Joke Bilcke

3.4k citations
73 papers · 2.0k · h-index 27

Impact in

Papers in

    • Respiratory viral infections research 11
    • Influenza Virus Research Studies 10
    • Herpesvirus Infections and Treatments 10
    • Viral gastroenteritis research and epidemiology 16

Joke Bilcke

71 papers receiving 2.0k citations

Peers

Joke Bilcke
Comparison fields: 5 of 128
  • Infectious Diseases 682
  • Hepatology 194
  • Epidemiology 702
  • Modeling and Simulation 98
  • Animal Science and Zoology 173
Replace Changjun Bao with:
Changjun Bao China
Judith Koch Germany
Youngmee Jee South Korea
Giovanni Gabutti Italy
Weizhong Yang China
Cinzia Germinario Italy
Rosa Prato Italy
Anthony W. Mounts United States
Hajime Kamiya Japan
Ji Yun Noh South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Joke Bilcke

Since Specialization
Citations

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

Fields of papers citing papers by Joke Bilcke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009264
2 2017110
3 2015108
4 2011107
5 201595
6 201189
7 202073
8 201162
9 201255
10 200853
11 201452
12 200950
13 202144
14 201644
15 200944
16 201743
17 201942
18 201038
19 201335
20 202335

About Joke Bilcke

Joke Bilcke is a scholar working on Epidemiology, Infectious Diseases, Economics and Econometrics, Hepatology and Health, having authored 73 papers that have together received 2.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (16 papers), Respiratory viral infections research (11 papers), Influenza Virus Research Studies (10 papers), Herpesvirus Infections and Treatments (10 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Hepatitis Viruses Studies and Epidemiology (9 papers), Vaccine Coverage and Hesitancy (8 papers) and Viral Infections and Immunology Research (6 papers). The work is most often cited by research in Infectious Diseases (682 citations), Hepatology (194 citations), Epidemiology (702 citations), Modeling and Simulation (98 citations) and Animal Science and Zoology (173 citations). Joke Bilcke has collaborated with scholars based in Belgium, United States and Uganda. Frequent co-authors include Philippe Beutels, Pierre Van Damme, Mark Jit, Lander Willem, Niel Hens, Marc Van Ranst, Marina Antillón, Mark Zeller, Jelle Matthijnssens and Marc Brisson. Their work appears in journals such as Vaccine, Medical Decision Making, PharmacoEconomics, BMC Medicine and PLoS ONE.

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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