Andrzej Wierzbicki
- Plant Science top 0.5%
- Molecular Biology top 5%
- Cancer Research top 5%
- Endocrinology top 1%
- Structural Biology top 2%
- Co-authors
- Craig S. PikaardJeremy R. HaagGudrun BöhmdorferThomas S. ReamM. Jordan RowleyTodd BlevinsYongyou ZhuAndrzej Jerzmanowski
- Topics
- Plant Molecular Biology Research (17 papers)Chromosomal and Genetic Variations (11 papers)Plant nutrient uptake and metabolism (8 papers)
- Partner nations
- United StatesPolandJapan
In The Last Decade
Andrzej Wierzbicki
54 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Plant Science 2.3k
- Molecular Biology 1.9k
- Cancer Research 464
- Endocrinology 306
- Structural Biology 119
Countries citing papers authored by Andrzej Wierzbicki
This map shows the geographic impact of Andrzej Wierzbicki'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 Andrzej Wierzbicki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Wierzbicki more than expected).
Fields of papers citing papers by Andrzej Wierzbicki
This network shows the impact of papers produced by Andrzej Wierzbicki. 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 Andrzej Wierzbicki. The network helps show where Andrzej Wierzbicki may publish in the future.
Co-authorship network of co-authors of Andrzej Wierzbicki
This figure shows the co-authorship network connecting the top 25 collaborators of Andrzej Wierzbicki. A scholar is included among the top collaborators of Andrzej Wierzbicki 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 Andrzej Wierzbicki. Andrzej Wierzbicki 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 | 2 | |
| 4 | 12 | |
| 5 | 27 | |
| 6 | 22 | |
| 7 | 28 | |
| 8 | 8 | |
| 9 | 25 | |
| 10 | 77 | |
| 11 | 202 | |
| 12 | 101 | |
| 13 | 26 | |
| 14 | 141 | |
| 15 | 114 | |
| 16 | 164 | |
| 17 | 127 | |
| 18 | Noncoding Transcription by RNA Polymerase Pol IVb/Pol V Mediates Transcriptional Silencing of Overlapping and Adjacent Genesbreakdown → | 553 |
| 19 | 199 | |
| 20 | 23 |
About Andrzej Wierzbicki
Andrzej Wierzbicki is a scholar working on Structural Biology, Plant Science and Endocrinology, having authored 56 papers that have together received 3.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (17 papers), Chromosomal and Genetic Variations (11 papers) and Plant nutrient uptake and metabolism (8 papers). The work is most often cited by research in Structural Biology (119 citations), Plant Science (2.3k citations) and Endocrinology (306 citations). Andrzej Wierzbicki has collaborated with scholars based in United States, Poland and Japan. Frequent co-authors include Craig S. Pikaard, Jeremy R. Haag, Gudrun Böhmdorfer, Thomas S. Ream, M. Jordan Rowley, Todd Blevins, Yongyou Zhu, Andrzej Jerzmanowski, Szymon Świeżewski and Jian‐Kang Zhu. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.