Ronald Dijkman

9.2k citations
73 papers · 4.9k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Ronald Dijkman

67 papers receiving 4.8k citations

Hit Papers

Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMC 2013 · 1.5k citations
1.5k201320262017202150010001.5k

Peers

Ronald Dijkman
Comparison fields: 5 of 139
  • Infectious Diseases 3.6k
  • Animal Science and Zoology 1.0k
  • General Dentistry 100
  • Modeling and Simulation 234
  • Epidemiology 969
Replace Krzysztof Pyrć with:
Krzysztof Pyrć Poland
Alexander Lai United States
Shutoku Matsuyama Japan
Darryl Falzarano Canada
Doreen Muth Germany
Maarten F. Jebbink Netherlands
Markus Eickmann Germany
Xing‐Yi Ge China
Kin‐Hang Kok Hong Kong
Andrea Marzi United States
Ronald Dijkman relative to Krzysztof Pyrć Poland Krzysztof Pyrć's profile →
Citations per field
00.5×1.5×2.2×
Krzysztof Pyrć · 1×
Citations per year

Countries citing papers authored by Ronald Dijkman

Since Specialization
Citations

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

Fields of papers citing papers by Ronald Dijkman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ronald Dijkman, 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 Ronald Dijkman Line = papers co-authored together Ronald Dijkman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20239
4 20230
5 202213
6 202115
7 20213
8 202011
9 20202
10 20203
11 201825
12 201854
13 2017158
14 201668
15 201539
16 2014133
17
Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMC
Hit paper breakdown →
20131530
18 2011128
19 2010101
20 200941

About Ronald Dijkman

Ronald Dijkman is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Microbiology and Hepatology, having authored 73 papers that have together received 4.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (34 papers), Respiratory viral infections research (21 papers), Animal Virus Infections Studies (18 papers), Influenza Virus Research Studies (14 papers), Viral gastroenteritis research and epidemiology (13 papers), COVID-19 Clinical Research Studies (10 papers), interferon and immune responses (8 papers) and Viral Infections and Immunology Research (7 papers). The work is most often cited by research in Infectious Diseases (3.6k citations), Animal Science and Zoology (1.0k citations), General Dentistry (100 citations), Modeling and Simulation (234 citations) and Epidemiology (969 citations). Ronald Dijkman has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Volker Thiel, Lia van der Hoek, Christian Drosten, Marcel A. Müller, Maarten F. Jebbink, Doreen Muth, Peter J. M. Rottier, Berend‐Jan Bosch, Ron A. M. Fouchier and Bart L. Haagmans. Their work appears in journals such as Journal of Virology, Viruses, Scientific Reports, Journal of Clinical Virology and Nature Communications.

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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