Zbigniew Przybecki
- Horticulture top 1%
- Cocoa and Sweet Potato Agronomy 7
- Plant Science top 10%
- Plant Molecular Biology Research 12
- Chromosomal and Genetic Variations 7
- Plant Virus Research Studies 6
- Genetics top 10%
- Advances in Cucurbitaceae Research 19
-
- Genomics and Phylogenetic Studies 8
- Plant Reproductive Biology 6
- Photosynthetic Processes and Mechanisms 5
- Co-authors
- Magdalena PawełkowiczWojciech PląderEwa Urbańczyk-WochniakRafał WóycickiMarcin FilipeckiS. MalepszyNorikazu TagashiraGrzegorz Bartoszewski
- Cited by
- HorticulturePlant ScienceGenetics
In The Last Decade
Zbigniew Przybecki
31 papers receiving 377 citations
Peers
Comparison fields: 5 of 29
- Horticulture 116
- Plant Science 297
- Genetics 195
- Molecular Biology 187
- Endocrinology 6
Countries citing papers authored by Zbigniew Przybecki
This map shows the geographic impact of Zbigniew Przybecki'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 Zbigniew Przybecki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zbigniew Przybecki more than expected).
Fields of papers citing papers by Zbigniew Przybecki
This network shows the impact of papers produced by Zbigniew Przybecki. 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 Zbigniew Przybecki. The network helps show where Zbigniew Przybecki may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Zbigniew Przybecki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 23 | |
| 2 | 2019 | 39 | |
| 3 | 2019 | 43 | |
| 4 | 2017 | 2 | |
| 5 | 2017 | 1 | |
| 6 | 2015 | 30 | |
| 7 | 2015 | 3 | |
| 8 | 2014 | 3 | |
| 9 | 2014 | 7 | |
| 10 | 2014 | 5 | |
| 11 | Identification and characterization of genes connected with flower morphogenesis in cucumber | 2012 | 7 |
| 12 | 2011 | 14 | |
| 13 | 2011 | 95 | |
| 14 | Sekwencjonowanie genomów i rozwój biotechnologii | 2010 | 1 |
| 15 | 2008 | 1 | |
| 16 | 2007 | 6 | |
| 17 | 2006 | 5 | |
| 18 | Polymorphom of sexually different cucumber (Cucumis sativus L.) NIL lines. | 2004 | 15 |
| 19 | AFLP marker polymorphism in cucumber (Cucumis sativus L.) near isogenic lines differing in sex expression. | 2003 | 15 |
| 20 | A useful protocol for in situ RT-PCR on plant tissues. | 2002 | 20 |
About Zbigniew Przybecki
Zbigniew Przybecki is a scholar working on Horticulture, Genetics and Plant Science, having authored 32 papers that have together received 387 indexed citations. Recurring topics across this work include Advances in Cucurbitaceae Research (19 papers), Plant Molecular Biology Research (12 papers), Genomics and Phylogenetic Studies (8 papers), Chromosomal and Genetic Variations (7 papers), Cocoa and Sweet Potato Agronomy (7 papers), Plant Virus Research Studies (6 papers), Plant Reproductive Biology (6 papers) and Photosynthetic Processes and Mechanisms (5 papers). The work is most often cited by research in Horticulture (116 citations), Plant Science (297 citations) and Genetics (195 citations). Zbigniew Przybecki has collaborated with scholars based in Poland, Germany and Japan. Frequent co-authors include Magdalena Pawełkowicz, Wojciech Pląder, Ewa Urbańczyk-Wochniak, Rafał Wóycicki, Marcin Filipecki, S. Malepszy, Norikazu Tagashira, Grzegorz Bartoszewski, Yoshikazu Hoshi and Alexandre Lomsadze. Their work appears in journals such as Cytogenetic and Genome Research, Molecular Genetics and Genomics, Cellular & Molecular Biology Letters, Plant Reproduction and Plant Science.
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.