V. Faber

1.3k total citations
37 papers, 914 citations indexed

About

V. Faber is a scholar working on Epidemiology, Immunology and Hepatology. According to data from OpenAlex, V. Faber has authored 37 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 10 papers in Immunology and 8 papers in Hepatology. Recurrent topics in V. Faber's work include HIV Research and Treatment (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Hepatitis C virus research (4 papers). V. Faber is often cited by papers focused on HIV Research and Treatment (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Hepatitis C virus research (4 papers). V. Faber collaborates with scholars based in Denmark, Germany and United States. V. Faber's co-authors include A. Kharazmi, P Elling, Henrik Nielsen, Per Christoffersen, Jens Nielsen, O. Dietrichson, K Iversen, Helle Harding Poulsen, E Juhl and Pelle Baggesgaard Petersen and has published in prestigious journals such as New England Journal of Medicine, The Lancet and The Journal of Immunology.

In The Last Decade

V. Faber

36 papers receiving 812 citations

Peers

V. Faber
Comparison fields: 5 of 91
  • Epidemiology 374
  • Virology 239
  • Immunology 213
  • Infectious Diseases 191
  • Hepatology 162
Replace William Margaretten with:
William Margaretten United States
D. Torre Italy
M Lamy Belgium
Ikuko Kobayashi Japan
Vincent Aubert Switzerland
Enrico Schiaffella Italy
Marian C. Aldhous United Kingdom
Kunihisa Tsukada Japan
Gerber Ma United States
R. Rowland Australia
William Margaretten United States View profile →
Citations per field, relative to V. Faber
V. Faber · 1×
Citations per year, relative to V. Faber
V. Faber · 1×

Countries citing papers authored by V. Faber

Since Specialization
Citations

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

Fields of papers citing papers by V. Faber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Faber

This figure shows the co-authorship network connecting the top 25 collaborators of V. Faber. A scholar is included among the top collaborators of V. Faber 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 V. Faber. V. Faber 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
# Work Indexed citations
1 0
2
Cell-associated proteoheparan sulfate mediates binding and uptake of thrombospondin in cultured porcine vascular endothelial cells.
19
3 3
4 6
5 25
6 28
7 7
8 127
9 75
10 4
11 25
12 9
13 21
14 17
15 17
16 7
17 19
18 50
19 30
20
Anti-streptococcal-hyaluronidase. III. The turbidimetric determination of anti-streptococcal-hyaluronidase (ASH) in sera from patients with rheumatic fever, glomerulonephritis, tonsillitis and rheumatoid arthritis.
3

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026