A. Ruf

4.0k citations
36 papers · 3.1k indexed · 2 hit papers · h-index 26

A. Ruf

36 papers receiving 3.1k citations

Hit Papers

A general protocol for the generation of Nanobodies for s...5542011202620162021100200300400500

Peers

A. Ruf
Comparison fields: 5 of 118
  • Radiology, Nuclear Medicine and Imaging 841
  • Molecular Biology 2.2k
  • Immunology 532
  • Structural Biology 35
  • Oncology 597
Replace Michael Hennig with:
Michael Hennig Switzerland
Tatsuro Shimamura Japan
Trevor J. Rutherford United Kingdom
Brent R. Martin United States
Giovanna Scapin United States
F. Niesen United Kingdom
Dmitry B. Veprintsev United Kingdom
Milton T. Stubbs Germany
Torleif Härd Sweden
Luciana Marinelli Italy
A. Ruf relative to Michael Hennig Switzerland Michael Hennig's profile →
Citations per field
00.5×1.5×2.5×
Michael Hennig · 1×
Citations per year

Countries citing papers authored by A. Ruf

Since Specialization
Citations

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

Fields of papers citing papers by A. Ruf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20185
2 20164
3
A general protocol for the generation of Nanobodies for structural biologybreakdown →
2014554
4 201237
5 201211
6 20121
7
Unique carbohydrate–carbohydrate interactions are required for high affinity binding between FcγRIII and antibodies lacking core fucosebreakdown →
2011594
8 201136
9 201114
10 201048
11 201041
12 200999
13 200925
14 200925
15 200830
16 200830
17 200843
18 2003192
19 200249
20 1998147

About A. Ruf

A. Ruf is a scholar working on Biochemistry, Molecular Biology and Computational Theory and Mathematics, having authored 36 papers that have together received 3.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Enzyme Structure and Function (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Computational Drug Discovery Methods (4 papers), Adipose Tissue and Metabolism (4 papers), Protein Structure and Dynamics (3 papers) and Nuclear Structure and Function (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (841 citations), Molecular Biology (2.2k citations) and Immunology (532 citations). A. Ruf has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include M. Stihle, Michael Hennig, Jörg Benz, Georg E. Schulz, Ralf Thoma, Arne C. Rufer, Walter Huber, Gilbert de Murcia, Toon Laeremans and Jan Steyaert. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Molecular Biology, Acta Crystallographica Section D Structural Biology, ChemMedChem and CHIMIA International Journal for Chemistry.

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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