Marek Dudziński
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Genetic Associations and Epidemiology
Papers in
- Hematology 19
- Multiple Myeloma Research and Treatments 17
- Chronic Myeloid Leukemia Treatments 2
- Genetics 7
- Chronic Lymphocytic Leukemia Research 6
- Myeloproliferative Neoplasms: Diagnosis and Treatment 1
- Co-authors
- Marek Hus (1 shared paper)Grzegorz Helbig (1 shared paper)Sławomira Kyrcz‐Krzemień (1 shared paper)Olga Grzybowska‐Izydorczyk (2 shared papers)Ewa M. Wasilewska (2 shared papers)Krzysztof Giannopoulos (2 shared papers)Tomasz Sacha (4 shared papers)Joanna Góra‐Tybor (4 shared papers)
In The Last Decade
Marek Dudziński
32 papers receiving 357 citations
Peers
Comparison fields: 5 of 35
- Hematology 162
- Genetics 65
- Health Informatics 7
- Rheumatology 31
- Genetics 32
Countries citing papers authored by Marek Dudziński
This map shows the geographic impact of Marek Dudziński'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 Marek Dudziński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Dudziński more than expected).
Fields of papers citing papers by Marek Dudziński
This network shows the impact of papers produced by Marek Dudziński. 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 Marek Dudziński. The network helps show where Marek Dudziński may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Dudziński, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 40 | |
| 2 | 2019 | 37 | |
| 3 | 2017 | 36 | |
| 4 | 2014 | 33 | |
| 5 | 2011 | 27 | |
| 6 | 2017 | 23 | |
| 7 | 2020 | 17 | |
| 8 | 2014 | 16 | |
| 9 | 2023 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2016 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2014 | 5 |
About Marek Dudziński
Marek Dudziński is a scholar working on Hematology, Genetics, Physiology, Pharmacology and Oncology, having authored 34 papers that have together received 362 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (17 papers), Chronic Lymphocytic Leukemia Research (6 papers), Telomeres, Telomerase, and Senescence (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Eosinophilic Disorders and Syndromes (1 paper) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (162 citations), Genetics (65 citations), Health Informatics (7 citations), Rheumatology (31 citations) and Genetics (32 citations). Marek Dudziński has collaborated with scholars based in Poland, Germany and Italy. Frequent co-authors include Marek Hus, Grzegorz Helbig, Sławomira Kyrcz‐Krzemień, Olga Grzybowska‐Izydorczyk, Ewa M. Wasilewska, Krzysztof Giannopoulos, Tomasz Sacha, Joanna Góra‐Tybor, Ewa Mędraś and Ewa Wąsik‐Szczepanek. Their work appears in journals such as International Journal of Cancer, Blood, Cancer Epidemiology Biomarkers & Prevention, Leukemia and Medical Oncology.
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.