G. Charlier

2.0k citations
71 papers · 1.5k · h-index 22

Impact in

Papers in

G. Charlier

71 papers receiving 1.4k citations

Peers

G. Charlier
Comparison fields: 5 of 96
  • Endocrinology 482
  • Microbiology 202
  • Infectious Diseases 513
  • Animal Science and Zoology 284
  • Immunology 307
Replace Frank M. Hetrick with:
Frank M. Hetrick United States
Sinikka Pelkonen Finland
W. L. Steffens United States
Irene Zorrilla Spain
Greg D. Appleyard Canada
Janet I. MacInnes Canada
R. Parton United Kingdom
Shaohui Wang China
Giuseppe Iovane Italy
N. H. Smith United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by G. Charlier

Since Specialization
Citations

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

Fields of papers citing papers by G. Charlier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000134
2 1999119
3 2000111
4 1992107
5 199991
6 199652
7 199452
8 198648
9 198446
10 198841
11 199141
12
Infectious agents associated with diarrhoea in commercial rabbits: a field study.
198438
13 200037
14 199930
15 200228
16 199924
17 199324
18 199623
19 198422
20 199522

About G. Charlier

G. Charlier is a scholar working on Infectious Diseases, Animal Science and Zoology, Microbiology, Endocrinology and Molecular Biology, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (16 papers), Viral gastroenteritis research and epidemiology (14 papers), Escherichia coli research studies (14 papers), Microbial infections and disease research (12 papers), Animal Disease Management and Epidemiology (8 papers), Viral Infections and Immunology Research (8 papers), Clostridium difficile and Clostridium perfringens research (7 papers) and Vector-Borne Animal Diseases (6 papers). The work is most often cited by research in Endocrinology (482 citations), Microbiology (202 citations), Infectious Diseases (513 citations), Animal Science and Zoology (284 citations) and Immunology (307 citations). G. Charlier has collaborated with scholars based in Belgium, Vietnam and Switzerland. Frequent co-authors include Freddy Haesebrouck, P. Pohl, Annemie Decostere, Richard Ducatelle, J. Peeters, James Turnbull, G. Meulemans, Henri De Greve, Mireille Decaesstecker and R. Ducatelle. Their work appears in journals such as Infection and Immunity, Avian Pathology, Veterinary Microbiology, Journal of Comparative Pathology and Microbial Pathogenesis.

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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