Zdeno Šubr
- Plant Science top 5%
- Endocrinology top 1%
- Insect Science top 5%
- Molecular Biology
- Epidemiology
- Co-authors
- Miroslav GlasaThierry CandresseGérard LabonneLukáš PredajňaPetr KomínekL. PalkovicsVéronique Marie-JeanneM. Cambra
- Topics
- Plant Virus Research Studies (53 papers)Plant and Fungal Interactions Research (17 papers)Transgenic Plants and Applications (15 papers)
In The Last Decade
Zdeno Šubr
56 papers receiving 638 citations
Peers
Comparison fields: 5 of 42
- Plant Science 646
- Endocrinology 338
- Insect Science 116
- Molecular Biology 114
- Epidemiology 92
Countries citing papers authored by Zdeno Šubr
This map shows the geographic impact of Zdeno Šubr'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 Zdeno Šubr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zdeno Šubr more than expected).
Fields of papers citing papers by Zdeno Šubr
This network shows the impact of papers produced by Zdeno Šubr. 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 Zdeno Šubr. The network helps show where Zdeno Šubr may publish in the future.
Co-authorship network of co-authors of Zdeno Šubr
This figure shows the co-authorship network connecting the top 25 collaborators of Zdeno Šubr. A scholar is included among the top collaborators of Zdeno Šubr 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 Zdeno Šubr. Zdeno Šubr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 45 | |
| 8 | 28 | |
| 9 | Biolistic transfection of plants by infectious cDNA clones of Plum pox virus | 2 |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 12 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | Preparation of diagnostic monoclonal antibodies against two potyviruses. | 12 |
| 16 | Monoclonal antibodies against potato virus A -- immunoblot analysis. | 3 |
| 17 | Partial antigenic characterization of potato virus S (Andean strain) by monoclonal antibodies. | 2 |
| 18 | Alfalfa mosaic virus strains T6 and 425 differ in their capsid protein. | 1 |
| 19 | Preparation and specificity of antibodies against coat proteins of broad bean stain virus. | 0 |
| 20 | Some properties of coat proteins of two comoviruses. | 1 |
About Zdeno Šubr
Zdeno Šubr is a scholar working on Endocrinology, Biotechnology and Plant Science, having authored 60 papers that have together received 679 indexed citations. Recurring topics across this work include Plant Virus Research Studies (53 papers), Plant and Fungal Interactions Research (17 papers) and Transgenic Plants and Applications (15 papers). The work is most often cited by research in Endocrinology (338 citations), Plant Science (646 citations) and Horticulture (13 citations). Zdeno Šubr has collaborated with scholars based in Slovakia, Czechia and France. Frequent co-authors include Miroslav Glasa, Thierry Candresse, Gérard Labonne, Lukáš Predajňa, Petr Komínek, L. Palkovics, Véronique Marie-Jeanne, M. Cambra, Noemi Čeřovská and Katarína Šoltýs. Their work appears in journals such as Journal of General Virology, Phytopathology and Virus Research.
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.