Don Klinkenberg

88 papers receiving 6.1k citations

Don Klinkenberg's Hit Papers

How will country-based mitigation measures influence the course of the COVID-19 epidemic? 2020 · 2.6k citations
2.6k0+2+4Years since publication5001k1.5k2k2.5k

Peers

Don Klinkenberg
Comparison fields: 5 of 178
  • Modeling and Simulation 1.7k
  • General Dentistry 111
  • Infectious Diseases 785
  • Agronomy and Crop Science 450
  • Microbiology 186
Replace William C. Weldon with:
William C. Weldon United States
Mark A. Pallansch United States
Jacco Wallinga Netherlands
Alex Richard Cook Singapore
Claudio José Struchiner Brazil
Nijuan Xiang China
Yashpal Singh Malik India
Nuno Rodrigues Faria United Kingdom
Simon Cauchemez France
Graham Francis Medley United Kingdom
Don Klinkenberg relative to William C. Weldon United States William C. Weldon's profile →
Citations per field
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Citations per year

Countries citing papers authored by Don Klinkenberg

Since Specialization
Citations

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

Fields of papers citing papers by Don Klinkenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Don Klinkenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Don Klinkenberg Line = papers co-authored together Don Klinkenberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How will country-based mitigation measures influence the course of the COVID-19 epidemic?
Hit paper breakdown →
20202579
2
Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20–28 January 2020
Hit paper breakdown →
20201117
3 2006200
4 1999124
5 2009123
6 2011109
7 200996
8 201787
9 201381
10 200878
11 200276
12 201473
13 200168
14 201168
15 202167
16 200560
17 201159
18 200149
19 201245
20 200944

About Don Klinkenberg

Don Klinkenberg is a scholar working on Modeling and Simulation, Agronomy and Crop Science, Epidemiology, Microbiology and Infectious Diseases, having authored 89 papers that have together received 6.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (15 papers), Animal Disease Management and Epidemiology (15 papers), Influenza Virus Research Studies (13 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Salmonella and Campylobacter epidemiology (9 papers), Microbial infections and disease research (8 papers), Coccidia and coccidiosis research (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Modeling and Simulation (1.7k citations), General Dentistry (111 citations), Infectious Diseases (785 citations), Agronomy and Crop Science (450 citations) and Microbiology (186 citations). Don Klinkenberg has collaborated with scholars based in Netherlands, United Kingdom and Japan. Frequent co-authors include Hans Heesterbeek, T. Déirdre Hollingsworth, Roy Malcolm Anderson, Jantien A. Backer, Jacco Wallinga, Arjan Stegeman, A. Bouma, Christophe Fraser, Hiroshi Nishiura and M.C.M. de Jong. Their work appears in journals such as Veterinary Research, PLoS ONE, Preventive Veterinary Medicine, PLoS Computational Biology and Eurosurveillance.

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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