Erwin De Genst
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Endocrinology top 2%
- Escherichia coli research studies
Papers in
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- Monoclonal and Polyclonal Antibodies Research 12
- Co-authors
- Serge MuyldermansLode WynsRemy LorisChristopher M. DobsonKatja ConrathJörg KinneKlaas DecanniereKaren Silence
- Journals
- Scientific Reports (3 papers)Journal of Biological Chemistry (3 papers)Journal of Molecular Biology (3 papers)Biochemistry (3 papers)Molecular Microbiology (2 papers)
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Erwin De Genst
41 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Radiology, Nuclear Medicine and Imaging 1.2k
- Endocrinology 257
- Molecular Biology 1.8k
- Molecular Medicine 119
- Immunology 462
Countries citing papers authored by Erwin De Genst
This map shows the geographic impact of Erwin De Genst'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 Erwin De Genst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erwin De Genst more than expected).
Fields of papers citing papers by Erwin De Genst
This network shows the impact of papers produced by Erwin De Genst. 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 Erwin De Genst. The network helps show where Erwin De Genst may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erwin De Genst, 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 | 74 | |
| 2 | 2017 | 100 | |
| 3 | 2017 | 59 | |
| 4 | 2016 | 18 | |
| 5 | 2014 | 59 | |
| 6 | 2014 | 9 | |
| 7 | 2013 | 89 | |
| 8 | 2012 | 26 | |
| 9 | 2012 | 16 | |
| 10 | 2010 | 17 | |
| 11 | 2008 | 421 | |
| 12 | 2007 | 90 | |
| 13 | 2005 | 144 | |
| 14 | 2005 | 116 | |
| 15 | 2004 | 368 | |
| 16 | 2004 | 20 | |
| 17 | 2003 | 18 | |
| 18 | 2003 | 81 | |
| 19 | 2002 | 39 | |
| 20 | 1998 | 89 |
About Erwin De Genst
Erwin De Genst is a scholar working on Endocrinology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Molecular Medicine and Neurology, having authored 41 papers that have together received 3.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Protein purification and stability (5 papers), Neurological disorders and treatments (5 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Endocrinology (257 citations), Molecular Biology (1.8k citations), Molecular Medicine (119 citations) and Immunology (462 citations). Erwin De Genst has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include Serge Muyldermans, Lode Wyns, Remy Loris, Christopher M. Dobson, Katja Conrath, Jörg Kinne, Klaas Decanniere, Karen Silence, Dirk Saerens and Anne Messer. Their work appears in journals such as Scientific Reports, Journal of Biological Chemistry, Journal of Molecular Biology, Biochemistry and Molecular Microbiology.
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.