Peter Casteels

31 papers receiving 2.5k citations

Peter Casteels's Hit Papers

Apidaecins: antibacterial peptides from honeybees. 1989 · 415 citations
4150+12+24Years since publication100200300400

Peers

Peter Casteels
Comparison fields: 5 of 86
  • Microbiology 833
  • Insect Science 749
  • Immunology 595
  • Genetics 504
  • Molecular Biology 1.2k
Replace Aparecida S. Tanaka with:
Aparecida S. Tanaka Brazil
M. Marta Guarna Canada
Graham D. Kemp United Kingdom
Stéphanie Blandin France
Daniel C. Desrosiers United States
Tharappel C. James Ireland
Frederick K. Chu United States
Yannick Gansemans Belgium
Mark A. Blight France
Tomas Kempe United States
Peter Casteels relative to Aparecida S. Tanaka Brazil Aparecida S. Tanaka's profile →
Citations per field
00.5×2×4×6×7.8×
Aparecida S. Tanaka · 1×
Citations per year

Countries citing papers authored by Peter Casteels

Since Specialization
Citations

This map shows the geographic impact of Peter Casteels'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 Peter Casteels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Casteels more than expected).

Fields of papers citing papers by Peter Casteels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Casteels. 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 Peter Casteels. The network helps show where Peter Casteels may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Casteels, 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 Peter Casteels Line = papers co-authored together Peter Casteels links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Apidaecins: antibacterial peptides from honeybees.
Hit paper breakdown →
1989415
2 2004302
3 1990267
4 1993265
5 2006245
6 2011149
7 2001140
8 1994125
9 1994119
10 199397
11 199790
12 199485
13 200046
14 200042
15 199332
16 202126
17 199419
18 201314
19 200413
20 200211

About Peter Casteels

Peter Casteels is a scholar working on Molecular Biology, Microbiology, Insect Science, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 31 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (9 papers), Insect and Pesticide Research (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Insect and Arachnid Ecology and Behavior (5 papers), Cancer-related Molecular Pathways (4 papers), Microtubule and mitosis dynamics (3 papers), Plant Molecular Biology Research (3 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Microbiology (833 citations), Insect Science (749 citations), Immunology (595 citations), Genetics (504 citations) and Molecular Biology (1.2k citations). Peter Casteels has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Paul Tempst, Christophe Ampè, Frans Jacobs, Mark Vaeck, Dirk Inzé, Lieven De Veylder, Mark D. Fleming, Frank Van Breusegem, Dominique Vercammen and Dominique Eeckhout. Their work appears in journals such as Journal of Biological Chemistry, Blood, The EMBO Journal, Protein Expression and Purification and Biochemical and Biophysical Research Communications.

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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