Rosemarie Dalchau

1.8k citations
26 papers · 1.6k indexed · h-index 17
Topics
Monoclonal and Polyclonal Antibodies Research (14 papers)Glycosylation and Glycoproteins Research (10 papers)T-cell and B-cell Immunology (10 papers)

In The Last Decade

Rosemarie Dalchau

26 papers receiving 1.4k citations

Peers

Rosemarie Dalchau
Comparison fields: 5 of 81
  • Immunology 745
  • Molecular Biology 673
  • Radiology, Nuclear Medicine and Imaging 450
  • Cell Biology 229
  • Immunology and Allergy 226
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Countries citing papers authored by Rosemarie Dalchau

Since Specialization
Citations

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

Fields of papers citing papers by Rosemarie Dalchau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosemarie Dalchau

This figure shows the co-authorship network connecting the top 25 collaborators of Rosemarie Dalchau. A scholar is included among the top collaborators of Rosemarie Dalchau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rosemarie Dalchau. Rosemarie Dalchau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 16
3 2
4 52
5 32
6
Rejection of skin allografts by indirect allorecognition of donor class I major histocompatibility complex peptides.
8
7 182
8 61
9 53
10 38
11 3
12
A detailed analysis of the potential of water soluble classical class I MHC molecules for donor-specific immunosuppression in transplantation.
1
13 40
14
The Ina and Inb blood group antigens are located on a glycoprotein of 80,000 MW (the CDw44 glycoprotein) whose expression is influenced by the In(Lu) gene.
100
15 77
16 38
17 127
18 206
19 159
20 133

About Rosemarie Dalchau

Rosemarie Dalchau is a scholar working on Transplantation, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Glycosylation and Glycoproteins Research (10 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Transplantation (120 citations), Immunology and Allergy (226 citations) and Immunology (745 citations). Rosemarie Dalchau has collaborated with scholars based in United Kingdom, India and Mexico. Frequent co-authors include John W. Fabre, Jean Kirkley, J. Fangmann, Greta J. Sawyer, Brian Flanagan, Anthony K. Allen, A. S. Daar, Mohamed Parkar, Peter N. Goodfellow and Michael V. Wiles. Their work appears in journals such as The Journal of Experimental Medicine, Biochemical and Biophysical Research Communications and Journal of Neurochemistry.

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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