Jolanta Polanowska
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 10
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways 6
- DNA Repair Mechanisms 4
- Epigenetics and DNA Methylation 4
- CRISPR and Genetic Engineering 4
- Cancer-related gene regulation 3
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease 4
- Oncology top 10%
- Cancer-related Molecular Pathways 6
- Cancer Research top 10%
- Co-authors
- Yoshihiro NakataniIsao KuraokaMasafumi SaijoKiyoji TanakaRonny DrapkinRegina GroismanAlexei F. KisselevJun‐ichi Sawada
- Cited by
- AgingMolecular BiologyCell Biology
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)The EMBO Journal (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jolanta Polanowska
31 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Aging 277
- Molecular Biology 1.5k
- Cell Biology 244
- Oncology 311
- Cancer Research 164
Countries citing papers authored by Jolanta Polanowska
This map shows the geographic impact of Jolanta Polanowska'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 Jolanta Polanowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jolanta Polanowska more than expected).
Fields of papers citing papers by Jolanta Polanowska
This network shows the impact of papers produced by Jolanta Polanowska. 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 Jolanta Polanowska. The network helps show where Jolanta Polanowska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jolanta Polanowska, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 13 | |
| 4 | 2022 | 8 | |
| 5 | 2019 | 19 | |
| 6 | 2018 | 31 | |
| 7 | 2016 | 32 | |
| 8 | 2016 | 22 | |
| 9 | 2015 | 59 | |
| 10 | 2013 | 21 | |
| 11 | 2013 | 49 | |
| 12 | 2011 | 79 | |
| 13 | 2010 | 34 | |
| 14 | 2010 | 12 | |
| 15 | 2006 | 125 | |
| 16 | The Ubiquitin Ligase Activity in the DDB2 and CSA Complexes Is Differentially Regulated by the COP9 Signalosome in Response to DNA Damagebreakdown → | 2003 | 586 |
| 17 | 2002 | 185 | |
| 18 | 2000 | 28 | |
| 19 | 1999 | 69 | |
| 20 | 1998 | 61 |
About Jolanta Polanowska
Jolanta Polanowska is a scholar working on Aging, Cell Biology and Developmental Biology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (10 papers), Ubiquitin and proteasome pathways (6 papers), Cancer-related Molecular Pathways (6 papers), DNA Repair Mechanisms (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Epigenetics and DNA Methylation (4 papers), CRISPR and Genetic Engineering (4 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Aging (277 citations), Molecular Biology (1.5k citations) and Cell Biology (244 citations). Jolanta Polanowska has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Yoshihiro Nakatani, Isao Kuraoka, Masafumi Saijo, Kiyoji Tanaka, Ronny Drapkin, Regina Groisman, Alexei F. Kisselev, Jun‐ichi Sawada, Simon J. Boulton and Julie S. Martin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The EMBO Journal.
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.