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
-
- Peroxisome Proliferator-Activated Receptors 12
- Metabolism, Diabetes, and Cancer 5
- Oncology 7
- Cancer Cells and Metastasis 5
- Co-authors
- Przemysław M. Płonka (10 shared papers)Krzysztof Reiss (15 shared papers)Małgorzata Pierzchalska (19 shared papers)Krystyna Urbańska (3 shared papers)Agnieszka Wikiera (4 shared papers)Magdalena Mika (4 shared papers)Piotr Pierzchalski (2 shared papers)Anna Wilk (5 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Archives of Dermatological Research (2 papers)Agricultural and Food Science (1 paper)Mitochondrion (1 paper)Molecular Cancer (1 paper)
- Partner nations
- PolandUnited StatesSlovakia
In The Last Decade
Maja Grabacka
45 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 325
- Cell Biology 236
- Molecular Biology 898
- Nutrition and Dietetics 175
- Biotechnology 102
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-authors
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
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 273 | |
| 2 | 2016 | 237 | |
| 3 | 2006 | 139 | |
| 4 | 2014 | 102 | |
| 5 | 2021 | 80 | |
| 6 | 2010 | 80 | |
| 7 | 2014 | 72 | |
| 8 | 2004 | 69 | |
| 9 | 2008 | 62 | |
| 10 | 2018 | 62 | |
| 11 | 2021 | 57 | |
| 12 | 2008 | 53 | |
| 13 | 2012 | 52 | |
| 14 | 2021 | 49 | |
| 15 | 2013 | 48 | |
| 16 | 2008 | 48 | |
| 17 | 2012 | 48 | |
| 18 | 2014 | 45 | |
| 19 | 2008 | 40 | |
| 20 | 2016 | 34 |
About Maja Grabacka
Maja Grabacka is a scholar working on Molecular Biology, Oncology, Physiology, Geriatrics and Gerontology and Cancer Research, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (12 papers), Sirtuins and Resveratrol in Medicine (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Cancer Cells and Metastasis (5 papers), Diet and metabolism studies (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), melanin and skin pigmentation (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Cancer Research (325 citations), Cell Biology (236 citations), Molecular Biology (898 citations), Nutrition and Dietetics (175 citations) and Biotechnology (102 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, Agnieszka Wikiera, Magdalena Mika, 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, Agricultural and Food Science, Mitochondrion and Molecular Cancer.
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.