Mirosław Markiewicz
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in
- Hematology 51
- Hematopoietic Stem Cell Transplantation 40
- Acute Myeloid Leukemia Research 18
- Chronic Myeloid Leukemia Treatments 9
- Co-authors
- Sławomira Kyrcz‐KrzemieńJerzy WojnarJerzy HołowieckiGrzegorz HelbigMałgorzata Krawczyk‐KuliśSebastian GiebelMonika Dzierżak‐MietłaGretchen A. Cloud
In The Last Decade
Mirosław Markiewicz
59 papers receiving 660 citations
Peers
Comparison fields: 5 of 89
- Hematology 335
- Transplantation 42
- Immunology 221
- Dermatology 58
- Genetics 68
Countries citing papers authored by Mirosław Markiewicz
This map shows the geographic impact of Mirosław Markiewicz'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 Mirosław Markiewicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirosław Markiewicz more than expected).
Fields of papers citing papers by Mirosław Markiewicz
This network shows the impact of papers produced by Mirosław Markiewicz. 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 Mirosław Markiewicz. The network helps show where Mirosław Markiewicz may publish in the future.
Co-authors
The 25 scholars most cited alongside Mirosław Markiewicz, 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 | 2024 | 3 | |
| 2 | 2021 | 0 | |
| 3 | 2021 | 2 | |
| 4 | 2021 | 1 | |
| 5 | 2019 | 15 | |
| 6 | 2019 | 13 | |
| 7 | 2017 | 5 | |
| 8 | 2017 | 12 | |
| 9 | 2015 | 9 | |
| 10 | 2015 | 2 | |
| 11 | 2013 | 16 | |
| 12 | 2012 | 24 | |
| 13 | 2011 | 1 | |
| 14 | 2009 | 18 | |
| 15 | 2007 | 6 | |
| 16 | 2006 | 30 | |
| 17 | Treosulfan, cyclophosphamide and antithymocyte globulin for allogeneic hematopoietic cell transplantation in acquired severe aplastic anemia. | 2006 | 7 |
| 18 | The impact of immunosuppressive therapy on an early quantitative NK cell reconstitution after allogeneic haematopoietic cell transplantation. | 2005 | 9 |
| 19 | 2004 | 1 | |
| 20 | 2000 | 5 |
About Mirosław Markiewicz
Mirosław Markiewicz is a scholar working on Hematology, Transplantation, Immunology, Genetics and Otorhinolaryngology, having authored 67 papers that have together received 680 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (40 papers), Acute Myeloid Leukemia Research (18 papers), T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (12 papers), Acute Lymphoblastic Leukemia research (11 papers), Chronic Myeloid Leukemia Treatments (9 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Oral health in cancer treatment (6 papers). The work is most often cited by research in Hematology (335 citations), Transplantation (42 citations), Immunology (221 citations), Dermatology (58 citations) and Genetics (68 citations). Mirosław Markiewicz has collaborated with scholars based in Poland, Germany and Italy. Frequent co-authors include Sławomira Kyrcz‐Krzemień, Jerzy Wojnar, Jerzy Hołowiecki, Grzegorz Helbig, Małgorzata Krawczyk‐Kuliś, Sebastian Giebel, Monika Dzierżak‐Mietła, Gretchen A. Cloud, Kim Edmonds and Anton J. Bueschen. Their work appears in journals such as Blood, European Journal Of Haematology, British Journal of Haematology, Annals of Hematology and Bone Marrow Transplantation.
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.