Debby van Riel

11.6k citations
84 papers · 6.9k indexed · 3 hit papers · h-index 36
Topics
Influenza Virus Research Studies (49 papers)Respiratory viral infections research (35 papers)Animal Disease Management and Epidemiology (22 papers)

In The Last Decade

Debby van Riel

82 papers receiving 6.7k citations

Hit Papers

A Novel Coronavirus Emer...2006202620122019202020062022250500750

Peers

Debby van Riel
Comparison fields: 5 of 162
  • Epidemiology 3.9k
  • Infectious Diseases 3.4k
  • Agronomy and Crop Science 1.6k
  • Immunology 1.2k
  • Molecular Biology 689
Replace William Barclay with:
William Barclay United Kingdom
Gaston De Serres Canada
Ayato Takada Japan
Randy A. Albrecht United States
Benjamin R. tenOever United States
Stacey Schultz‐Cherry United States
Andrew Pekosz United States
Geert van Amerongen Netherlands
Ilkka Julkunen Finland
Christian Devaux France
Debby van Riel relative to William Barclay United Kingdom William Barclay's profile →
Citations per field
00.5×1.5×
William Barclay · 1×
Citations per year

Countries citing papers authored by Debby van Riel

Since Specialization
Citations

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

Fields of papers citing papers by Debby van Riel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debby van Riel. 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 Debby van Riel. The network helps show where Debby van Riel may publish in the future.

Co-authorship network of co-authors of Debby van Riel

This figure shows the co-authorship network connecting the top 25 collaborators of Debby van Riel. A scholar is included among the top collaborators of Debby van Riel 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 Debby van Riel. Debby van Riel 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
#WorkIndexed citations
1 0
2 3
3 20
4 8
5 7
6 10
7 42
8 11
9 141
10 50
11 11
12 25
13
The pattern of influenza virus attachment varies among wild bird species
1
14 32
15 139
16
H5N1 Virus Attachment to Lower Respiratory Tractbreakdown →
518
17 99
18 13
19 298
20 8

About Debby van Riel

Debby van Riel is a scholar working on Infectious Diseases, Agronomy and Crop Science and Epidemiology, having authored 84 papers that have together received 6.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (49 papers), Respiratory viral infections research (35 papers) and Animal Disease Management and Epidemiology (22 papers). The work is most often cited by research in Infectious Diseases (3.4k citations), Agronomy and Crop Science (1.6k citations) and Epidemiology (3.9k citations). Debby van Riel has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Thijs Kuiken, Emmie de Wit, Ron A. M. Fouchier, Albert D. M. E. Osterhaus, Vincent J. Munster, Guus F. Rimmelzwaan, Marion Koopmans, Neeltje van Doremalen, Geert van Amerongen and Robert M. Verdijk. Their work appears in journals such as Science, New England Journal of Medicine and Cell.

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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