Maja Grabacka
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Cell Biology top 5%
- melanin and skin pigmentation
Papers in
-
- Sirtuins and Resveratrol in Medicine 5
- Co-authors
- Przemysław M. PłonkaKrzysztof ReissMałgorzata PierzchalskaKrystyna UrbańskaMagdalena MikaAgnieszka WikieraPiotr PierzchalskiAnna Wilk
- Journals
- International Journal of Molecular Sciences (4 papers)Archives of Dermatological Research (2 papers)Poultry Science (1 paper)Clinical Cancer Research (1 paper)Food Hydrocolloids (1 paper)
- Partner nations
- PolandUnited StatesSlovakia
In The Last Decade
Maja Grabacka
44 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 354
- Cell Biology 236
- Molecular Biology 936
- Nutrition and Dietetics 176
- Biotechnology 94
Countries citing papers authored by Maja Grabacka
This map shows the geographic impact of Maja Grabacka'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 Maja Grabacka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Grabacka more than expected).
Fields of papers citing papers by Maja Grabacka
This network shows the impact of papers produced by Maja Grabacka. 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 Maja Grabacka. The network helps show where Maja Grabacka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maja Grabacka, 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 | 2024 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 47 | |
| 6 | 2018 | 61 | |
| 7 | 2017 | 26 | |
| 8 | 2017 | 20 | |
| 9 | 2016 | 31 | |
| 10 | 2016 | 4 | |
| 11 | 2016 | 16 | |
| 12 | 2013 | 48 | |
| 13 | 2013 | 16 | |
| 14 | 2012 | 52 | |
| 15 | 2010 | 78 | |
| 16 | 2008 | 46 | |
| 17 | 2008 | 53 | |
| 18 | 2008 | 37 | |
| 19 | 2005 | 20 | |
| 20 | 2004 | 68 |
About Maja Grabacka
Maja Grabacka is a scholar working on Geriatrics and Gerontology, Immunology and Allergy, Cancer Research, Molecular Biology and Oncology, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (12 papers), Diet and metabolism studies (5 papers), Cancer Cells and Metastasis (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Sirtuins and Resveratrol in Medicine (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Protein Degradation and Inhibitors (4 papers) and Digestive system and related health (3 papers). The work is most often cited by research in Cancer Research (354 citations), Cell Biology (236 citations), Molecular Biology (936 citations), Nutrition and Dietetics (176 citations) and Biotechnology (94 citations). Maja Grabacka has collaborated with scholars based in Poland, United States and Slovakia. Frequent co-authors include Przemysław M. Płonka, Krzysztof Reiss, Małgorzata Pierzchalska, Krystyna Urbańska, Magdalena Mika, Agnieszka Wikiera, Piotr Pierzchalski, Anna Wilk, Katarzyna Urbańska and Luis Del Valle. Their work appears in journals such as International Journal of Molecular Sciences, Archives of Dermatological Research, Poultry Science, Clinical Cancer Research and Food Hydrocolloids.
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.