Magdalena Chechlińska
- Oncology top 10%
- Chemokine receptors and signaling 4
- Inflammatory Biomarkers in Disease Prognosis 4
- Cancer Research top 10%
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
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- Immune cells in cancer 4
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 9
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- Ovarian cancer diagnosis and treatment 5
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- CNS Lymphoma Diagnosis and Treatment 3
- Co-authors
- Magdalena KowalewskaRadosława NowakJanina KamińskaM KowalskaMałgorzata FuksiewiczJan SteffenBeata KotowiczMaciej Głogowski
- Cited by
- OncologyCancer ResearchImmunology
In The Last Decade
Magdalena Chechlińska
37 papers receiving 768 citations
Peers
Comparison fields: 5 of 77
- Oncology 370
- Cancer Research 197
- Immunology 186
- Pathology and Forensic Medicine 122
- Reproductive Medicine 42
Countries citing papers authored by Magdalena Chechlińska
This map shows the geographic impact of Magdalena Chechlińska'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 Magdalena Chechlińska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magdalena Chechlińska more than expected).
Fields of papers citing papers by Magdalena Chechlińska
This network shows the impact of papers produced by Magdalena Chechlińska. 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 Magdalena Chechlińska. The network helps show where Magdalena Chechlińska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Magdalena Chechlińska, 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 | 1 | |
| 2 | 2024 | 13 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 7 | |
| 5 | 2020 | 17 | |
| 6 | 2018 | 13 | |
| 7 | 2018 | 44 | |
| 8 | 2017 | 3 | |
| 9 | 2015 | 17 | |
| 10 | 2012 | 7 | |
| 11 | 2010 | 18 | |
| 12 | 2010 | 10 | |
| 13 | 2009 | 8 | |
| 14 | 2009 | 11 | |
| 15 | 2009 | 129 | |
| 16 | 2008 | 15 | |
| 17 | 2006 | 104 | |
| 18 | 2005 | 93 | |
| 19 | The role of cytokines in carcinogenesis | 2003 | 5 |
| 20 | Interleukin-10 (IL-10), interleukin-1 receptor antagonist (IL-1ra) and soluble IL-2 receptor alpha (sIL-2Ra) in ascitic and cystic fluids from pat ients with malignant and benign ovarian tumours | 1996 | 1 |
About Magdalena Chechlińska
Magdalena Chechlińska is a scholar working on Reproductive Medicine, Pathology and Forensic Medicine and Immunology, having authored 38 papers that have together received 790 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Ovarian cancer diagnosis and treatment (5 papers), MicroRNA in disease regulation (5 papers), Chemokine receptors and signaling (4 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Immune cells in cancer (4 papers), Cancer-related molecular mechanisms research (4 papers) and CNS Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Oncology (370 citations), Cancer Research (197 citations) and Immunology (186 citations). Magdalena Chechlińska has collaborated with scholars based in Poland, Hungary and Spain. Frequent co-authors include Magdalena Kowalewska, Radosława Nowak, Janina Kamińska, M Kowalska, Małgorzata Fuksiewicz, Jan Steffen, Beata Kotowicz, Maciej Głogowski, Jan Konrad Siwicki and E. Wójcik. Their work appears in journals such as Tumor Biology, Medical Oncology, European Journal of Cancer, The International Journal of Biological Markers and Cancers.
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.