Claudia Ferrara
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- Monoclonal and Polyclonal Antibodies Research 15
- Immunology top 5%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 7
- Muscle Physiology and Disorders 5
- Protein purification and stability 4
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 4
- Biotechnology top 5%
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- Cardiomyopathy and Myosin Studies 6
- Cardiovascular Effects of Exercise 5
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- Peptidase Inhibition and Analysis 4
- Co-authors
- Pablo UmañaPeter BrünkerPeter SondermannChristian KleinFiona StuartMichael HennigJörg BenzChristiane Jäger
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Blood (3 papers)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Claudia Ferrara
31 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Radiology, Nuclear Medicine and Imaging 1.2k
- Immunology 882
- Molecular Biology 1.4k
- Genetics 171
- Biotechnology 125
Countries citing papers authored by Claudia Ferrara
This map shows the geographic impact of Claudia Ferrara'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 Claudia Ferrara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Ferrara more than expected).
Fields of papers citing papers by Claudia Ferrara
This network shows the impact of papers produced by Claudia Ferrara. 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 Claudia Ferrara. The network helps show where Claudia Ferrara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudia Ferrara, 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 | 2025 | 0 | |
| 2 | 2023 | 70 | |
| 3 | 2022 | 6 | |
| 4 | 2020 | 38 | |
| 5 | 2020 | 3 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 1 | |
| 9 | 2016 | 230 | |
| 10 | 2016 | 12 | |
| 11 | 2013 | 5 | |
| 12 | 2013 | 76 | |
| 13 | 2013 | 47 | |
| 14 | 2012 | 1 | |
| 15 | Unique carbohydrate–carbohydrate interactions are required for high affinity binding between FcγRIII and antibodies lacking core fucosebreakdown → | 2011 | 594 |
| 16 | 2011 | 9 | |
| 17 | 2008 | 13 | |
| 18 | 2006 | 230 | |
| 19 | 2005 | 281 | |
| 20 | 2002 | 2 |
About Claudia Ferrara
Claudia Ferrara is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Immunology, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Glycosylation and Glycoproteins Research (7 papers), Cardiomyopathy and Myosin Studies (6 papers), Muscle Physiology and Disorders (5 papers), Cardiovascular Effects of Exercise (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Protein purification and stability (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Immunology (882 citations) and Molecular Biology (1.4k citations). Claudia Ferrara has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Pablo Umaña, Peter Brünker, Peter Sondermann, Christian Klein, Fiona Stuart, Michael Hennig, Jörg Benz, Christiane Jäger, Arne C. Rufer and Sandra Grau. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.
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.