Ágnes Cséplö
- Plant Science top 2%
- Molecular Biology top 10%
- Ecology, Evolution, Behavior and Systematics
- Biotechnology
- Renewable Energy, Sustainability and the Environment
- Co-authors
- László SzabadosLaura ZsigmondGábor RigóFerhan AyaydinCsaba KonczPál MaligaGyöngyi SzékelyJolán Csiszár
- Topics
- Plant Molecular Biology Research (10 papers)Plant tissue culture and regeneration (8 papers)Photosynthetic Processes and Mechanisms (7 papers)
In The Last Decade
Ágnes Cséplö
24 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Plant Science 956
- Molecular Biology 744
- Ecology, Evolution, Behavior and Systematics 35
- Biotechnology 35
- Renewable Energy, Sustainability and the Environment 34
Countries citing papers authored by Ágnes Cséplö
This map shows the geographic impact of Ágnes Cséplö'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 Ágnes Cséplö with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ágnes Cséplö more than expected).
Fields of papers citing papers by Ágnes Cséplö
This network shows the impact of papers produced by Ágnes Cséplö. 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 Ágnes Cséplö. The network helps show where Ágnes Cséplö may publish in the future.
Co-authorship network of co-authors of Ágnes Cséplö
This figure shows the co-authorship network connecting the top 25 collaborators of Ágnes Cséplö. A scholar is included among the top collaborators of Ágnes Cséplö 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 Ágnes Cséplö. Ágnes Cséplö is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | 22 | |
| 5 | 27 | |
| 6 | 75 | |
| 7 | 17 | |
| 8 | Suspension protoplasts as useful experimental tool to study localization of GFP-tagged proteins in Arabidopsis thaliana | 3 |
| 9 | Duplicated P5CS genes of Arabidopsis play distinct roles in stress regulation and developmental control of proline biosynthesisbreakdown → | 564 |
| 10 | 46 | |
| 11 | Disease in large numbers in a turkey flock caused by Yersinia pseudotuberculosis. | 0 |
| 12 | 9 | |
| 13 | 20 | |
| 14 | 7 | |
| 15 | 34 | |
| 16 | 19 | |
| 17 | 23 | |
| 18 | 39 | |
| 19 | 26 | |
| 20 | Induced mutations in advancing in vitro culture techniques | 3 |
About Ágnes Cséplö
Ágnes Cséplö is a scholar working on Aging, Plant Science and Biotechnology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (10 papers), Plant tissue culture and regeneration (8 papers) and Photosynthetic Processes and Mechanisms (7 papers). The work is most often cited by research in Plant Science (956 citations), Molecular Biology (744 citations) and Biotechnology (35 citations). Ágnes Cséplö has collaborated with scholars based in Hungary, Germany and Czechia. Frequent co-authors include László Szabados, Laura Zsigmond, Gábor Rigó, Ferhan Ayaydin, Csaba Koncz, Pál Maliga, Gyöngyi Székely, Jolán Csiszár, Ján Jásik and Elmon Schmelzer. Their work appears in journals such as The Plant Cell, PLANT PHYSIOLOGY and The Plant Journal.
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.