Marta Morawska
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Chronic Lymphocytic Leukemia Research
Papers in
-
- Protein Degradation and Inhibitors 4
- Glycosylation and Glycoproteins Research 3
- Oncology 10
- Peptidase Inhibition and Analysis 5
- Co-authors
- Norbert Grząśko (11 shared papers)Marek Hus (7 shared papers)Kinga K. Borowicz (3 shared papers)J. Lewkowski (10 shared papers)Jarogniew J. Łuszczki (2 shared papers)Stanisław J. Czuczwar (2 shared papers)Diana Rogacz (6 shared papers)Anna Dmoszyńska (5 shared papers)
In The Last Decade
Marta Morawska
36 papers receiving 429 citations
Peers
Comparison fields: 5 of 71
- Hematology 124
- Genetics 39
- Oncology 93
- Pathology and Forensic Medicine 53
- Cancer Research 42
Countries citing papers authored by Marta Morawska
This map shows the geographic impact of Marta Morawska'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 Marta Morawska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Morawska more than expected).
Fields of papers citing papers by Marta Morawska
This network shows the impact of papers produced by Marta Morawska. 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 Marta Morawska. The network helps show where Marta Morawska may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Morawska, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 61 | |
| 2 | 2011 | 49 | |
| 3 | 2007 | 44 | |
| 4 | 2012 | 38 | |
| 5 | 2021 | 25 | |
| 6 | 2014 | 23 | |
| 7 | 2021 | 19 | |
| 8 | 2015 | 17 | |
| 9 | 2017 | 14 | |
| 10 | 2009 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2021 | 9 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2018 | 5 |
About Marta Morawska
Marta Morawska is a scholar working on Molecular Biology, Oncology, Genetics, Hematology and Organic Chemistry, having authored 38 papers that have together received 432 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Chronic Lymphocytic Leukemia Research (9 papers), Organophosphorus compounds synthesis (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Peptidase Inhibition and Analysis (5 papers), Protein Degradation and Inhibitors (4 papers), Pesticide and Herbicide Environmental Studies (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Hematology (124 citations), Genetics (39 citations), Oncology (93 citations), Pathology and Forensic Medicine (53 citations) and Cancer Research (42 citations). Marta Morawska has collaborated with scholars based in Poland, Czechia and Hungary. Frequent co-authors include Norbert Grząśko, Marek Hus, Kinga K. Borowicz, J. Lewkowski, Jarogniew J. Łuszczki, Stanisław J. Czuczwar, Diana Rogacz, Anna Dmoszyńska, Piotr Rychter and Andrzej Pluta. Their work appears in journals such as Blood, Molecules, Journal of Clinical Medicine, Hematological Oncology and Annals of Hematology.
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.