Ewa Kępczyńska
- Plant Science top 2%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Cell Biology
- Insect Science top 10%
- Co-authors
- Jan KępczyńskiSylwia ZielińskaAnna OrłowskaStephan PollmannJan OszmiańskiKatarzyna Lorenc-KukułaJan SzopaMagdalena Wróbel‐Kwiatkowska
- Topics
- Plant tissue culture and regeneration (27 papers)Seed Germination and Physiology (21 papers)Plant Molecular Biology Research (11 papers)
In The Last Decade
Ewa Kępczyńska
44 papers receiving 890 citations
Peers
Comparison fields: 5 of 54
- Plant Science 830
- Molecular Biology 460
- Ecology, Evolution, Behavior and Systematics 77
- Cell Biology 62
- Insect Science 46
Countries citing papers authored by Ewa Kępczyńska
This map shows the geographic impact of Ewa Kępczyńska'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 Ewa Kępczyńska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Kępczyńska more than expected).
Fields of papers citing papers by Ewa Kępczyńska
This network shows the impact of papers produced by Ewa Kępczyńska. 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 Ewa Kępczyńska. The network helps show where Ewa Kępczyńska may publish in the future.
Co-authorship network of co-authors of Ewa Kępczyńska
This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Kępczyńska. A scholar is included among the top collaborators of Ewa Kępczyńska based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ewa Kępczyńska. Ewa Kępczyńska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 20 | |
| 5 | 6 | |
| 6 | 33 | |
| 7 | 17 | |
| 8 | 100 | |
| 9 | 70 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | In vitro germination and conversion of somatic embryos | 2 |
| 13 | Inhibitory effect of methyl jasmonate on development of phytopathogen Alternaria alternata [Fr.] Keissl. and its reversal by ethephon and ACC | 3 |
| 14 | Manipulation of ethylene biosynthesis | 5 |
| 15 | Wplyw melatoniny na tworzenie sie pedow przybyszowych rozy miniaturowej White Gem w kulturach in vitro | 1 |
| 16 | 78 | |
| 17 | 6 | |
| 18 | 27 | |
| 19 | The effects of 2,4-D, NAA and picloram on callus induction and somatic embryogenesis in ornamental asparagus | 1 |
| 20 | Rate of dissipation of triadimefon and its metabolite in strawberry fruits | 0 |
About Ewa Kępczyńska
Ewa Kępczyńska is a scholar working on Plant Science, Molecular Biology and Biotechnology, having authored 46 papers that have together received 919 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (27 papers), Seed Germination and Physiology (21 papers) and Plant Molecular Biology Research (11 papers). The work is most often cited by research in Plant Science (830 citations), Molecular Biology (460 citations) and Physiology (22 citations). Ewa Kępczyńska has collaborated with scholars based in Poland, Russia and Germany. Frequent co-authors include Jan Kępczyński, Sylwia Zielińska, Anna Orłowska, Stephan Pollmann, Jan Oszmiański, Katarzyna Lorenc-Kukuła, Jan Szopa, Magdalena Wróbel‐Kwiatkowska, M. Starzycki and Elmar W. Weiler. Their work appears in journals such as PLoS ONE, Journal of Experimental Botany and Planta.
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.