Tjibbe Donker

1.5k total citations
28 papers, 784 citations indexed

About

Tjibbe Donker is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Tjibbe Donker has authored 28 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 10 papers in Infectious Diseases and 10 papers in Modeling and Simulation. Recurrent topics in Tjibbe Donker's work include COVID-19 epidemiological studies (10 papers), Antibiotic Use and Resistance (9 papers) and Data-Driven Disease Surveillance (9 papers). Tjibbe Donker is often cited by papers focused on COVID-19 epidemiological studies (10 papers), Antibiotic Use and Resistance (9 papers) and Data-Driven Disease Surveillance (9 papers). Tjibbe Donker collaborates with scholars based in Netherlands, United Kingdom and Germany. Tjibbe Donker's co-authors include Jacco Wallinga, Hajo Grundmann, Richard Slack, Marianne A. B. van der Sande, Adam Meijer, Susan Hahné, M. Ciccolini, Cornelia C. H. Wielders, Michiel van Boven and Hajo Grundmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Tjibbe Donker

28 papers receiving 774 citations

Peers

Tjibbe Donker
Joshua Havumaki United States
Basem Alraddadi Saudi Arabia
Joseph A. Lewnard United States
Tjibbe Donker
Citations per year, relative to Tjibbe Donker Tjibbe Donker (= 1×) peers Yoshiaki Gu

Countries citing papers authored by Tjibbe Donker

Since Specialization
Citations

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

Fields of papers citing papers by Tjibbe Donker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tjibbe Donker

This figure shows the co-authorship network connecting the top 25 collaborators of Tjibbe Donker. A scholar is included among the top collaborators of Tjibbe Donker 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 Tjibbe Donker. Tjibbe Donker 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.
Donker, Tjibbe, et al.. (2024). Estimation of SARS-CoV-2 fitness gains from genomic surveillance data without prior lineage classification. Proceedings of the National Academy of Sciences. 121(25). e2314262121–e2314262121. 2 indexed citations
2.
Donker, Tjibbe, et al.. (2023). A coupled experimental and statistical approach for an assessment of SARS-CoV-2 infection risk at indoor event locations. BMC Public Health. 23(1). 1394–1394. 1 indexed citations
3.
D’Ambrosio, A, Vanessa M. Eichel, Alexandra Heininger, et al.. (2023). Forecasting local hospital bed demand for COVID-19 using on-request simulations. Scientific Reports. 13(1). 21321–21321. 6 indexed citations
4.
Pople, Diane, Theodore Kypraios, Tjibbe Donker, et al.. (2023). Model-based evaluation of admission screening strategies for the detection and control of carbapenemase-producing Enterobacterales in the English hospital setting. BMC Medicine. 21(1). 492–492. 2 indexed citations
5.
Donker, Tjibbe, Martin Wolkewitz, Christian Haverkamp, et al.. (2020). Navigating hospitals safely through the COVID-19 epidemic tide: Predicting case load for adjusting bed capacity. Infection Control and Hospital Epidemiology. 42(6). 653–658. 11 indexed citations
6.
Donker, Tjibbe, Timo Smieszek, Katherine L. Henderson, et al.. (2019). Using hospital network-based surveillance for antimicrobial resistance as a more robust alternative to self-reporting. PLoS ONE. 14(7). e0219994–e0219994. 3 indexed citations
7.
Knight, Gwenan M., Nicholas G. Davies, Caroline Colijn, et al.. (2019). Mathematical modelling for antibiotic resistance control policy: do we know enough?. BMC Infectious Diseases. 19(1). 1011–1011. 48 indexed citations
8.
Donker, Tjibbe, Katherine L. Henderson, Katie L. Hopkins, et al.. (2017). The relative importance of large problems far away versus small problems closer to home: insights into limiting the spread of antimicrobial resistance in England. BMC Medicine. 15(1). 86–86. 25 indexed citations
9.
Donker, Tjibbe, Sandra Reuter, Rosy Reynolds, et al.. (2017). Population genetic structuring of methicillin-resistant Staphylococcus aureus clone EMRSA-15 within UK reflects patient referral patterns. Microbial Genomics. 3(7). e000113–e000113. 21 indexed citations
10.
Chang, Hsiao‐Han, Janina Dordel, Tjibbe Donker, et al.. (2016). Identifying the effect of patient sharing on between-hospital genetic differentiation of methicillin-resistant Staphylococcus aureus. Genome Medicine. 8(1). 18–18. 15 indexed citations
11.
Donker, Tjibbe, Thijs Bosch, Rolf J.F. Ypma, et al.. (2016). Monitoring the spread of meticillin-resistant Staphylococcus aureus in The Netherlands from a reference laboratory perspective. Journal of Hospital Infection. 93(4). 366–374. 9 indexed citations
12.
Reuter, Sandra, M. Estée Török, Matthew T. G. Holden, et al.. (2015). Building a genomic framework for prospective MRSA surveillance in the United Kingdom and the Republic of Ireland. Genome Research. 26(2). 263–270. 48 indexed citations
13.
Yan, Xingchen, Leo M. Schouls, Gerlinde Pluister, et al.. (2015). The population structure of Staphylococcus aureus in China and Europe assessed by multiple-locus variable number tandem repeat analysis; clues to geographical origins of emergence and dissemination. Clinical Microbiology and Infection. 22(1). 60.e1–60.e8. 10 indexed citations
14.
Ciccolini, M., Tjibbe Donker, Hajo Grundmann, Marc J. M. Bonten, & Mark Woolhouse. (2014). Efficient surveillance for healthcare-associated infections spreading between hospitals. Proceedings of the National Academy of Sciences. 111(6). 2271–2276. 38 indexed citations
15.
Ciccolini, M., Tjibbe Donker, Robin Köck, et al.. (2013). Infection prevention in a connected world: The case for a regional approach. International Journal of Medical Microbiology. 303(6-7). 380–387. 50 indexed citations
16.
Ypma, Rolf J.F., Tjibbe Donker, W. Marijn van Ballegooijen, & Jacco Wallinga. (2013). Finding Evidence for Local Transmission of Contagious Disease in Molecular Epidemiological Datasets. PLoS ONE. 8(7). e69875–e69875. 11 indexed citations
17.
Donker, Tjibbe, Jacco Wallinga, & Hajo Grundmann. (2013). Dispersal of antibiotic-resistant high-risk clones by hospital networks: changing the patient direction can make all the difference. Journal of Hospital Infection. 86(1). 34–41. 26 indexed citations
18.
Donker, Tjibbe, Jacco Wallinga, Richard Slack, & Hajo Grundmann. (2012). Hospital Networks and the Dispersal of Hospital-Acquired Pathogens by Patient Transfer. PLoS ONE. 7(4). e35002–e35002. 82 indexed citations
19.
Donker, Tjibbe, et al.. (2011). Nowcasting pandemic influenza A/H1N1 2009 hospitalizations in the Netherlands. European Journal of Epidemiology. 26(3). 195–201. 25 indexed citations
20.
Donker, Tjibbe, Jacco Wallinga, & Hajo Grundmann. (2010). Patient Referral Patterns and the Spread of Hospital-Acquired Infections through National Health Care Networks. PLoS Computational Biology. 6(3). e1000715–e1000715. 88 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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