Jerzy Z. Błoński
- Genetics top 1%
- Pathology and Forensic Medicine top 2%
- Immunology top 10%
- Oncology top 10%
- Molecular Biology
- Co-authors
- Tadeusz RobakJoanna Góra‐TyborMarek KasznickiJacek BartkowiakPiotr SmolewskiAnna DmoszyńskaL KonopkaJadwiga Dwilewicz‐Trojaczek
- Topics
- Chronic Lymphocytic Leukemia Research (59 papers)Lymphoma Diagnosis and Treatment (32 papers)Immunodeficiency and Autoimmune Disorders (18 papers)
- Partner nations
- PolandUnited StatesSpain
In The Last Decade
Jerzy Z. Błoński
73 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 71
- Genetics 797
- Pathology and Forensic Medicine 642
- Immunology 403
- Oncology 291
- Molecular Biology 224
Countries citing papers authored by Jerzy Z. Błoński
This map shows the geographic impact of Jerzy Z. Błoński'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 Jerzy Z. Błoński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerzy Z. Błoński more than expected).
Fields of papers citing papers by Jerzy Z. Błoński
This network shows the impact of papers produced by Jerzy Z. Błoński. 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 Jerzy Z. Błoński. The network helps show where Jerzy Z. Błoński may publish in the future.
Co-authorship network of co-authors of Jerzy Z. Błoński
This figure shows the co-authorship network connecting the top 25 collaborators of Jerzy Z. Błoński. A scholar is included among the top collaborators of Jerzy Z. Błoński based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jerzy Z. Błoński. Jerzy Z. Błoński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | Ofatumumab (O) in combination with fludarabine (F) and cyclophosphamide (C) (OFC) vs. FC in patients with relapsed chronic lymphocytic leukaemia (CLL): results of the phase III study complement 2 | 3 |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | GIST – risk of recurrence and dissemination | 2 |
| 9 | 22 | |
| 10 | 40 | |
| 11 | 7 | |
| 12 | 38 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 38 | |
| 16 | 14 | |
| 17 | Immunohistochemical analysis of expression of a 65 kDa oncofetal protein (p65), epidermal growth factor receptor (EGFR), oncogene c-erb B2 and tumor suppressor gene p53 protein products in breast cancer patients. | 1 |
| 18 | 20 | |
| 19 | Immunospecific protein with mol.WT of 38-39 kDa from lymphocytic leukemic cells | 0 |
| 20 | 32 |
About Jerzy Z. Błoński
Jerzy Z. Błoński is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (59 papers), Lymphoma Diagnosis and Treatment (32 papers) and Immunodeficiency and Autoimmune Disorders (18 papers). The work is most often cited by research in Genetics (797 citations), Pathology and Forensic Medicine (642 citations) and Immunology (403 citations). Jerzy Z. Błoński has collaborated with scholars based in Poland, United States and Spain. Frequent co-authors include Tadeusz Robak, Joanna Góra‐Tybor, Marek Kasznicki, Jacek Bartkowiak, Piotr Smolewski, Anna Dmoszyńska, L Konopka, Jadwiga Dwilewicz‐Trojaczek, Zofia M. Kiliańska and Anna Korycka. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer.
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.