Piotr Siciński
Impact in
- Oncology top 0.2%
- Cancer-related Molecular Pathways
- Cell Biology top 0.2%
- Microtubule and mitosis dynamics
Papers in
- Oncology 69
- Cancer-related Molecular Pathways 67
-
- Neurogenesis and neuroplasticity mechanisms 7
- Co-authors
- Tobias OttoQunyan YuYan GengRoderick T. BronsonEwa SicińskaHumphrey GardnerRobert A. WeinbergPer Hydbring
- Journals
- Nature (8 papers)Cell Cycle (7 papers)Proceedings of the National Academy of Sciences (6 papers)Cancer Cell (6 papers)Molecular and Cellular Biology (6 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Piotr Siciński
103 papers receiving 15.4k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Oncology 6.6k
- Cell Biology 2.5k
- Molecular Biology 10.2k
- Cancer Research 1.9k
- Developmental Neuroscience 465
Countries citing papers authored by Piotr Siciński
This map shows the geographic impact of Piotr Siciński'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 Siciński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Siciński more than expected).
Fields of papers citing papers by Piotr Siciński
This network shows the impact of papers produced by Piotr Siciński. 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 Siciński. The network helps show where Piotr Siciński may publish in the future.
Co-authors
The 25 scholars most cited alongside Piotr Siciński, 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 | 2023 | 6 | |
| 2 | CDK4 and CDK6 kinases: From basic science to cancer therapy Hit paper breakdown → | 2022 | 261 |
| 3 | 2020 | 17 | |
| 4 | 2020 | 16 | |
| 5 | 2018 | 30 | |
| 6 | 2018 | 15 | |
| 7 | 2017 | 31 | |
| 8 | 2015 | 10 | |
| 9 | 2014 | 24 | |
| 10 | 2014 | 184 | |
| 11 | 2013 | 16 | |
| 12 | 2013 | 9 | |
| 13 | 2010 | 46 | |
| 14 | 2007 | 138 | |
| 15 | 2006 | 71 | |
| 16 | 2004 | 85 | |
| 17 | Mouse Development and Cell Proliferation in the Absence of D-Cyclins Hit paper breakdown → | 2004 | 509 |
| 18 | 2000 | 79 | |
| 19 | 1996 | 53 | |
| 20 | Cyclin D1 provides a link between development and oncogenesis in the retina and breast Hit paper breakdown → | 1995 | 874 |
About Piotr Siciński
Piotr Siciński is a scholar working on Oncology, Developmental Neuroscience, Cell Biology, Molecular Biology and Biotechnology, having authored 106 papers that have together received 15.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (67 papers), Epigenetics and DNA Methylation (23 papers), Microtubule and mitosis dynamics (19 papers), Ubiquitin and proteasome pathways (19 papers), Advanced Breast Cancer Therapies (15 papers), Genomics and Chromatin Dynamics (8 papers), DNA Repair Mechanisms (7 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). The work is most often cited by research in Oncology (6.6k citations), Cell Biology (2.5k citations), Molecular Biology (10.2k citations), Cancer Research (1.9k citations) and Developmental Neuroscience (465 citations). Piotr Siciński has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Tobias Otto, Qunyan Yu, Yan Geng, Yan Geng, Roderick T. Bronson, Ewa Sicińska, Humphrey Gardner, Robert A. Weinberg, Per Hydbring and Pene J. Barnard. Their work appears in journals such as Nature, Cell Cycle, Proceedings of the National Academy of Sciences, Cancer Cell and Molecular and Cellular Biology.
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.