Guy Caljon

183 papers receiving 3.5k citations

Guy Caljon's Hit Papers

AI is a viable alternative to high throughput screening: a 318-target study 2024 · 90 citations
900+1Years since publication255075

Peers

Guy Caljon
Comparison fields: 5 of 123
  • Parasitology 453
  • Public Health, Environmental and Occupational Health 1.6k
  • Epidemiology 1.7k
  • Insect Science 598
  • Immunology 458
Replace Carlos Robello with:
Carlos Robello Uruguay
Martin Craig Taylor United Kingdom
David M. Engman United States
Thaïs Souto-Padrón Brazil
Ali Ouaissi France
Atashi Anupama United States
Dietmar Steverding United Kingdom
Angela Kaysel Cruz Brazil
Jaime Martins Santana Brazil
Carlos Renato Machado Brazil
Guy Caljon relative to Carlos Robello Uruguay Carlos Robello's profile →
Citations per field
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Carlos Robello · 1×
Citations per year

Countries citing papers authored by Guy Caljon

Since Specialization
Citations

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

Fields of papers citing papers by Guy Caljon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014200
2 2022121
3 2016116
4
AI is a viable alternative to high throughput screening: a 318-target study
Hit paper breakdown →
202490
5 201082
6 201680
7 201675
8 201669
9 201963
10 201961
11 201161
12 201261
13 201457
14 201156
15 202155
16 200653
17 201351
18 201848
19 201147
20 200647

About Guy Caljon

Guy Caljon is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Organic Chemistry, Parasitology and Insect Science, having authored 190 papers that have together received 3.6k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (112 papers), Research on Leishmaniasis Studies (106 papers), Synthesis and Biological Evaluation (35 papers), Insect symbiosis and bacterial influences (14 papers), Parasites and Host Interactions (12 papers), Biochemical and Molecular Research (11 papers), Malaria Research and Control (8 papers) and Insect and Pesticide Research (7 papers). The work is most often cited by research in Parasitology (453 citations), Public Health, Environmental and Occupational Health (1.6k citations), Epidemiology (1.7k citations), Insect Science (598 citations) and Immunology (458 citations). Guy Caljon has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Louis J.R.M. Maes, Jan Van Den Abbeele, Stefan Magez, Sarah Hendrickx, Benoı̂t Stijlemans, Patrick De Baetselier, Marc Coosemans, Serge Van Calenbergh, Linda De Vooght and Karin De Ridder. Their work appears in journals such as PLoS neglected tropical diseases, European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, PLoS Pathogens and International Journal for Parasitology Drugs and Drug Resistance.

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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