Ewa Sitnicka
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 23
- Acute Myeloid Leukemia Research 13
- Platelet Disorders and Treatments 4
- Immunology top 1%
- Immune Cell Function and Interaction 25
- T-cell and B-cell Immunology 20
- Immunotherapy and Immune Responses 5
- Genetics top 2%
- Oncology top 5%
- CAR-T cell therapy research 4
- Molecular Biology top 5%
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- Acute Lymphoblastic Leukemia research 5
- Co-authors
- Sten Eirik W. JacobsenDavid BryderJörgen AdolfssonNatalija Buza-VidasYutaka SasakiKim Theilgaard‐MönchNS WolfMikael Sigvardsson
- Cited by
- HematologyImmunologyGenetics
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Ewa Sitnicka
51 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Hematology 2.0k
- Immunology 2.1k
- Genetics 555
- Oncology 572
- Molecular Biology 1.3k
Countries citing papers authored by Ewa Sitnicka
This map shows the geographic impact of Ewa Sitnicka'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 Sitnicka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Sitnicka more than expected).
Fields of papers citing papers by Ewa Sitnicka
This network shows the impact of papers produced by Ewa Sitnicka. 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 Sitnicka. The network helps show where Ewa Sitnicka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ewa Sitnicka, 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 | 2025 | 0 | |
| 2 | 2022 | 6 | |
| 3 | 2018 | 13 | |
| 4 | 2017 | 33 | |
| 5 | 2017 | 54 | |
| 6 | 2016 | 161 | |
| 7 | 2016 | 69 | |
| 8 | 2015 | 117 | |
| 9 | 2014 | 43 | |
| 10 | 2012 | 158 | |
| 11 | 2011 | 5 | |
| 12 | 2009 | 19 | |
| 13 | 2009 | 6 | |
| 14 | Identification of Flt3+ Lympho-Myeloid Stem Cells Lacking Erythro-Megakaryocytic Potentialbreakdown → | 2005 | 884 |
| 15 | 2002 | 208 | |
| 16 | Upregulation of Flt3 Expression within the Bone Marrow Lin−Sca1+c-kit+ Stem Cell Compartment Is Accompanied by Loss of Self-Renewal Capacitybreakdown → | 2001 | 514 |
| 17 | 1999 | 36 | |
| 18 | 1996 | 2 | |
| 19 | 1993 | 2 | |
| 20 | 1993 | 5 |
About Ewa Sitnicka
Ewa Sitnicka is a scholar working on Hematology, Immunology, Genetics, Emergency Medicine and Oncology, having authored 53 papers that have together received 3.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (25 papers), Hematopoietic Stem Cell Transplantation (23 papers), T-cell and B-cell Immunology (20 papers), Acute Myeloid Leukemia Research (13 papers), Acute Lymphoblastic Leukemia research (5 papers), Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (4 papers) and Platelet Disorders and Treatments (4 papers). The work is most often cited by research in Hematology (2.0k citations), Immunology (2.1k citations), Genetics (555 citations), Oncology (572 citations) and Molecular Biology (1.3k citations). Ewa Sitnicka has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Sten Eirik W. Jacobsen, David Bryder, Jörgen Adolfsson, Natalija Buza-Vidas, Yutaka Sasaki, Kim Theilgaard‐Mönch, NS Wolf, Mikael Sigvardsson, Karina Liuba and Christina T. Jensen. Their work appears in journals such as Blood, Immunity, The Journal of Immunology, Stem Cells and The Journal of Experimental Medicine.
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.