Peter Casteels

2.9k citations
27 papers · 2.4k · h-index 16

Impact in

Papers in

Peter Casteels

27 papers receiving 2.3k citations

Peers

Peter Casteels
Comparison fields: 5 of 86
  • Microbiology 800
  • Insect Science 718
  • Immunology 580
  • Genetics 500
  • Molecular Biology 1.1k
Replace Aparecida S. Tanaka with:
Aparecida S. Tanaka Brazil
Tsuyoshi Muta Japan
Cláudio A.M. Sampaio Brazil
Stéphanie Blandin France
Tharappel C. James Ireland
Yannick Gansemans Belgium
Tie Chen China
Adam Richman United States
Donald Morisato United States
Ping Zhao China
Peter Casteels relative to Aparecida S. Tanaka Brazil Aparecida S. Tanaka's profile →
Citations per field
00.5×7.7×
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989387
2 2004283
3 1993252
4 1990250
5 2006239
6 2011140
7 2001137
8 1994121
9 1994115
10 199390
11 199783
12 199480
13 200045
14 200039
15 199330
16 202123
17 200211
18 200411
19 201310
20 20208

About Peter Casteels

Peter Casteels is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Microbiology, Insect Science and Genetics, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (8 papers), Insect and Pesticide Research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Insect and Arachnid Ecology and Behavior (5 papers), Protein purification and stability (3 papers), Cancer-related Molecular Pathways (3 papers), Plant Molecular Biology Research (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Microbiology (800 citations), Insect Science (718 citations), Immunology (580 citations), Genetics (500 citations) and Molecular Biology (1.1k 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, Dominique Vercammen, Frank Van Breusegem and Geert De Jaeger. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal, Blood, Macromolecular Materials and Engineering and PLANT PHYSIOLOGY.

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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