Bas Wintermans

632 total citations
8 papers, 173 citations indexed

About

Bas Wintermans is a scholar working on Infectious Diseases, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Bas Wintermans has authored 8 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 2 papers in Sociology and Political Science and 1 paper in Molecular Biology. Recurrent topics in Bas Wintermans's work include Dermatological diseases and infestations (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Bas Wintermans is often cited by papers focused on Dermatological diseases and infestations (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). Bas Wintermans collaborates with scholars based in Netherlands, Sweden and Russia. Bas Wintermans's co-authors include Jean‐Luc Murk, Jacobien Veenemans, Johan Reimerink, Chantal Reusken, Joep Stohr, Ger T. Rijkers, Marcel van den Berge, Pieter van der Pol, Ewout Fanoy and Mariëtte Hooiveld and has published in prestigious journals such as PLoS ONE, The Journal of Infectious Diseases and Environmental Microbiology.

In The Last Decade

Bas Wintermans

8 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bas Wintermans Netherlands 4 163 14 13 12 11 8 173
Sara Chaothai Hong Kong 4 160 1.0× 14 1.0× 7 0.5× 39 3.3× 14 1.3× 6 187
Jessica Cambric United States 4 142 0.9× 28 2.0× 4 0.3× 19 1.6× 14 1.3× 4 175
Kristina Reppond United States 3 141 0.9× 28 2.0× 4 0.3× 19 1.6× 14 1.3× 3 165
Madison Shyer United States 4 141 0.9× 29 2.1× 4 0.3× 19 1.6× 14 1.3× 7 173
Laura E. Avena United States 7 135 0.8× 6 0.4× 3 0.2× 19 1.6× 25 2.3× 7 165
Joseph R. Allen United States 5 131 0.8× 7 0.5× 13 1.0× 12 1.0× 17 1.5× 5 156
Jacquelyn Turcinovic United States 6 107 0.7× 7 0.5× 2 0.2× 29 2.4× 14 1.3× 19 129
Katja Bengs Germany 3 112 0.7× 13 0.9× 5 0.4× 8 0.7× 24 2.2× 7 141
Isabelle Arm‐Vernez Switzerland 6 240 1.5× 28 2.0× 2 0.2× 22 1.8× 18 1.6× 8 259
Minghui Yang China 5 82 0.5× 10 0.7× 2 0.2× 17 1.4× 20 1.8× 8 107

Countries citing papers authored by Bas Wintermans

Since Specialization
Citations

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

Fields of papers citing papers by Bas Wintermans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bas Wintermans

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

All Works

8 of 8 papers shown
1.
Bergmans, Anneke, Suzan D. Pas, Marieta Braks, et al.. (2024). Exploring transmission dynamics of the Sarcoptes scabiei mite in humans by combining molecular typing and epidemiological variables, the Netherlands 2016–2023. Parasites & Vectors. 17(1). 419–419. 2 indexed citations
2.
Bergeijk, Doris A. van, Hannah E. Augustijn, Somayah S. Elsayed, et al.. (2024). Taxonomic and metabolic diversity of Actinomycetota isolated from faeces of a 28,000‐year‐old mammoth. Environmental Microbiology. 26(2). e16589–e16589. 2 indexed citations
3.
Hooiveld, Mariëtte, Susan Marks, Hans van den Kerkhof, et al.. (2022). Increasing incidence of reported scabies infestations in the Netherlands, 2011–2021. PLoS ONE. 17(6). e0268865–e0268865. 26 indexed citations
4.
Peckeu, Laurène, Susan Hahné, Bas Wintermans, et al.. (2021). Short report: The potential of PCR on skin flakes from bed linens for diagnosis of scabies in an outbreak. PLoS neglected tropical diseases. 15(6). e0009485–e0009485. 3 indexed citations
5.
Nieuwkoop, Ellen, et al.. (2021). Management of a hospital-wide vancomycin-resistant Enterococcus faecium outbreak in a Dutch general hospital, 2014–2017: successful control using a restrictive screening strategy. Antimicrobial Resistance and Infection Control. 10(1). 38–38. 13 indexed citations
6.
Rijkers, Ger T., Jean‐Luc Murk, Bas Wintermans, et al.. (2020). Differences in Antibody Kinetics and Functionality Between Severe and Mild Severe Acute Respiratory Syndrome Coronavirus 2 Infections. The Journal of Infectious Diseases. 222(8). 1265–1269. 101 indexed citations
7.
Tol, Sophie van, Ramona Mögling, Wentao Li, et al.. (2020). Accurate serology for SARS-CoV-2 and common human coronaviruses using a multiplex approach. Emerging Microbes & Infections. 9(1). 1965–1973. 25 indexed citations
8.
Fanoy, Ewout, et al.. (2017). Scabiës-PCR bij uitbraken binnen zorgorganisaties. Rivm Repository (Netherlands National Institute for Public Health and the Environment). 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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