Leen Vijgen

4.5k citations
62 papers · 3.1k indexed · h-index 23

Leen Vijgen

61 papers receiving 3.0k citations

Peers

Leen Vijgen
Comparison fields: 5 of 128
  • Infectious Diseases 2.0k
  • Hepatology 631
  • Animal Science and Zoology 573
  • Epidemiology 936
  • Modeling and Simulation 85
Replace Sunil K. Lal with:
Sunil K. Lal India
Sandrine Belouzard France
Ming‐Fu Chang Taiwan
Weijin Huang China
Jean‐François Rossignol United States
Ronald Dijkman Switzerland
Isabelle Imbert France
Swee Kee Wong United States
Anton Andonov Canada
Yousuke Furuta Japan
Leen Vijgen relative to Sunil K. Lal India Sunil K. Lal's profile →
Citations per field
00.5×1.5×
Sunil K. Lal · 1×
Citations per year

Countries citing papers authored by Leen Vijgen

Since Specialization
Citations

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

Fields of papers citing papers by Leen Vijgen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20239
3 20205
4 20203
5 20188
6 20176
7 20135
8 201269
9
TMC435 IN COMBINATION WITH PEGINTERFERON ALPHA-2A/RIBAVIRIN IN TREATMENT-NAiVE PATIENTS INFECTED WITH HCV GENOTYPE 1: VIROLOGY ANALYSIS OF THE PILLAR STUDY
20118
10 200865
11 2007228
12 200561
13 2005133
14 200567
15 200518
16
Inhibitory activity of vancomycin, eremomycin and teicoplanin aglycon derivatives against feline and human coronaviruses (i.e. SARS)
20044
17
Mannose-specific plant lectins are potent inhibitors of coronavirus infection including the virus causing SARS
20047
18 20041
19 20034
20 200225

About Leen Vijgen

Leen Vijgen is a scholar working on Hepatology, Infectious Diseases and Animal Science and Zoology, having authored 62 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (33 papers), HIV/AIDS drug development and treatment (14 papers), Viral gastroenteritis research and epidemiology (13 papers), Liver Disease Diagnosis and Treatment (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Animal Virus Infections Studies (11 papers), Hepatitis B Virus Studies (11 papers) and Respiratory viral infections research (6 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Hepatology (631 citations) and Animal Science and Zoology (573 citations). Leen Vijgen has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Marc Van Ranst, Els Keyaerts, Piet Maes, Johan Neyts, Elien Moës, Philippe Lemey, Sandra Li, Anne–Mieke Vandamme, Inge Thoelen and Elke Wollants. Their work appears in journals such as Gastroenterology, PLoS ONE and Hepatology.

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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