Erwin De Genst

3.7k citations
41 papers · 3.0k indexed · 1 hit paper · h-index 26

Impact in

Papers in

Erwin De Genst

41 papers receiving 2.9k citations

Hit Papers

Molecular basis for the preferential cleft recognition by dromedary heavy-chain antibodies 2006 · 514 citations
5142006202620122019100200300400500

Peers

Erwin De Genst
Comparison fields: 5 of 116
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Endocrinology 257
  • Molecular Biology 1.8k
  • Molecular Medicine 119
  • Immunology 462
Replace Christoph Spiess with:
Christoph Spiess United States
Aline Desmyter France
Michael Hust Germany
Daniel Baty France
Ehud Skutelsky Israel
Philippe Ringler Switzerland
Ulrich Baxa United States
Winfried Römer Germany
Andrew Bradbury United States
Katja Conrath Belgium
Erwin De Genst relative to Christoph Spiess United States Christoph Spiess's profile →
Citations per field
00.5×2.9×
Christoph Spiess · 1×
Citations per year

Countries citing papers authored by Erwin De Genst

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Erwin De Genst Line = papers co-authored together Erwin De Genst links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201874
2 2017100
3 201759
4 201618
5 201459
6 20149
7 201389
8 201226
9 201216
10 201017
11 2008421
12 200790
13 2005144
14 2005116
15 2004368
16 200420
17 200318
18 200381
19 200239
20 199889

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.

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