J. W. Bruning

521 citations
26 papers · 453 · h-index 12

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • T-cell and B-cell Immunology 9
    • Immunotherapy and Immune Responses 6
    • Immune Cell Function and Interaction 3
    • Immune Response and Inflammation 3
    • Glycosylation and Glycoproteins Research 2

J. W. Bruning

23 papers receiving 406 citations

Peers

J. W. Bruning
Comparison fields: 5 of 91
  • Immunology 216
  • Transplantation 20
  • Hematology 47
  • Radiology, Nuclear Medicine and Imaging 73
  • Paleontology 23
Replace Rengasamy Asokan with:
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Citations per field
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Citations per year

Countries citing papers authored by J. W. Bruning

Since Specialization
Citations

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

Fields of papers citing papers by J. W. Bruning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980108
2 198247
3 197445
4 197738
5 198434
6 199429
7 197226
8 196620
9
Studies on the distribution of some histocompatibility antigens in mouse liver plasma membrane and microsomal fractions.
197016
10 198415
11 199315
12 198111
13 196411
14 197510
15 19609
16 19774
17 19753
18 19783
19 19802
20 19812

About J. W. Bruning

J. W. Bruning is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 453 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Cell Function and Interaction (3 papers), Immune Response and Inflammation (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cell Adhesion Molecules Research (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Immunology (216 citations), Transplantation (20 citations), Hematology (47 citations), Radiology, Nuclear Medicine and Imaging (73 citations) and Paleontology (23 citations). J. W. Bruning has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include René Arentzen, J. J. van Rood, Marrie J. Kardol, Peter Westbroek, Elisabeth W. de Vrind‐de Jong, F.H.J. Claas, A. van Leeuwen, Albert Naipal, William Evans and Q. Lansbergen. Their work appears in journals such as Journal of Immunological Methods, Human Immunology, Transplantation, European Journal of Immunology and Langenbeck s Archives of Surgery.

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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