Dries Calus

534 total citations
11 papers, 401 citations indexed

About

Dries Calus is a scholar working on Microbiology, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Dries Calus has authored 11 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Microbiology, 7 papers in Animal Science and Zoology and 6 papers in Epidemiology. Recurrent topics in Dries Calus's work include Microbial infections and disease research (11 papers), Animal Virus Infections Studies (7 papers) and Bacteriophages and microbial interactions (5 papers). Dries Calus is often cited by papers focused on Microbial infections and disease research (11 papers), Animal Virus Infections Studies (7 papers) and Bacteriophages and microbial interactions (5 papers). Dries Calus collaborates with scholars based in Belgium. Dries Calus's co-authors include Freddy Haesebrouck, Dominiek Maes, Frank Pasmans, Tom Meyns, Katleen Vranckx, Jeroen Dewulf, Aart de Kruif, Dominique Maes, Annemie Decostere and Margo Baele and has published in prestigious journals such as Journal of Clinical Microbiology, Vaccine and Journal of Applied Microbiology.

In The Last Decade

Dries Calus

11 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dries Calus Belgium 9 373 228 149 101 100 11 401
I. Wilkie Australia 5 208 0.6× 49 0.2× 61 0.4× 44 0.4× 55 0.6× 10 280
LU Zhong-xin China 10 152 0.4× 53 0.2× 74 0.5× 81 0.8× 50 0.5× 34 266
Kateřina Nechvátalová Czechia 12 123 0.3× 88 0.4× 109 0.7× 48 0.5× 51 0.5× 23 294
P. Riera Spain 9 171 0.5× 349 1.5× 60 0.4× 43 0.4× 38 0.4× 14 446
Ragnhild Nielsen Denmark 11 518 1.4× 59 0.3× 179 1.2× 60 0.6× 380 3.8× 14 552
X. Liao United States 10 399 1.1× 43 0.2× 215 1.4× 153 1.5× 90 0.9× 15 436
Walaiporn Tonpitak Thailand 9 222 0.6× 22 0.1× 84 0.6× 56 0.6× 165 1.6× 13 328
M.G. Elfaki Saudi Arabia 10 121 0.3× 28 0.1× 122 0.8× 149 1.5× 32 0.3× 20 326
Michael Widjaja Australia 7 192 0.5× 28 0.1× 69 0.5× 64 0.6× 108 1.1× 11 331
Rining Zhu China 9 89 0.2× 33 0.1× 52 0.3× 21 0.2× 91 0.9× 21 243

Countries citing papers authored by Dries Calus

Since Specialization
Citations

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

Fields of papers citing papers by Dries Calus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dries Calus

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

All Works

11 of 11 papers shown
1.
2.
Maes, Dominiek, et al.. (2011). Effect of vaccination of pigs against experimental infection with high and low virulence Mycoplasma hyopneumoniae strains. Vaccine. 29(9). 1731–1735. 42 indexed citations
3.
Vranckx, Katleen, et al.. (2011). Multiple-Locus Variable-Number Tandem-Repeat Analysis Is a Suitable Tool for Differentiation of Mycoplasma hyopneumoniae Strains without Cultivation. Journal of Clinical Microbiology. 49(5). 2020–2023. 45 indexed citations
4.
Calus, Dries, et al.. (2010). Validation of ATP luminometry for rapid and accurate titration of Mycoplasma hyopneumoniae in Friis medium and a comparison with the color changing units assay. Journal of Microbiological Methods. 83(3). 335–340. 43 indexed citations
5.
Meyns, Tom, Jeroen Dewulf, Katleen Vranckx, et al.. (2010). The effect of vaccination on the transmission of Mycoplasma hyopneumoniae in pigs under field conditions. The Veterinary Journal. 188(1). 48–52. 54 indexed citations
6.
Calus, Dries, Dominique Maes, Tom Meyns, Frank Pasmans, & Freddy Haesebrouck. (2009). In vivovirulence ofMycoplasma hyopneumoniaeisolates does not correlate within vitroadhesion assessed by a microtitre plate adherence assay. Journal of Applied Microbiology. 106(6). 1951–1956. 2 indexed citations
8.
Calus, Dries, et al.. (2008). A set of four nested PCRs to detect different strains of Mycoplasma hyopneumoniae in biological samples. Ghent University Academic Bibliography (Ghent University). 58–58. 2 indexed citations
9.
Meyns, Tom, Dominiek Maes, Dries Calus, et al.. (2006). Interactions of highly and low virulent Mycoplasma hyopneumoniae isolates with the respiratory tract of pigs. Veterinary Microbiology. 120(1-2). 87–95. 37 indexed citations
10.
Meyns, Tom, Jeroen Dewulf, Aart de Kruif, et al.. (2006). Comparison of transmission of Mycoplasma hyopneumoniae in vaccinated and non-vaccinated populations. Vaccine. 24(49-50). 7081–7086. 76 indexed citations
11.
Calus, Dries, Margo Baele, Tom Meyns, et al.. (2006). Protein variability among Mycoplasma hyopneumoniae isolates. Veterinary Microbiology. 120(3-4). 284–291. 30 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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