by Maksym Danchenko
This network shows the impact of papers produced by Maksym Danchenko. 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 Maksym Danchenko. The network helps show where Maksym Danchenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Maksym Danchenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 46 | |
| 2 | 2010 | 30 | |
| 3 | 2012 | 29 | |
| 4 | 2017 | 25 | |
| 5 | 2021 | 21 | |
| 6 | 2016 | 17 | |
| 7 | 2013 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2011 | 14 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 14 | |
| 12 | 2010 | 13 | |
| 13 | 2015 | 13 | |
| 14 | 2023 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2015 | 7 | |
| 20 | 2019 | 6 |
About Maksym Danchenko
Maksym Danchenko is a scholar working on Plant Science, Molecular Biology, Pathology and Forensic Medicine, Parasitology and Biotechnology, having authored 42 papers that have together received 384 indexed citations. Recurring topics across this work include Plant Genetic and Mutation Studies (13 papers), Seed Germination and Physiology (5 papers), Plant Stress Responses and Tolerance (5 papers), Plant tissue culture and regeneration (5 papers), Soybean genetics and cultivation (4 papers), Vector-borne infectious diseases (4 papers), Wheat and Barley Genetics and Pathology (3 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Plant Science (229 citations), Horticulture (4 citations), Parasitology (21 citations), Molecular Biology (138 citations) and Biotechnology (17 citations). Maksym Danchenko has collaborated with scholars based in Slovakia, Ukraine and Czechia. Frequent co-authors include Ľudovít Škultéty, Marián Hajdúch, Katarína Klubicová, Terézia Salaj, Anna Preťová, Ľubica Uváčková, Ján A. Miernyk, Ľubomír Mátel, Péter Baráth and Andrej Kováč. Their work appears in journals such as Frontiers in Plant Science, Journal of Proteomics, Journal of Proteome Research, Ecotoxicology and Environmental Safety and International Journal of Molecular Sciences.
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.