Walter Sibrowski

2.2k citations
109 papers · 1.5k · h-index 23

Impact in

Papers in

    • Blood groups and transfusion 23
    • Hematopoietic Stem Cell Transplantation 11
    • Platelet Disorders and Treatments 10
    • Immunodeficiency and Autoimmune Disorders 7
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 7

Walter Sibrowski

96 papers receiving 1.5k citations

Peers

Walter Sibrowski
Comparison fields: 5 of 110
  • Biological Psychiatry 102
  • Biochemistry 147
  • Hematology 253
  • Behavioral Neuroscience 76
  • Transplantation 32
Replace Fabienne Andris with:
Fabienne Andris Belgium
Marilyn L. Thoman United States
Nathalie Auphan‐Anezin France
Peter Swetly Austria
D. Ross Boswell New Zealand
Zacharie Brahmi United States
Magnus Hansson Sweden
H. Dietrich Austria
Matteo Bulati Italy
Stephen W. Rothwell United States
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Citations per field
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Fabienne Andris · 1×
Citations per year

Countries citing papers authored by Walter Sibrowski

Since Specialization
Citations

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

Fields of papers citing papers by Walter Sibrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter Sibrowski. 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 Walter Sibrowski. The network helps show where Walter Sibrowski may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009158
2 2005146
3 200292
4 201080
5 198476
6 201549
7 200542
8 200333
9 200333
10 201632
11 198130
12 198229
13 201528
14 200927
15 201825
16 200925
17 201225
18 200424
19 200224
20 200123

About Walter Sibrowski

Walter Sibrowski is a scholar working on Hematology, Immunology, Biochemistry, Molecular Biology and Genetics, having authored 109 papers that have together received 1.5k indexed citations. Recurring topics across this work include Blood groups and transfusion (23 papers), Blood transfusion and management (18 papers), Hematopoietic Stem Cell Transplantation (11 papers), Platelet Disorders and Treatments (10 papers), Blood donation and transfusion practices (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Biological Psychiatry (102 citations), Biochemistry (147 citations), Hematology (253 citations), Behavioral Neuroscience (76 citations) and Transplantation (32 citations). Walter Sibrowski has collaborated with scholars based in Germany, United States and France. Frequent co-authors include U. Cassens, Peter Schlenke, H.J. Seitz, Reinhard Kelsch, Burkhard Greve, Manfred J. Müller, Hans Seitz, Ludwig Kiesel, Martin Götte and W. Göhde. Their work appears in journals such as Transfusion, Vox Sanguinis, Transfusion Medicine, Bone Marrow Transplantation and Transfusion Medicine and Hemotherapy.

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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