A. Ruf
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- Monoclonal and Polyclonal Antibodies Research 4
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 6
- Peroxisome Proliferator-Activated Receptors 4
- Protein Structure and Dynamics 3
- Nuclear Structure and Function 3
- Immunology top 5%
- Structural Biology top 5%
- Oncology top 5%
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- Enzyme Structure and Function 5
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- Computational Drug Discovery Methods 4
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- Adipose Tissue and Metabolism 4
- Co-authors
- M. StihleMichael HennigJörg BenzGeorg E. SchulzRalf ThomaArne C. RuferWalter HuberGilbert de Murcia
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)Journal of Molecular Biology (4 papers)Acta Crystallographica Section D Structural Biology (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
A. Ruf
36 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Radiology, Nuclear Medicine and Imaging 841
- Molecular Biology 2.2k
- Immunology 532
- Structural Biology 35
- Oncology 597
Countries citing papers authored by A. Ruf
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 5 | |
| 2 | 2016 | 4 | |
| 3 | A general protocol for the generation of Nanobodies for structural biologybreakdown → | 2014 | 554 |
| 4 | 2012 | 37 | |
| 5 | 2012 | 11 | |
| 6 | 2012 | 1 | |
| 7 | Unique carbohydrate–carbohydrate interactions are required for high affinity binding between FcγRIII and antibodies lacking core fucosebreakdown → | 2011 | 594 |
| 8 | 2011 | 36 | |
| 9 | 2011 | 14 | |
| 10 | 2010 | 48 | |
| 11 | 2010 | 41 | |
| 12 | 2009 | 99 | |
| 13 | 2009 | 25 | |
| 14 | 2009 | 25 | |
| 15 | 2008 | 30 | |
| 16 | 2008 | 30 | |
| 17 | 2008 | 43 | |
| 18 | 2003 | 192 | |
| 19 | 2002 | 49 | |
| 20 | 1998 | 147 |
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.