Matthijs Oyaert

100 total papers · 1.4k total citations
50 papers, 884 citations indexed

About

Matthijs Oyaert is a scholar working on Epidemiology, Infectious Diseases and Clinical Biochemistry. According to data from OpenAlex, Matthijs Oyaert has authored 50 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 11 papers in Infectious Diseases and 10 papers in Clinical Biochemistry. Recurrent topics in Matthijs Oyaert's work include Urinary Tract Infections Management (13 papers), Pediatric Urology and Nephrology Studies (9 papers) and Bacterial Identification and Susceptibility Testing (9 papers). Matthijs Oyaert is often cited by papers focused on Urinary Tract Infections Management (13 papers), Pediatric Urology and Nephrology Studies (9 papers) and Bacterial Identification and Susceptibility Testing (9 papers). Matthijs Oyaert collaborates with scholars based in Belgium, Finland and Brazil. Matthijs Oyaert's co-authors include Joris Delanghe, Pieter Vermeersch, Marijn M. Speeckaert, Steven Pauwels, Anne Smits, Nele Peersman, Isabel Spriet, Karel Allegaert, Marc Van Ranst and Emmanuel André and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Clinical Microbiology.

In The Last Decade

Matthijs Oyaert

46 papers receiving 871 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthijs Oyaert 294 266 125 115 114 50 884
Roberto Bandettini 389 1.3× 441 1.7× 113 0.9× 75 0.7× 155 1.4× 71 1.1k
R. S. Griffith 203 0.7× 256 1.0× 180 1.4× 69 0.6× 82 0.7× 35 1.0k
Marie‐Clémence Verdier 197 0.7× 237 0.9× 77 0.6× 173 1.5× 46 0.4× 83 838
G. Phillips 245 0.8× 309 1.2× 165 1.3× 69 0.6× 130 1.1× 49 1.0k
Aki Sakurai 279 0.9× 119 0.4× 183 1.5× 133 1.2× 50 0.4× 63 880
Manuel Etienne 196 0.7× 353 1.3× 115 0.9× 29 0.3× 56 0.5× 59 817
D. Merzbach 203 0.7× 262 1.0× 176 1.4× 47 0.4× 65 0.6× 70 843
Peter Matzneller 158 0.5× 190 0.7× 144 1.2× 109 0.9× 66 0.6× 49 884
C. Moroni 284 1.0× 321 1.2× 95 0.8× 48 0.4× 162 1.4× 45 969
Bo Zheng 179 0.6× 253 1.0× 99 0.8× 39 0.3× 88 0.8× 63 908

Countries citing papers authored by Matthijs Oyaert

Since Specialization
Citations

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

Fields of papers citing papers by Matthijs Oyaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthijs Oyaert

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

All Works

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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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