Piotr A. Ziółkowski
- Plant Science top 2%
- Molecular Biology top 10%
- Genetics top 10%
- Cell Biology
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Ian R. HendersonJan SadowskiKyuha ChoiXiaohui ZhaoNataliya E. YelinaChristophe LambingF. Chris H. FranklinCharles J. Underwood
- Topics
- Chromosomal and Genetic Variations (20 papers)Photosynthetic Processes and Mechanisms (16 papers)DNA Repair Mechanisms (13 papers)
- Partner nations
- PolandUnited KingdomUnited States
In The Last Decade
Piotr A. Ziółkowski
30 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 54
- Plant Science 1.1k
- Molecular Biology 1.1k
- Genetics 245
- Cell Biology 52
- Ecology, Evolution, Behavior and Systematics 48
Countries citing papers authored by Piotr A. Ziółkowski
This map shows the geographic impact of Piotr A. Ziółkowski'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 Piotr A. Ziółkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr A. Ziółkowski more than expected).
Fields of papers citing papers by Piotr A. Ziółkowski
This network shows the impact of papers produced by Piotr A. Ziółkowski. 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 Piotr A. Ziółkowski. The network helps show where Piotr A. Ziółkowski may publish in the future.
Co-authorship network of co-authors of Piotr A. Ziółkowski
This figure shows the co-authorship network connecting the top 25 collaborators of Piotr A. Ziółkowski. A scholar is included among the top collaborators of Piotr A. Ziółkowski 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 Piotr A. Ziółkowski. Piotr A. Ziółkowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 8 | |
| 9 | 38 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 43 | |
| 13 | 93 | |
| 14 | 155 | |
| 15 | 20 | |
| 16 | 131 | |
| 17 | Comparative sequencing of genomes: generating of INDEL and SNP genetic markers | 0 |
| 18 | 39 | |
| 19 | 40 | |
| 20 | 34 |
About Piotr A. Ziółkowski
Piotr A. Ziółkowski is a scholar working on Plant Science, Molecular Biology and Genetics, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (20 papers), Photosynthetic Processes and Mechanisms (16 papers) and DNA Repair Mechanisms (13 papers). The work is most often cited by research in Plant Science (1.1k citations), Molecular Biology (1.1k citations) and Horticulture (12 citations). Piotr A. Ziółkowski has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include Ian R. Henderson, Jan Sadowski, Kyuha Choi, Xiaohui Zhao, Nataliya E. Yelina, Christophe Lambing, F. Chris H. Franklin, Charles J. Underwood, Thomas J. Hardcastle and Gregory P. Copenhaver. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.