Guido M. Voets

1.6k citations
15 papers · 1.2k indexed · 1 hit paper · h-index 12
Topics
Antibiotic Resistance in Bacteria (13 papers)Vibrio bacteria research studies (6 papers)Salmonella and Campylobacter epidemiology (5 papers)

In The Last Decade

Guido M. Voets

15 papers receiving 1.2k citations

Hit Papers

Dutch patients, retail chicken meat and poultry share the...20112026201620212011100200300400500

Peers

Guido M. Voets
Comparison fields: 5 of 65
  • Molecular Medicine 900
  • Endocrinology 484
  • Pollution 356
  • Food Science 318
  • Molecular Biology 163
Replace C.M. Dierikx with:
C.M. Dierikx Netherlands
Rym Ben Sallem Tunisia
Laura Vinué Spain
Cindy Dierikx Netherlands
Kim van der Zwaluw Netherlands
Joost Hordijk Netherlands
Kaichao Chen Hong Kong
Sergio Somalo Spain
Judit Pászti Hungary
Nicole Roschanski Germany
Guido M. Voets relative to C.M. Dierikx Netherlands C.M. Dierikx's profile →
Citations per field
00.5×1.5×1.9×
C.M. Dierikx · 1×
Citations per year

Countries citing papers authored by Guido M. Voets

Since Specialization
Citations

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

Fields of papers citing papers by Guido M. Voets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guido M. Voets. 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 Guido M. Voets. The network helps show where Guido M. Voets may publish in the future.

Co-authorship network of co-authors of Guido M. Voets

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 58
2 107
3 54
4 17
5 10
6 7
7 99
8 42
9 28
10 9
11 77
12 12
13
Dutch patients, retail chicken meat and poultry share the same ESBL genes, plasmids and strainsbreakdown →
561
14
[Carbapenem-resistant Klebsiella pneumoniae following foreign travel].
12
15 118

About Guido M. Voets

Guido M. Voets is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Vibrio bacteria research studies (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Molecular Medicine (900 citations), Endocrinology (484 citations) and Applied Microbiology and Biotechnology (84 citations). Guido M. Voets has collaborated with scholars based in Netherlands, Switzerland and United States. Frequent co-authors include Ad C. Fluit, James Cohen Stuart, Maurine A. Leverstein‐van Hall, Jelle Scharringa, Tamara N Platteel, Marc J. M. Bonten, C.M. Dierikx, N. van de Sande-Bruinsma, Alieda van Essen-Zandbergen and Dik Mevius. Their work appears in journals such as PLoS ONE, The Plant Cell and Journal of Clinical 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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