Peter Brünker
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Immunology top 5%
- Galectins and Cancer Biology
- T-cell and B-cell Immunology
Papers in
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- Glycosylation and Glycoproteins Research 7
-
- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Pablo Umaña (9 shared papers)Claudia Ferrara (4 shared papers)Peter Sondermann (3 shared papers)Fiona Stuart (1 shared paper)Jörg Benz (2 shared papers)Michael Hennig (1 shared paper)Sandra Grau (1 shared paper)A. Ruf (1 shared paper)
- Journals
- Gene (3 papers)Cancer Research (2 papers)Microbiology (1 paper)Blood (1 paper)Biotechnology and Bioengineering (1 paper)
- Partner nations
- SwitzerlandGermanySweden
In The Last Decade
Peter Brünker
18 papers receiving 1.5k citations
Peter Brünker's Hit Papers
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 970
- Immunology 575
- Molecular Biology 1.2k
- Biotechnology 141
- Genetics 78
Countries citing papers authored by Peter Brünker
This map shows the geographic impact of Peter Brünker'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 Peter Brünker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Brünker more than expected).
Fields of papers citing papers by Peter Brünker
This network shows the impact of papers produced by Peter Brünker. 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 Peter Brünker. The network helps show where Peter Brünker may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Brünker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Unique carbohydrate–carbohydrate interactions are required for high affinity binding between FcγRIII and antibodies lacking core fucose Hit paper breakdown → | 2011 | 626 |
| 2 | 2005 | 307 | |
| 3 | 2006 | 254 | |
| 4 | 2005 | 75 | |
| 5 | 1998 | 63 | |
| 6 | 1998 | 55 | |
| 7 | 1997 | 51 | |
| 8 | 1998 | 30 | |
| 9 | 1996 | 25 | |
| 10 | 1999 | 23 | |
| 11 | 2009 | 21 | |
| 12 | 2001 | 17 | |
| 13 | 2019 | 9 | |
| 14 | 1998 | 8 | |
| 15 | 2005 | 4 | |
| 16 | 2009 | 2 | |
| 17 | 2004 | 1 | |
| 18 | 1996 | 1 | |
| 19 | 2024 | 0 |
About Peter Brünker
Peter Brünker is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Immunology and Ecology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (7 papers), Bacterial Genetics and Biotechnology (5 papers), Galectins and Cancer Biology (4 papers), Bacteriophages and microbial interactions (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Enzyme Structure and Function (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (970 citations), Immunology (575 citations), Molecular Biology (1.2k citations), Biotechnology (141 citations) and Genetics (78 citations). Peter Brünker has collaborated with scholars based in Switzerland, Germany and Sweden. Frequent co-authors include Pablo Umaña, Claudia Ferrara, Peter Sondermann, Fiona Stuart, Jörg Benz, Michael Hennig, Sandra Grau, A. Ruf, Arne C. Rufer and M. Stihle. Their work appears in journals such as Gene, Cancer Research, Microbiology, Blood and Biotechnology and Bioengineering.
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.