Anna Preťová
Impact in
- Plant Science top 5%
- Plant Genetic and Mutation Studies
- Plant Stress Responses and Tolerance
- Seed Germination and Physiology
- Plant Molecular Biology Research
- Biotechnology top 10%
- Transgenic Plants and Applications
Papers in
-
- Plant tissue culture and regeneration 16
- Plant Reproductive Biology 6
- Photosynthetic Processes and Mechanisms 2
-
- Seed Germination and Physiology 10
- Plant Genetic and Mutation Studies 8
- Chromosomal and Genetic Variations 3
- Co-authors
- Marián Hajdúch (5 shared papers)B. Obert (12 shared papers)Randeep Rakwal (1 shared paper)Masami Yonekura (1 shared paper)Ganesh Kumar Agrawal (1 shared paper)Steve Millam (2 shared papers)Bernard Watillon (2 shared papers)Ľudovít Škultéty (3 shared papers)
In The Last Decade
Anna Preťová
21 papers receiving 533 citations
Peers
Comparison fields: 5 of 67
- Plant Science 450
- Biotechnology 53
- Molecular Biology 337
- Filtration and Separation 8
- Pollution 32
Countries citing papers authored by Anna Preťová
This map shows the geographic impact of Anna Preťová'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 Anna Preťová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Preťová more than expected).
Fields of papers citing papers by Anna Preťová
This network shows the impact of papers produced by Anna Preťová. 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 Anna Preťová. The network helps show where Anna Preťová may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Preťová, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 170 | |
| 2 | 2014 | 55 | |
| 3 | 2005 | 55 | |
| 4 | 2009 | 46 | |
| 5 | 1994 | 33 | |
| 6 | 2010 | 30 | |
| 7 | 2014 | 26 | |
| 8 | 2010 | 25 | |
| 9 | 1992 | 25 | |
| 10 | 2004 | 20 | |
| 11 | 2005 | 17 | |
| 12 | 1992 | 13 | |
| 13 | 2013 | 12 | |
| 14 | 2005 | 11 | |
| 15 | 2009 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 1974 | 7 | |
| 18 | 2005 | 6 | |
| 19 | 2016 | 3 | |
| 20 | 2008 | 2 |
About Anna Preťová
Anna Preťová is a scholar working on Molecular Biology, Plant Science, Biotechnology, Public Health, Environmental and Occupational Health and Management Information Systems, having authored 21 papers that have together received 574 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (16 papers), Seed Germination and Physiology (10 papers), Plant Genetic and Mutation Studies (8 papers), Plant Reproductive Biology (6 papers), Transgenic Plants and Applications (3 papers), Chromosomal and Genetic Variations (3 papers), Reproductive Biology and Fertility (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Plant Science (450 citations), Biotechnology (53 citations), Molecular Biology (337 citations), Filtration and Separation (8 citations) and Pollution (32 citations). Anna Preťová has collaborated with scholars based in Slovakia, Czechia and Poland. Frequent co-authors include Marián Hajdúch, B. Obert, Randeep Rakwal, Masami Yonekura, Ganesh Kumar Agrawal, Steve Millam, Bernard Watillon, Ľudovít Škultéty, Patrick du Jardin and Beata Dedičová. Their work appears in journals such as Plant Cell Tissue and Organ Culture (PCTOC), Journal of Plant Physiology, Electrophoresis, Plant Cell Reports and Euphytica.
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.