Philippe Stas
Impact in
- Immunology top 10%
- Biosimilars and Bioanalytical Methods
- Immunotoxicology and immune responses
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Biosimilars and Bioanalytical Methods 6
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Ignace Lasters (5 shared papers)Dirk Faes (1 shared paper)Yannick Gansemans (3 shared papers)Paul W.H.I. Parren (2 shared papers)Ivo Van Walle (1 shared paper)Daniel Weinbuch (1 shared paper)Wim Jiskoot (1 shared paper)Vera Brinks (1 shared paper)
- Journals
- Expert Opinion on Biological Therapy (1 paper)Frontiers in Immunology (1 paper)Pharmaceutical Research (1 paper)Biologicals (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- NetherlandsBelgiumGermany
In The Last Decade
Philippe Stas
7 papers receiving 295 citations
Peers
Comparison fields: 5 of 45
- Immunology 157
- Radiology, Nuclear Medicine and Imaging 86
- Toxicology 10
- Molecular Biology 69
- Cardiology and Cardiovascular Medicine 26
Countries citing papers authored by Philippe Stas
This map shows the geographic impact of Philippe Stas'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 Philippe Stas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Stas more than expected).
Fields of papers citing papers by Philippe Stas
This network shows the impact of papers produced by Philippe Stas. 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 Philippe Stas. The network helps show where Philippe Stas may publish in the future.
Co-authors
The 23 scholars most cited alongside Philippe Stas, 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 | 2011 | 113 | |
| 2 | 2007 | 71 | |
| 3 | 2007 | 59 | |
| 4 | 2013 | 54 | |
| 5 | Strategies for preclinical immunogenicity assessment of protein therapeutics. | 2009 | 19 |
| 6 | 2009 | 7 | |
| 7 | 2009 | 2 | |
| 8 | 2009 | 1 | |
| 9 | 2025 | 0 |
About Philippe Stas
Philippe Stas is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Rheumatology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 9 papers that have together received 326 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), vaccines and immunoinformatics approaches (2 papers), Rheumatoid Arthritis Research and Therapies (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Immunology (157 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Toxicology (10 citations), Molecular Biology (69 citations) and Cardiology and Cardiovascular Medicine (26 citations). Philippe Stas has collaborated with scholars based in Netherlands, Belgium and Germany. Frequent co-authors include Ignace Lasters, Dirk Faes, Yannick Gansemans, Paul W.H.I. Parren, Ivo Van Walle, Daniel Weinbuch, Wim Jiskoot, Vera Brinks, Yann D. Dean and Bonita J. Rup. Their work appears in journals such as Expert Opinion on Biological Therapy, Frontiers in Immunology, Pharmaceutical Research, Biologicals and International Journal of Cardiology.
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.