W Rybka
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Transplantation top 10%
Papers in
-
- Hematopoietic Stem Cell Transplantation 8
- Multiple Myeloma Research and Treatments 3
- Platelet Disorders and Treatments 2
- Oncology 6
- Polyomavirus and related diseases 2
- Co-authors
- M Banaji (2 shared papers)C Anasetti (2 shared papers)KM Sullivan (2 shared papers)Alan Winkelstein (2 shared papers)John Lister (4 shared papers)ED Ball (2 shared papers)SJ Slichter (1 shared paper)Peter D’Andrea (1 shared paper)
- Journals
- Blood (3 papers)Bone Marrow Transplantation (3 papers)Transfusion (1 paper)Journal of Immunotherapy (1 paper)Stem Cells (1 paper)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
W Rybka
14 papers receiving 506 citations
Peers
Comparison fields: 5 of 44
- Hematology 305
- Transplantation 35
- Oncology 152
- Genetics 56
- Immunology 86
Countries citing papers authored by W Rybka
This map shows the geographic impact of W Rybka'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 W Rybka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W Rybka more than expected).
Fields of papers citing papers by W Rybka
This network shows the impact of papers produced by W Rybka. 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 W Rybka. The network helps show where W Rybka may publish in the future.
Co-authors
The 25 scholars most cited alongside W Rybka, 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 | 1997 | 110 | |
| 2 | 1996 | 110 | |
| 3 | 1989 | 86 | |
| 4 | 1989 | 84 | |
| 5 | Augmentation with bone marrow of donor leukocyte migration for kidney, liver, heart, and pancreas islet transplantation | 1994 | 45 |
| 6 | 1993 | 29 | |
| 7 | 1994 | 25 | |
| 8 | 1998 | 10 | |
| 9 | 1995 | 9 | |
| 10 | 1997 | 8 | |
| 11 | 1996 | 5 | |
| 12 | Human bone marrow obtained from vertebral bodies: cell isolation, phenotyping, progenitor assay, and transplantation. | 1994 | 3 |
| 13 | 2003 | 2 | |
| 14 | 2011 | 1 | |
| 15 | 1986 | 0 |
About W Rybka
W Rybka is a scholar working on Hematology, Oncology, Surgery, Genetics and Transplantation, having authored 15 papers that have together received 527 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Multiple Myeloma Research and Treatments (3 papers), Mesenchymal stem cell research (3 papers), Bone and Joint Diseases (2 papers), Polyomavirus and related diseases (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Transplantation: Methods and Outcomes (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Hematology (305 citations), Transplantation (35 citations), Oncology (152 citations), Genetics (56 citations) and Immunology (86 citations). W Rybka has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include M Banaji, C Anasetti, KM Sullivan, Alan Winkelstein, John Lister, ED Ball, SJ Slichter, Peter D’Andrea, Philip E. Pellett and Stewart Ja. Their work appears in journals such as Blood, Bone Marrow Transplantation, Transfusion, Journal of Immunotherapy and Stem Cells.
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.