W. Kayser

435 citations
11 papers · 342 · h-index 9

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Blood disorders and treatments
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Platelet Disorders and Treatments 9
    • Blood groups and transfusion 8
    • Complement system in diseases 3
    • Immunodeficiency and Autoimmune Disorders 2

W. Kayser

10 papers receiving 308 citations

Peers

W. Kayser
Comparison fields: 5 of 38
  • Hematology 312
  • Genetics 48
  • Nephrology 31
  • Immunology 92
  • Pathology and Forensic Medicine 51
Replace Ann Gaines with:
Ann Gaines United States
M. S. Enayat United Kingdom
Michelle Long Schoettler United States
Janice M. McConville United States
Jedidiah J. Perdue United States
L.A. Baxter-Lowe United States
G Barbano Italy
Lutz Hempel Germany
M. Khellaf France
Cathy Sparling Canada
W. Kayser relative to Ann Gaines United States Ann Gaines's profile →
Citations per field
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Ann Gaines · 1×
Citations per year

Countries citing papers authored by W. Kayser

Since Specialization
Citations

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

Fields of papers citing papers by W. Kayser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside W. Kayser, 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. Kayser Line = papers co-authored together W. Kayser links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1980144
2 198254
3 198330
4 198330
5 198027
6 198114
7 198314
8 198112
9 198212
10 19835
11 20080

About W. Kayser

W. Kayser is a scholar working on Hematology, Immunology, Nephrology, Genetics and Organic Chemistry, having authored 11 papers that have together received 342 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (9 papers), Blood groups and transfusion (8 papers), Complement system in diseases (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Renal Diseases and Glomerulopathies (2 papers), Blood disorders and treatments (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Hematology (312 citations), Genetics (48 citations), Nephrology (31 citations), Immunology (92 citations) and Pathology and Forensic Medicine (51 citations). W. Kayser has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include C. Mueller‐Eckhardt, Sucharit Bhakdi, C Mueller-Eckhardt, G. Mueller‐Eckhardt, M. Graubner, E. Küenzlen, A. Salama, Ulrich Budde, Reinhold Schmidt and H Frisch. Their work appears in journals such as British Journal of Haematology, Journal of Immunological Methods, American Journal of Hematology, Vox Sanguinis and DMW - Deutsche Medizinische Wochenschrift.

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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