Ewa Matczak
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments 5
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 3
- Gastroenterology top 5%
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- Renal cell carcinoma treatment 10
- Oncology top 10%
- Cancer Diagnosis and Treatment 3
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- Renal and related cancers 7
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- Cancer Genomics and Diagnostics 5
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- Economic and Financial Impacts of Cancer 4
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- Acute Lymphoblastic Leukemia research 3
- Co-authors
- Xun LinRobert J. MotzerXuefeng ZhangJerome E. GroopmanJianfeng WangKolette D. FlyCarlo Gambacorti‐PasseriniEric Leip
- Cited by
- HematologyGeneticsGastroenterology
- Journals
- Journal of Clinical Oncology (3 papers)American Journal of Hematology (3 papers)Cancer (2 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Ewa Matczak
22 papers receiving 854 citations
Peers
Comparison fields: 5 of 62
- Hematology 249
- Genetics 180
- Gastroenterology 72
- Pulmonary and Respiratory Medicine 384
- Oncology 295
Countries citing papers authored by Ewa Matczak
This map shows the geographic impact of Ewa Matczak'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 Ewa Matczak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Matczak more than expected).
Fields of papers citing papers by Ewa Matczak
This network shows the impact of papers produced by Ewa Matczak. 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 Ewa Matczak. The network helps show where Ewa Matczak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ewa Matczak, 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 | 2017 | 40 | |
| 2 | 2016 | 1 | |
| 3 | 2016 | 35 | |
| 4 | 2016 | 68 | |
| 5 | 2016 | 12 | |
| 6 | 2016 | 70 | |
| 7 | 2015 | 85 | |
| 8 | 2015 | 56 | |
| 9 | 2015 | 0 | |
| 10 | 2014 | 57 | |
| 11 | 2014 | 5 | |
| 12 | 2013 | 111 | |
| 13 | 2013 | 108 | |
| 14 | Zastosowanie metody drzew klasyfikacyjnych w analizie aspiracji edukacyjnych rodziców | 2013 | 1 |
| 15 | 2012 | 2 | |
| 16 | 2006 | 8 | |
| 17 | 2001 | 9 | |
| 18 | 2001 | 144 | |
| 19 | 1999 | 16 | |
| 20 | 1997 | 2 |
About Ewa Matczak
Ewa Matczak is a scholar working on Hematology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 24 papers that have together received 866 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (10 papers), Renal and related cancers (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Cancer Genomics and Diagnostics (5 papers), Economic and Financial Impacts of Cancer (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer Diagnosis and Treatment (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Hematology (249 citations), Genetics (180 citations) and Gastroenterology (72 citations). Ewa Matczak has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Xun Lin, Robert J. Motzer, Xuefeng Zhang, Jerome E. Groopman, Jianfeng Wang, Kolette D. Fly, Carlo Gambacorti‐Passerini, Eric Leip, H. Jean Khoury and Jörge E. Cortes. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Hematology, Cancer, British Journal of Cancer and Blood.
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.