Roman Pleskot
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
-
- Photosynthetic Processes and Mechanisms 18
- Plant Reproductive Biology 17
- Lipid Membrane Structure and Behavior 11
- Glycosylation and Glycoproteins Research 3
- Cell Biology 21
- Cellular transport and secretion 18
- Microtubule and mitosis dynamics 2
- Co-authors
- Viktor Žárský (10 shared papers)Martin Potocký (16 shared papers)Přemysl Pejchar (11 shared papers)Christopher J. Staiger (4 shared papers)Daniël Van Damme (14 shared papers)Lukasz Cwiklik (3 shared papers)Tamara Pečenková (2 shared papers)Jiejie Li (2 shared papers)
In The Last Decade
Roman Pleskot
37 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 80
- Plant Science 749
- Biochemistry 135
- Cell Biology 301
- Molecular Biology 891
- Physiology 18
Countries citing papers authored by Roman Pleskot
This map shows the geographic impact of Roman Pleskot'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 Roman Pleskot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Pleskot more than expected).
Fields of papers citing papers by Roman Pleskot
This network shows the impact of papers produced by Roman Pleskot. 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 Roman Pleskot. The network helps show where Roman Pleskot may publish in the future.
Co-authors
The 25 scholars most cited alongside Roman Pleskot, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 97 | |
| 2 | 2019 | 93 | |
| 3 | 2017 | 83 | |
| 4 | 2016 | 82 | |
| 5 | 2010 | 82 | |
| 6 | 2022 | 79 | |
| 7 | 2014 | 68 | |
| 8 | 2017 | 61 | |
| 9 | 2012 | 59 | |
| 10 | 2021 | 53 | |
| 11 | 2015 | 45 | |
| 12 | 2016 | 43 | |
| 13 | 2012 | 39 | |
| 14 | 2014 | 38 | |
| 15 | 2021 | 37 | |
| 16 | 2021 | 27 | |
| 17 | 2021 | 27 | |
| 18 | 2020 | 26 | |
| 19 | 2024 | 23 | |
| 20 | 2017 | 23 |
About Roman Pleskot
Roman Pleskot is a scholar working on Molecular Biology, Cell Biology, Plant Science, Virology and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cellular transport and secretion (18 papers), Photosynthetic Processes and Mechanisms (18 papers), Plant Reproductive Biology (17 papers), Lipid Membrane Structure and Behavior (11 papers), Plant Molecular Biology Research (9 papers), Glycosylation and Glycoproteins Research (3 papers), Plant nutrient uptake and metabolism (3 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Plant Science (749 citations), Biochemistry (135 citations), Cell Biology (301 citations), Molecular Biology (891 citations) and Physiology (18 citations). Roman Pleskot has collaborated with scholars based in Czechia, Belgium and Germany. Frequent co-authors include Viktor Žárský, Martin Potocký, Přemysl Pejchar, Christopher J. Staiger, Daniël Van Damme, Lukasz Cwiklik, Tamara Pečenková, Jiejie Li, Pavel Jungwirth and Radek Bezvoda. Their work appears in journals such as PLANT PHYSIOLOGY, Nature Plants, Frontiers in Plant Science, Nature Communications and Proceedings of the National Academy of 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.