Daisy Vanrompay

6.9k total citations
191 papers, 5.1k citations indexed

About

Daisy Vanrompay is a scholar working on Microbiology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Daisy Vanrompay has authored 191 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Microbiology, 56 papers in Epidemiology and 42 papers in Infectious Diseases. Recurrent topics in Daisy Vanrompay's work include Reproductive tract infections research (121 papers), Microbial infections and disease research (30 papers) and Clostridium difficile and Clostridium perfringens research (24 papers). Daisy Vanrompay is often cited by papers focused on Reproductive tract infections research (121 papers), Microbial infections and disease research (30 papers) and Clostridium difficile and Clostridium perfringens research (24 papers). Daisy Vanrompay collaborates with scholars based in Belgium, Netherlands and United States. Daisy Vanrompay's co-authors include Eric Cox, Freddy Haesebrouck, R. Ducatelle, Bruno Goddeeris, Delphine Sylvie Anne Beeckman, Peter Bossier, Tom Geens, Taher Harkinezhad, Isabelle Kalmar and Kristel Verminnen and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Applied and Environmental Microbiology.

In The Last Decade

Daisy Vanrompay

185 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisy Vanrompay Belgium 41 3.0k 1.2k 997 929 675 191 5.1k
Helmut Hotzel Germany 41 1.8k 0.6× 994 0.8× 1.2k 1.2× 1.7k 1.9× 457 0.7× 170 4.8k
Konrad Sachse Germany 48 5.2k 1.7× 2.0k 1.6× 1.2k 1.2× 1.2k 1.3× 1.3k 1.9× 192 7.1k
J. Nicolet Switzerland 41 2.7k 0.9× 809 0.6× 751 0.8× 994 1.1× 1.0k 1.5× 153 4.8k
Andrew Potter Canada 43 1.9k 0.6× 1.1k 0.9× 1.2k 1.2× 1.6k 1.7× 1.6k 2.4× 217 6.1k
Hideto Fukushi Japan 37 1.3k 0.4× 2.2k 1.8× 498 0.5× 1.0k 1.1× 406 0.6× 200 4.7k
Peter Kuhnert Switzerland 47 2.6k 0.8× 603 0.5× 1.8k 1.8× 1.3k 1.4× 1.2k 1.8× 169 6.5k
Glenn F. Browning Australia 46 2.6k 0.9× 2.4k 1.9× 662 0.7× 2.1k 2.2× 1.4k 2.1× 314 7.6k
Anthony W. Confer United States 41 3.0k 1.0× 841 0.7× 434 0.4× 1.1k 1.2× 1.1k 1.6× 196 5.7k
Volker Gerdts Canada 37 977 0.3× 1.4k 1.1× 955 1.0× 1.5k 1.6× 1.6k 2.3× 155 5.0k
Daniel D. Rockey United States 34 3.0k 1.0× 1.6k 1.3× 834 0.8× 681 0.7× 747 1.1× 73 4.0k

Countries citing papers authored by Daisy Vanrompay

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Vanrompay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisy Vanrompay

This figure shows the co-authorship network connecting the top 25 collaborators of Daisy Vanrompay. A scholar is included among the top collaborators of Daisy Vanrompay 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 Daisy Vanrompay. Daisy Vanrompay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Borel, Nicole, David Longbottom, Gilbert Greub, et al.. (2025). Zoonotic infections due to avian Chlamydia abortus: what are we missing?. The Lancet Microbe. 6(11). 101197–101197.
3.
Zheng, Xiaoting, et al.. (2024). In vitro and in vivo characterization of citral and limonene combinations against Vibrio campbellii in brine shrimp. Aquaculture. 593. 741343–741343. 2 indexed citations
4.
Geens, Tom, et al.. (2024). Belgian Cross-Sectional Epidemiological Study on Zoonotic Avian Chlamydia spp. in Chickens. Microorganisms. 12(1). 193–193. 5 indexed citations
5.
Dierick, M., et al.. (2024). Exploring the modulatory role of bovine lactoferrin on the microbiome and the immune response in healthy and Shiga toxin-producing E. coli challenged weaned piglets. Journal of Animal Science and Biotechnology. 15(1). 39–39. 5 indexed citations
6.
Inić‐Kanada, Aleksandra, Christian Knecht, Daisy Vanrompay, et al.. (2021). Characteristics of Chlamydia suis Ocular Infection in Pigs. Pathogens. 10(9). 1103–1103. 5 indexed citations
7.
Sanders, Niek N., et al.. (2020). Chlamydia: what is on the outside does matter. Critical Reviews in Microbiology. 46(1). 100–119. 14 indexed citations
8.
Morré, Servaas A., et al.. (2018). Co-Occurrence of Chlamydia suis DNA and Chlamydia suis- Specific Antibodies in the Human Eye. Vector-Borne and Zoonotic Diseases. 18(12). 677–682. 11 indexed citations
9.
Zhong, Zifu, et al.. (2018). mRNA therapeutics deliver a hopeful message. Nano Today. 23. 16–39. 97 indexed citations
10.
Spierenburg, Marcel, et al.. (2015). Managing a cluster outbreak of psittacosis in Belgium linked to a pet shop visit in The Netherlands. Epidemiology and Infection. 144(8). 1710–1716. 30 indexed citations
11.
Kalmar, Isabelle, et al.. (2013). Prevalence and Genotype Distribution of Chlamydia psittaci in Feral Canada Geese ( Branta canadensis ) in Belgium. Vector-Borne and Zoonotic Diseases. 13(6). 382–384. 17 indexed citations
12.
Vanrompay, Daisy, et al.. (2012). Mucosal priming of the murine immune system against enterohemorrhagic Escherichia coli O157:H7 using Lactococcus lactis expressing the type III secretion system protein EspB. Veterinary Immunology and Immunopathology. 152(1-2). 141–145. 13 indexed citations
13.
14.
Beeckman, Delphine Sylvie Anne, et al.. (2008). Effect of ovotransferrin on Chlamydophila psittaci infection in SPF turkeys. World s Poultry Science Journal. 64. 616–616. 1 indexed citations
15.
Beeckman, Delphine Sylvie Anne, et al.. (2008). Identification and characterization of a type III secretion system inChlamydophila psittaci. Veterinary Research. 39(3). 27–27. 21 indexed citations
16.
Vanrompay, Daisy. (2008). Update on avian chlamydiosis and its public health significance. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
17.
Verminnen, Kristel, Marnix Van Loock, Hafez Mohamed Hafez, et al.. (2006). Evaluation of a recombinant enzyme-linked immunosorbent assay for detectingChlamydophila psittaciantibodies in turkey sera. Veterinary Research. 37(4). 623–632. 36 indexed citations
18.
Verminnen, Kristel, Marnix Van Loock, Eric Cox, & Daisy Vanrompay. (2004). Protection of turkeys against Chlamydophila psittaci challenge by DNA and rMOMP vaccination and evaluation of the immunomodulating effect of 1 alpha,25-dihydroxyvitamin D-3. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
19.
Geens, Tom, Marnix Van Loock, E. F. Kaleta, et al.. (2004). Serological and molecular characterization of Chlamydophila psittaci strains using serovar-specific monoclonal antibodies, OmpA RFLP analysis and OmpA sequencing. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
20.
Vanrompay, Daisy, et al.. (1995). PATHOLOGY OF EXPERIMENTAL CHLAMYDIOSIS IN TURKEYS.. Ghent University Academic Bibliography (Ghent University). 3 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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