Daniël J. Wurpel

713 total citations
11 papers, 522 citations indexed

About

Daniël J. Wurpel is a scholar working on Endocrinology, Molecular Medicine and Ecology. According to data from OpenAlex, Daniël J. Wurpel has authored 11 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, 6 papers in Molecular Medicine and 3 papers in Ecology. Recurrent topics in Daniël J. Wurpel's work include Escherichia coli research studies (9 papers), Antibiotic Resistance in Bacteria (6 papers) and Urinary Tract Infections Management (3 papers). Daniël J. Wurpel is often cited by papers focused on Escherichia coli research studies (9 papers), Antibiotic Resistance in Bacteria (6 papers) and Urinary Tract Infections Management (3 papers). Daniël J. Wurpel collaborates with scholars based in Australia and United Kingdom. Daniël J. Wurpel's co-authors include Mark A. Schembri, Makrina Totsika, Danilo Gomes Moriel, Scott A. Beatson, David L. Paterson, Nicola K. Petty, Begoña Heras, Adi Idris, Minh‐Duy Phan and Benjamin A. Rogers and has published in prestigious journals such as PLoS ONE, Journal of Bacteriology and Frontiers in Microbiology.

In The Last Decade

Daniël J. Wurpel

10 papers receiving 513 citations

Peers

Daniël J. Wurpel
Sarah E. Greene United States
Sohinee Sarkar Australia
Brian J. Haugen United States
John R. Brannon United States
Gisela Di Venanzio United States
Patrick D. Olson United States
Sheila I. Hull United States
Darin Blasiar United States
Sarah E. Greene United States
Daniël J. Wurpel
Citations per year, relative to Daniël J. Wurpel Daniël J. Wurpel (= 1×) peers Sarah E. Greene

Countries citing papers authored by Daniël J. Wurpel

Since Specialization
Citations

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

Fields of papers citing papers by Daniël J. Wurpel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniël J. Wurpel. 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 Daniël J. Wurpel. The network helps show where Daniël J. Wurpel may publish in the future.

Co-authorship network of co-authors of Daniël J. Wurpel

This figure shows the co-authorship network connecting the top 25 collaborators of Daniël J. Wurpel. A scholar is included among the top collaborators of Daniël J. Wurpel 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 Daniël J. Wurpel. Daniël J. Wurpel 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.
Wurpel, Daniël J., Scott A. Beatson, Makrina Totsika, Nicola K. Petty, & Mark A. Schembri. (2016). Chaperone-Usher Fimbriae of <em>Escherichia coli</em>. Figshare. 100 indexed citations
2.
Totsika, Makrina, Danilo Gomes Moriel, Alvin W. Lo, et al.. (2016). Molecular Characterization of the Vacuolating Autotransporter Toxin in Uropathogenic Escherichia coli. Journal of Bacteriology. 198(10). 1487–1498. 30 indexed citations
4.
Wurpel, Daniël J., Danilo Gomes Moriel, Makrina Totsika, Donna M. Easton, & Mark A. Schembri. (2014). Comparative analysis of the uropathogenic Escherichia coli surface proteome by tandem mass-spectrometry of artificially induced outer membrane vesicles. Journal of Proteomics. 115. 93–106. 33 indexed citations
5.
Wurpel, Daniël J., Makrina Totsika, Luke P. Allsopp, et al.. (2014). F9 Fimbriae of Uropathogenic Escherichia coli Are Expressed at Low Temperature and Recognise Galβ1-3GlcNAc-Containing Glycans. PLoS ONE. 9(3). e93177–e93177. 38 indexed citations
6.
Moriel, Danilo Gomes, Scott A. Beatson, Daniël J. Wurpel, et al.. (2013). Identification of Novel Vaccine Candidates against Multidrug-Resistant Acinetobacter baumannii. PLoS ONE. 8(10). e77631–e77631. 77 indexed citations
7.
Wurpel, Daniël J., Scott A. Beatson, Makrina Totsika, Nicola K. Petty, & Mark A. Schembri. (2013). Chaperone-Usher Fimbriae of Escherichia coli. PLoS ONE. 8(1). e52835–e52835.
8.
Totsika, Makrina, Danilo Gomes Moriel, Adi Idris, et al.. (2012). Uropathogenic Escherichia coli Mediated Urinary Tract Infection. Current Drug Targets. 13(11). 1386–1399. 107 indexed citations
9.
Easton, Donna M., Makrina Totsika, Luke P. Allsopp, et al.. (2011). Characterization of EhaJ, a New Autotransporter Protein from Enterohemorrhagic and Enteropathogenic Escherichia coli. Frontiers in Microbiology. 2. 120–120. 21 indexed citations
10.
Totsika, Makrina, Begoña Heras, Daniël J. Wurpel, & Mark A. Schembri. (2009). Characterization of Two Homologous Disulfide Bond Systems Involved in Virulence Factor Biogenesis in Uropathogenic Escherichia coli CFT073. Journal of Bacteriology. 191(12). 3901–3908. 65 indexed citations
11.
Totsika, Makrina, Begoña Heras, Daniël J. Wurpel, & Mark A. Schembri. (2009). Characterization of two homologous disulfide bond systems involved in virulence factor biogenesis in uropathogenic Escherichia coli CFT073.. PubMed. 191(12). 3901–8. 1 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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