W. Bautsch

606 citations
26 papers · 489 · h-index 12

Impact in

Papers in

    • Receptor Mechanisms and Signaling 8
    • Genomics and Phylogenetic Studies 4
    • Bacterial biofilms and quorum sensing 2
    • Lipid Membrane Structure and Behavior 2
    • Complement system in diseases 8

W. Bautsch

26 papers receiving 475 citations

Peers

W. Bautsch
Comparison fields: 5 of 76
  • Microbiology 55
  • Immunology 166
  • Molecular Medicine 38
  • Infectious Diseases 87
  • Physiology 17
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Stefan Dreher Germany
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Marie‐Hélène Ruchaud‐Sparagano United Kingdom
Yosuke Omae Japan
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Citations per field
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Citations per year

Countries citing papers authored by W. Bautsch

Since Specialization
Citations

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

Fields of papers citing papers by W. Bautsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside W. Bautsch, 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. Bautsch Line = papers co-authored together W. Bautsch 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 198994
2 199674
3 201148
4 199645
5 199434
6 199629
7 199528
8
Human anaphylatoxin C4a is a potent agonist of the guinea pig but not the human C3a receptor.
199820
9 199517
10 199415
11 199211
12 198911
13 199510
14 19949
15 19929
16 19938
17 19937
18
A novel computational method for predicting the transmembrane structure of G-protein coupled receptors: application to human C5aR and C3aR.
20007
19 20035
20 19972

About W. Bautsch

W. Bautsch is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 26 papers that have together received 489 indexed citations. Recurring topics across this work include Complement system in diseases (8 papers), Receptor Mechanisms and Signaling (8 papers), Genomics and Phylogenetic Studies (4 papers), Neuropeptides and Animal Physiology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Bacterial biofilms and quorum sensing (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Microbiology (55 citations), Immunology (166 citations), Molecular Medicine (38 citations), Infectious Diseases (87 citations) and Physiology (17 citations). W. Bautsch has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Jörg Köhl, Andreas Klos, Burkhard Tümmler, Ute Römling, Dietmar Grothues, Axel Kola, Dietmar H. Pieper, Michael Burg, Tobias Welte and Tobias Wagner. Their work appears in journals such as FEBS Letters, The Journal of Immunology, Infection, Journal of Bacteriology and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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