Annemiek A. van der Eijk

7.4k citations
95 papers · 2.8k indexed · h-index 28

Annemiek A. van der Eijk

92 papers receiving 2.8k citations

Peers

Annemiek A. van der Eijk
Comparison fields: 5 of 113
  • Hepatology 1.4k
  • Infectious Diseases 1.3k
  • Epidemiology 974
  • Modeling and Simulation 58
  • Animal Science and Zoology 117
Replace Marc Lütgehetmann with:
Marc Lütgehetmann Germany
Janke Schinkel Netherlands
J E Banatvala United Kingdom
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Gláucia Paranhos‐Baccalà France
Sally A. Baylis Germany
Judith H. Aberle Austria
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Annemiek A. van der Eijk relative to Marc Lütgehetmann Germany Marc Lütgehetmann's profile →
Citations per field
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Marc Lütgehetmann · 1×
Citations per year

Countries citing papers authored by Annemiek A. van der Eijk

Since Specialization
Citations

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

Fields of papers citing papers by Annemiek A. van der Eijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annemiek A. van der Eijk. 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 Annemiek A. van der Eijk. The network helps show where Annemiek A. van der Eijk may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Annemiek A. van der Eijk, 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 Annemiek A. van der Eijk Line = papers co-authored together Annemiek A. van der Eijk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202311
2
From more testing to smart testing:data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020
20227
3 20228
4 20220
5 202119
6 202014
7 20205
8 2020231
9 20205
10 201918
11
[Guillain-Barré syndrome following infection with the Zika virus].
20183
12 201646
13 201610
14 201624
15 20169
16 2016161
17
Hepatitis E in Europe: Diagnosis and Treatment
20151
18 201517
19 2012130
20 201255

About Annemiek A. van der Eijk

Annemiek A. van der Eijk is a scholar working on Hepatology, Infectious Diseases and Epidemiology, having authored 95 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (31 papers), Hepatitis C virus research (30 papers), Hepatitis Viruses Studies and Epidemiology (27 papers), Liver Disease and Transplantation (16 papers), Viral gastroenteritis research and epidemiology (16 papers), Liver Disease Diagnosis and Treatment (16 papers), Cytomegalovirus and herpesvirus research (11 papers) and Liver Diseases and Immunity (8 papers). The work is most often cited by research in Hepatology (1.4k citations), Infectious Diseases (1.3k citations) and Epidemiology (974 citations). Annemiek A. van der Eijk has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Suzan D. Pas, Robert A. de Man, Marion Koopmans, Albert D. M. E. Osterhaus, Bart C. Jacobs, Bettina E. Hansen, Harry L.A. Janssen, Harry R. Dalton, R.G. Madden and J.G. Hunter. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

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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