Jolanda J.C. Voermans

2.2k citations
26 papers · 785 indexed · h-index 11
Topics
SARS-CoV-2 and COVID-19 Research (5 papers)Hepatitis C virus research (5 papers)Viral gastroenteritis research and epidemiology (4 papers)
Partner nations
NetherlandsBelgiumQatar

In The Last Decade

Jolanda J.C. Voermans

26 papers receiving 765 citations

Peers

Jolanda J.C. Voermans
Comparison fields: 5 of 77
  • Infectious Diseases 450
  • Molecular Biology 188
  • Animal Science and Zoology 134
  • Epidemiology 132
  • Virology 86
Replace Runhong Zhou with:
Runhong Zhou China
Frank Mattes United Kingdom
Jeremy V. Camp Austria
Hiroko Miyamoto Japan
Sigrid Baumgarte Germany
Klaus Grywna Germany
Eveline Kindler Switzerland
Inge Thoelen Belgium
Sílvia Inês Sardi Brazil
Eric C. Mossel United States
Jolanda J.C. Voermans relative to Runhong Zhou China Runhong Zhou's profile →
Citations per field
00.5×1.6×
Runhong Zhou · 1×
Citations per year

Countries citing papers authored by Jolanda J.C. Voermans

Since Specialization
Citations

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

Fields of papers citing papers by Jolanda J.C. Voermans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jolanda J.C. Voermans. 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 Jolanda J.C. Voermans. The network helps show where Jolanda J.C. Voermans may publish in the future.

Co-authorship network of co-authors of Jolanda J.C. Voermans

This figure shows the co-authorship network connecting the top 25 collaborators of Jolanda J.C. Voermans. A scholar is included among the top collaborators of Jolanda J.C. Voermans 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 Jolanda J.C. Voermans. Jolanda J.C. Voermans 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 30
2 2
3 3
4 6
5 5
6 10
7 12
8 4
9 5
10 8
11 9
12 16
13 54
14 9
15 157
16 271
17 3
18 40
19 22
20 14

About Jolanda J.C. Voermans

Jolanda J.C. Voermans is a scholar working on Hepatology, Virology and Infectious Diseases, having authored 26 papers that have together received 785 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Hepatitis C virus research (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Infectious Diseases (450 citations), Virology (86 citations) and Modeling and Simulation (72 citations). Jolanda J.C. Voermans has collaborated with scholars based in Netherlands, Belgium and Qatar. Frequent co-authors include Suzan D. Pas, Martin Schutten, Ralph Stadhouders, Ted H. M. Mes, Marion Koopmans, Chantal Reusken, Saskia L. Smits, Ahmed M. El‐Sayed, Farhoud Alhajri and Salih Al-Marri. Their work appears in journals such as The Journal of Infectious Diseases, Frontiers in Immunology and Emerging infectious diseases.

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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