Beat Wipf

1.3k citations
19 papers · 1.0k indexed · h-index 14
    • Advanced Proteomics Techniques and Applications 2
    • Glycosylation and Glycoproteins Research 3
    • Chemical Synthesis and Analysis 2
    • Protein Structure and Dynamics 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Genomics and Phylogenetic Studies 2
    • Microbial Metabolic Engineering and Bioproduction 2
  • Physiology top 10%
    • Alzheimer's disease research and treatments 2

Beat Wipf

19 papers receiving 988 citations

Peers

Beat Wipf
Comparison fields: 5 of 95
  • Spectroscopy 185
  • Molecular Biology 681
  • Molecular Medicine 46
  • Physiology 235
  • Immunology 130
Replace Michael D. Scholle with:
Michael D. Scholle United States
Cornelia Schroeder Germany
Kathleen S. Molnar United States
Hartmut Echner Germany
Patrick Vlieghe France
Bao‐Shiang Lee United States
Wei Mi China
Koki Makabe Japan
F. J. Kezdy United States
Yoshiro Ohtani Japan
Beat Wipf relative to Michael D. Scholle United States Michael D. Scholle's profile →
Citations per field
00.5×6.0×
Michael D. Scholle · 1×
Citations per year

Countries citing papers authored by Beat Wipf

Since Specialization
Citations

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

Fields of papers citing papers by Beat Wipf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20116
2 200527
3 2001199
4 20017
5 2000118
6 20008
7 20007
8 199816
9 199816
10 1997130
11 1997140
12 199645
13 199551
14 19943
15 198969
16 198718
17 1983133
18 198328
19 197716

About Beat Wipf

Beat Wipf is a scholar working on Molecular Biology, Molecular Medicine and Spectroscopy, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Chemical Synthesis and Analysis (2 papers), Protein Structure and Dynamics (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Alzheimer's disease research and treatments (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Genomics and Phylogenetic Studies (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Spectroscopy (185 citations), Molecular Biology (681 citations) and Molecular Medicine (46 citations). Beat Wipf has collaborated with scholars based in Switzerland, United States and Sweden. Frequent co-authors include Heinz Döbeli, Hans Georg W. Leuenberger, Peter Güntert, Roland Riek, Kurt Wüthrich, Alexander M. Labhardt, Ernst Kupfer, Hans Senn, Bernard Gsell and Werner Klaus. Their work appears in journals such as Electrophoresis, Helvetica Chimica Acta, Journal of Molecular Biology, Journal of Biomolecular NMR and European Journal of Biochemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026