Jean‐Jacques Letesson

10.3k citations
176 papers · 7.6k · h-index 51

Impact in

Papers in

Jean‐Jacques Letesson

176 papers receiving 7.3k citations

Peers

Jean‐Jacques Letesson
Comparison fields: 5 of 127
  • Small Animals 4.6k
  • Endocrinology 1.7k
  • Food Science 1.6k
  • Immunology 1.7k
  • Epidemiology 2.2k
Replace Edgardo Moreno with:
Edgardo Moreno Costa Rica
Ignacio Moriyón Spain
Gerhardt G. Schurig United States
Thomas A. Ficht United States
J.M. Blasco Spain
Gary A. Splitter United States
David O’Callaghan France
Stephen M. Boyle United States
Tatiane A. Paíxão Brazil
Cynthia L. Baldwin United States
Jean‐Jacques Letesson relative to Edgardo Moreno Costa Rica Edgardo Moreno's profile →
Citations per field
00.5×1.5×
Edgardo Moreno · 1×
Citations per year

Countries citing papers authored by Jean‐Jacques Letesson

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Jacques Letesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Jacques Letesson. 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 Jean‐Jacques Letesson. The network helps show where Jean‐Jacques Letesson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005459
2 2011320
3 1989196
4 2001180
5 2005141
6 2005131
7 2000130
8 2008123
9 2007120
10 2001118
11 2002117
12 2009107
13 1998103
14 2004103
15 2013101
16 199899
17 201199
18 199194
19 200589
20 200688

About Jean‐Jacques Letesson

Jean‐Jacques Letesson is a scholar working on Small Animals, Immunology, Epidemiology, Molecular Biology and Endocrinology, having authored 176 papers that have together received 7.6k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (105 papers), Escherichia coli research studies (43 papers), Galectins and Cancer Biology (30 papers), Bacteriophages and microbial interactions (30 papers), Burkholderia infections and melioidosis (29 papers), Monoclonal and Polyclonal Antibodies Research (25 papers), Animal Disease Management and Epidemiology (17 papers) and Glycosylation and Glycoproteins Research (11 papers). The work is most often cited by research in Small Animals (4.6k citations), Endocrinology (1.7k citations), Food Science (1.6k citations), Immunology (1.7k citations) and Epidemiology (2.2k citations). Jean‐Jacques Letesson has collaborated with scholars based in Belgium, France and Spain. Frequent co-authors include Xavier De Bolle, Anne Tibor, Jacques Godfroid, Axel Cloeckaert, Karl Walravens, Vincent Weynants, Isabelle Danese, Pascal Mertens, Pascal Lestrate and David Frétin. Their work appears in journals such as Infection and Immunity, Veterinary Immunology and Immunopathology, Journal of Bacteriology, Veterinary Microbiology and Cellular 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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