Jacques Godfroid

9.1k total citations · 1 hit paper
153 papers, 6.6k citations indexed

About

Jacques Godfroid is a scholar working on Small Animals, Epidemiology and Food Science. According to data from OpenAlex, Jacques Godfroid has authored 153 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Small Animals, 64 papers in Epidemiology and 56 papers in Food Science. Recurrent topics in Jacques Godfroid's work include Brucella: diagnosis, epidemiology, treatment (101 papers), Burkholderia infections and melioidosis (38 papers) and Animal Disease Management and Epidemiology (37 papers). Jacques Godfroid is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (101 papers), Burkholderia infections and melioidosis (38 papers) and Animal Disease Management and Epidemiology (37 papers). Jacques Godfroid collaborates with scholars based in Norway, Belgium and France. Jacques Godfroid's co-authors include Axel Cloeckaert, Claude Saegerman, Jean‐Jacques Letesson, Karl Walravens, Geoffrey Foster, Bruno Garin‐Bastuji, Morten Tryland, Patrick P. Michel, David Frétin and Klaus Nielsen and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jacques Godfroid

148 papers receiving 6.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CD8α+ and CD8α− Subclasses of Dendritic Cells Direct the Development of Distinct T Helper Cells In Vivo

1999 821 citations Patrick P. Michel, Jacques Godfroid et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jacques Godfroid Norway	39	4.3k	2.5k	2.4k	1.7k	1.3k	153	6.6k
Adrian M. Whatmore United Kingdom	43	3.4k 0.8×	2.3k 0.9×	2.7k 1.1×	714 0.4×	503 0.4×	120	6.3k
Steven C. Olsen United States	30	2.1k 0.5×	1.0k 0.4×	1.1k 0.5×	584 0.4×	659 0.5×	136	3.0k
N. F. Cheville United States	41	1.9k 0.4×	790 0.3×	1.3k 0.5×	792 0.5×	674 0.5×	164	4.6k
Geoffrey Foster United Kingdom	33	1.3k 0.3×	1.3k 0.5×	863 0.4×	618 0.4×	353 0.3×	146	4.0k
Karsten Nöckler Germany	41	2.5k 0.6×	1.7k 0.7×	1.5k 0.6×	309 0.2×	328 0.2×	154	6.1k
Mitchell V. Palmer United States	49	1.5k 0.3×	430 0.2×	4.3k 1.8×	1.3k 0.8×	1.2k 0.9×	242	7.3k
Ramón A. Juste Spain	49	1.2k 0.3×	443 0.2×	4.1k 1.7×	799 0.5×	1.3k 1.0×	243	7.8k
U. Wernery United Arab Emirates	39	630 0.1×	666 0.3×	1.4k 0.6×	607 0.4×	900 0.7×	280	5.9k
Marcos Bryan Heinemann Brazil	34	935 0.2×	542 0.2×	980 0.4×	270 0.2×	1.1k 0.8×	310	4.3k
Jack C. Rhyan United States	34	942 0.2×	404 0.2×	697 0.3×	279 0.2×	1.1k 0.8×	116	3.0k

Countries citing papers authored by Jacques Godfroid

Since Specialization

Citations

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

Fields of papers citing papers by Jacques Godfroid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Godfroid

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Godfroid. A scholar is included among the top collaborators of Jacques Godfroid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacques Godfroid. Jacques Godfroid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Troskie, Milana, Jacques Godfroid, Lin‐Mari de Klerk‐Lorist, et al.. (2024). Detection of Tick‐Borne Pathogen Coinfections and Coexposures to Foot‐and‐Mouth Disease, Brucellosis, and Q Fever in Selected Wildlife From Kruger National Park, South Africa, and Etosha National Park, Namibia. Transboundary and Emerging Diseases. 2024(1). 2417717–2417717.

Guimarães, Alessandro de Sá, et al.. (2024). Systematic review on the effectiveness of Brucella abortus S19 and RB51 vaccine strains in field studies. Vaccine. 45. 126649–126649. 3 indexed citations

Filho, Júlio Sílvio de Sousa Bueno, et al.. (2023). Accuracy of serological tests for bovine brucellosis: A systematic review and meta-analysis. Preventive Veterinary Medicine. 222. 106079–106079. 12 indexed citations

Holt, Hannah, Martin Walker, Wendy Beauvais, et al.. (2023). Modelling the control of bovine brucellosis in India. Journal of The Royal Society Interface. 20(200). 20220756–20220756. 5 indexed citations

Frétin, David, et al.. (2022). Identification and molecular characterization of Brucella abortus and Brucella melitensis isolated from milk in cattle in Azerbaijan. BMC Veterinary Research. 18(1). 71–71. 21 indexed citations

Dadar, Maryam, Youcef Shahali, Yadolah Fakhri, & Jacques Godfroid. (2020). The global epidemiology of Brucella infections in terrestrial wildlife: A meta‐analysis. Transboundary and Emerging Diseases. 68(2). 715–729. 25 indexed citations

Jansen, Wiebke, Charles Nicaise, Jacques Godfroid, et al.. (2020). Shedding of Brucella melitensis happens through milk macrophages in the murine model of infection. Scientific Reports. 10(1). 9421–9421. 10 indexed citations

Foster, Geoffrey, Ingebjørg H. Nymo, KM Kovacs, et al.. (2018). First isolation of Brucella pinnipedialis and detection of Brucella antibodies from bearded seals Erignathus barbatus. Diseases of Aquatic Organisms. 128(1). 13–20. 13 indexed citations

Muwonge, Adrian, et al.. (2018). The sero-prevalence of brucellosis in cattle and their herders in Bahr el Ghazal region, South Sudan. PLoS neglected tropical diseases. 12(6). e0006456–e0006456. 35 indexed citations

10.

Simpson, Gregory, Vanessa Quan, John Frean, et al.. (2018). Prevalence of Selected Zoonotic Diseases and Risk Factors at a Human-Wildlife-Livestock Interface in Mpumalanga Province, South Africa. Vector-Borne and Zoonotic Diseases. 18(6). 303–310. 43 indexed citations

11.

Agdestein, Angelika, Knut Egil Bøe, Andrew M. Janczak, et al.. (2016). Risk assessment on welfare in turkeys. Opinion of the Panel of Animal Health and Welfare of the Norwegian Scientific Committee for Food Safety. BIBSYS Brage (BIBSYS (Norway)). 1 indexed citations

12.

Godfroid, Jacques, et al.. (2014). Seroprevalence of brucellosis in sheep and isolation of Brucella abortus biovar 6 in Kassala State, Eastern Sudan. Revue Scientifique et Technique de l OIE. 33(3). 957–965. 19 indexed citations

13.

Sperstad, Sigmund, Jacques Godfroid, Zhigang Zhou, et al.. (2013). Bacterial diversity of aMasi, a South African fermented milk product, determined by clone library and denaturing gradient gel electrophoresis analysis. African Journal of Microbiology Research. 7(32). 4146–4158. 19 indexed citations

14.

Åsbakk, Kjetil, Jon Aars, Andrew E. Derocher, et al.. (2010). Serosurvey for Trichinella in polar bears (Ursus maritimus) from Svalbard and the Barents Sea. Veterinary Parasitology. 172(3-4). 256–263. 26 indexed citations

15.

Humblet, Marie‐France, Karl Walravens, María-Laura Boschiroli, et al.. (2009). Première évaluation et validation des pratiques d'intradermo-tuberculination des vétérinaires praticiens ruraux fondées sur un questionnaire d'enquête épidémiologique anonyme. Open Repository and Bibliography (University of Liège). 1 indexed citations

16.

Morar-Leather, Darshana, Edwin Tijhaar, Aurel Negrea, et al.. (2006). Cloning, sequencing and expression of white rhinoceros (Ceratotherium simum) interferon-gamma (IFN-γ) and the production of rhinoceros IFN-γ specific antibodies. Veterinary Immunology and Immunopathology. 115(1-2). 146–154. 25 indexed citations

17.

Nielsen, K., Phillip D. Smith, Yu Wang, et al.. (2005). Serological discrimination by indirect enzyme immunoassay between the antibody response to Brucella sp. and Yersinia enterocolitica O:9 in cattle and pigs. Veterinary Immunology and Immunopathology. 109(1-2). 69–78. 34 indexed citations

18.

Cloeckaert, Axel, Maggy Grayon, Jean‐Yves Paquet, et al.. (2001). Classification of spp. isolated from marine mammals by DNA polymorphism at the locus. Microbes and Infection. 3(9). 729–738. 131 indexed citations

19.

Saegerman, Claude, et al.. (1997). Etude épidémiologique descriptive et identification de facteurs de risque des réactions sérologiques faussement positives en brucellose bovine dans le sud de la province de Namur (Belgique). Open Repository and Bibliography (University of Liège). 1 indexed citations

20.

Godfroid, Jacques, Patrick P. Michel, L. Uytterhaegen, et al.. (1994). Brucellose enzootique à Brucella suis biotype 2 chez le sanglier (sus scrofa) en Belgique. Open Repository and Bibliography (University of Liège). 29 indexed citations

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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