Katelijn Vandemaele

2.9k citations
14 papers · 1.1k indexed · 1 hit paper · h-index 12
Topics
Influenza Virus Research Studies (9 papers)COVID-19 epidemiological studies (9 papers)Respiratory viral infections research (4 papers)

In The Last Decade

Katelijn Vandemaele

14 papers receiving 1.0k citations

Hit Papers

Increased transmissibility and global spread of SARS-CoV-...20212026202220242021100200300400500

Peers

Katelijn Vandemaele
Comparison fields: 5 of 96
  • Infectious Diseases 688
  • Epidemiology 322
  • Modeling and Simulation 274
  • Health 119
  • Ecology 119
Replace Azizul Haque with:
Azizul Haque France
Sarah Kada United States
Fang Tang China
Daniela Michlmayr United States
Ange Bissielo New Zealand
Arthur W. D. Edridge Netherlands
Alemka Markotić Croatia
John S. Schieffelin United States
Qun Li China
Melissa S. Nolan United States
Katelijn Vandemaele relative to Azizul Haque France Azizul Haque's profile →
Citations per field
00.5×4.8×
Azizul Haque · 1×
Citations per year

Countries citing papers authored by Katelijn Vandemaele

Since Specialization
Citations

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

Fields of papers citing papers by Katelijn Vandemaele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katelijn Vandemaele

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 16
2 15
3 11
4
Increased transmissibility and global spread of SARS-CoV-2 variants of concern as at June 2021breakdown →
509
5 7
6 26
7 125
8 59
9 94
10 103
11 56
12 4
13 11
14 24

About Katelijn Vandemaele

Katelijn Vandemaele is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), COVID-19 epidemiological studies (9 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Modeling and Simulation (274 citations), Infectious Diseases (688 citations) and Health (119 citations). Katelijn Vandemaele has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Yuka Jinnai, Henry Laurenson‐Schafer, Finlay Campbell, Boris Pavlin, Maria D. Van Kerkhove, Thibaut Jombart, Olivier le Polain de Waroux, Oliver Morgan, Frank Konings and Brett N. Archer. Their work appears in journals such as PLoS ONE, Emerging infectious diseases and Bulletin of the World Health Organization.

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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