Iwona Mitrus
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
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- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
- Hematology 12
- Hematopoietic Stem Cell Transplantation 12
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- RNA Interference and Gene Delivery 4
- Angiogenesis and VEGF in Cancer 4
- Co-authors
- Stanisław Szala (11 shared papers)Aleksander Sochanik (8 shared papers)Tomasz Cichoń (6 shared papers)Sebastian Giebel (14 shared papers)Magdalena Głowala‐Kosińska (10 shared papers)Maria Saduś‐Wojciechowska (10 shared papers)Jerzy Hołowiecki (10 shared papers)Ryszard Smolarczyk (4 shared papers)
In The Last Decade
Iwona Mitrus
26 papers receiving 353 citations
Peers
Comparison fields: 5 of 70
- Hematology 83
- Genetics 40
- Pharmacology 30
- Clinical Biochemistry 23
- Immunology 71
Countries citing papers authored by Iwona Mitrus
This map shows the geographic impact of Iwona Mitrus'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 Iwona Mitrus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iwona Mitrus more than expected).
Fields of papers citing papers by Iwona Mitrus
This network shows the impact of papers produced by Iwona Mitrus. 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 Iwona Mitrus. The network helps show where Iwona Mitrus may publish in the future.
Co-authors
The 25 scholars most cited alongside Iwona Mitrus, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 66 | |
| 2 | 2017 | 33 | |
| 3 | 2013 | 30 | |
| 4 | Tumour therapy with genes encoding apoptin and E4orf4. | 2005 | 24 |
| 5 | 2009 | 22 | |
| 6 | 2012 | 20 | |
| 7 | 2013 | 17 | |
| 8 | 2000 | 17 | |
| 9 | 2012 | 17 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 13 | |
| 12 | 2010 | 13 | |
| 13 | 2015 | 12 | |
| 14 | 2016 | 12 | |
| 15 | 2006 | 11 | |
| 16 | 2017 | 8 | |
| 17 | 2013 | 8 | |
| 18 | 2012 | 5 | |
| 19 | 2010 | 5 | |
| 20 | 2012 | 4 |
About Iwona Mitrus
Iwona Mitrus is a scholar working on Hematology, Molecular Biology, Cancer Research, Oncology and Genetics, having authored 26 papers that have together received 363 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Cancer, Hypoxia, and Metabolism (5 papers), RNA Interference and Gene Delivery (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Mesenchymal stem cell research (4 papers), Cancer Cells and Metastasis (3 papers), Virus-based gene therapy research (3 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Hematology (83 citations), Genetics (40 citations), Pharmacology (30 citations), Clinical Biochemistry (23 citations) and Immunology (71 citations). Iwona Mitrus has collaborated with scholars based in Poland, Ukraine and Denmark. Frequent co-authors include Stanisław Szala, Aleksander Sochanik, Tomasz Cichoń, Sebastian Giebel, Magdalena Głowala‐Kosińska, Maria Saduś‐Wojciechowska, Jerzy Hołowiecki, Ryszard Smolarczyk, Ewa Missol‐Kolka and Magdalena Jarosz–Biej. Their work appears in journals such as Blood, Archivum Immunologiae et Therapiae Experimentalis, Bone Marrow Transplantation, Vox Sanguinis and Biology of Blood and 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.