D. Roelcke

3.0k citations
136 papers · 2.2k indexed · h-index 24

Impact in

  • Hematology top 0.5%
    • Blood groups and transfusion
  • Immunology top 5%
    • Complement system in diseases
    • Immunodeficiency and Autoimmune Disorders
    • T-cell and B-cell Immunology

Papers in

    • Blood groups and transfusion 84
    • Erythrocyte Function and Pathophysiology 63

D. Roelcke

132 papers receiving 1.9k citations

Peers

D. Roelcke
Comparison fields: 5 of 84
  • Hematology 1.1k
  • Immunology 722
  • Physiology 758
  • Radiology, Nuclear Medicine and Imaging 449
  • Microbiology 115
Replace Carolyn M. Giles with:
Carolyn M. Giles United Kingdom
W. L. Marsh United States
D J Anstee United Kingdom
P. D. Issitt United States
P. Bailly France
S. Thierfelder Germany
C Salmon France
R Ceppellini Italy
Masayoshi Oh‐eda United States
Nicholas L. Kovach United States
D. Roelcke relative to Carolyn M. Giles United Kingdom Carolyn M. Giles's profile →
Citations per field
00.5×
Carolyn M. Giles · 1×
Citations per year

Countries citing papers authored by D. Roelcke

Since Specialization
Citations

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

Fields of papers citing papers by D. Roelcke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20047
2 199419
3 199311
4 199212
5 19926
6 19902
7 19909
8 19893
9 19881
10 19843
11 19823
12 19811
13 19802
14 19794
15 197317
16 19718
17 19712
18
[Studies on the serologic specificity of neuraminic acid containing receptors on human erythrocytes].
19711
19 19685
20 19681

About D. Roelcke

D. Roelcke is a scholar working on Hematology, Physiology, Immunology, Transplantation and Microbiology, having authored 136 papers that have together received 2.2k indexed citations. Recurring topics across this work include Blood groups and transfusion (84 papers), Erythrocyte Function and Pathophysiology (63 papers), Glycosylation and Glycoproteins Research (35 papers), Monoclonal and Polyclonal Antibodies Research (25 papers), Diabetes and associated disorders (21 papers), Microbial infections and disease research (9 papers), Immunodeficiency and Autoimmune Disorders (9 papers) and Hepatitis B Virus Studies (8 papers). The work is most often cited by research in Hematology (1.1k citations), Immunology (722 citations), Physiology (758 citations), Radiology, Nuclear Medicine and Imaging (449 citations) and Microbiology (115 citations). D. Roelcke has collaborated with scholars based in Germany, Croatia and United States. Frequent co-authors include W. Ébert, G.M. Hänsch, Ten Feizi, H. P. Geisen, M L Shin, S.L. Loke, E. W. Rauterberg, W. Pruzanski, Michael Kirschfink and H. Weicker. Their work appears in journals such as Vox Sanguinis, Annals of Hematology, Blood, Transfusion and Journal of Molecular Medicine.

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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