W Rybka

617 citations
14 papers · 489 · h-index 9

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Platelet Disorders and Treatments
    • Acute Myeloid Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 8
    • Multiple Myeloma Research and Treatments 3
    • Platelet Disorders and Treatments 2
    • Polyomavirus and related diseases 2

W Rybka

13 papers receiving 475 citations

Peers

W Rybka
Comparison fields: 5 of 43
  • Hematology 318
  • Transplantation 37
  • Oncology 158
  • Genetics 53
  • Immunology 93
Replace LA Baxter-Lowe with:
LA Baxter-Lowe United States
Karl G. Blume United States
R Brown United States
K. W. Chan United States
S. G. Long United Kingdom
Kun Soo Lee South Korea
Sinem Civriz Bozdağ Türkiye
Hakan Koç Türkiye
Emma Watz Sweden
Ozay Halil United Kingdom
W Rybka relative to LA Baxter-Lowe United States LA Baxter-Lowe's profile →
Citations per field
00.5×2.7×
LA Baxter-Lowe · 1×
Citations per year

Countries citing papers authored by W Rybka

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with W Rybka Line = papers co-authored together W Rybka links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1996104
2 1997103
3 198982
4 198979
5
Augmentation with bone marrow of donor leukocyte migration for kidney, liver, heart, and pancreas islet transplantation
199442
6 199326
7 199425
8 19989
9 19978
10 19965
11
Human bone marrow obtained from vertebral bodies: cell isolation, phenotyping, progenitor assay, and transplantation.
19943
12 20032
13 20111
14 19860

About W Rybka

W Rybka is a scholar working on Hematology, Oncology, Surgery, Genetics and Transplantation, having authored 14 papers that have together received 489 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 (2 papers), Polyomavirus and related diseases (2 papers), Platelet Disorders and Treatments (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Pancreatic function and diabetes (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (318 citations), Transplantation (37 citations), Oncology (158 citations), Genetics (53 citations) and Immunology (93 citations). W Rybka has collaborated with scholars based in United States and Canada. Frequent co-authors include M Banaji, C Anasetti, KM Sullivan, Alan Winkelstein, John Lister, SJ Slichter, ED Ball, Peter D’Andrea, M. El-Sawy and Stewart Ja. Their work appears in journals such as Bone Marrow Transplantation, Blood, Stem Cells, Journal of Clinical Oncology and Transfusion.

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.

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