Witold B. Rybka

2.9k citations
81 papers · 1.7k · h-index 21

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 37
    • Acute Myeloid Leukemia Research 13
    • Neutropenia and Cancer Infections 8

Witold B. Rybka

77 papers receiving 1.7k citations

Peers

Witold B. Rybka
Comparison fields: 5 of 79
  • Transplantation 180
  • Hematology 597
  • Immunology 724
  • Oncology 616
  • Genetics 151
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Citations per year

Countries citing papers authored by Witold B. Rybka

Since Specialization
Citations

This map shows the geographic impact of Witold B. 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 Witold B. Rybka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Witold B. Rybka more than expected).

Fields of papers citing papers by Witold B. Rybka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Witold B. 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 Witold B. Rybka. The network helps show where Witold B. Rybka may publish in the future.

Co-authors

The 25 scholars most cited alongside Witold B. 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 Witold B. Rybka Line = papers co-authored together Witold B. Rybka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994262
2 2016234
3 2018142
4 2015114
5 200762
6
Autologous peripheral blood stem cell transplantation and adoptive immunotherapy with activated natural killer cells in the immediate posttransplant period.
199560
7 200058
8 201753
9 201950
10
A comparison of clinical criteria for the diagnosis of veno-occlusive disease of the liver after bone marrow transplantation.
199242
11 199539
12 198538
13 199535
14
Augmentation of chimerism in whole organ recipients by simultaneous infusion of donor bone marrow cells.
199534
15 202125
16 198525
17 200524
18 199524
19 199723
20 199521

About Witold B. Rybka

Witold B. Rybka is a scholar working on Hematology, Oncology, Surgery, Immunology and Genetics, having authored 81 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (37 papers), Acute Myeloid Leukemia Research (13 papers), Renal Transplantation Outcomes and Treatments (10 papers), Acute Lymphoblastic Leukemia research (10 papers), Immune Cell Function and Interaction (10 papers), Neutropenia and Cancer Infections (8 papers), Pancreatic function and diabetes (7 papers) and Xenotransplantation and immune response (6 papers). The work is most often cited by research in Transplantation (180 citations), Hematology (597 citations), Immunology (724 citations), Oncology (616 citations) and Genetics (151 citations). Witold B. Rybka has collaborated with scholars based in United States, Canada and China. Frequent co-authors include David F. Claxton, W. Christopher Ehmann, Hong Zheng, Todd D. Schell, Hui Zeng, Yaxian Kong, Liuluan Zhu, Edward D. Ball, Paulo Fontes and Massimo Trucco. Their work appears in journals such as Blood, Transplantation, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation 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.

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