Annick Scholliers

711 total citations
11 papers, 500 citations indexed

About

Annick Scholliers is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Annick Scholliers has authored 11 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hepatology, 7 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Annick Scholliers's work include Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). Annick Scholliers is often cited by papers focused on Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (6 papers) and Liver Disease Diagnosis and Treatment (3 papers). Annick Scholliers collaborates with scholars based in United States, Belgium and Sweden. Annick Scholliers's co-authors include Gregory Fanning, Pierre Raboisson, Oliver Lenz, Kenneth Simmen, Tse‐I Lin, Katrien Vermeiren, Thierry Verbinnen, Herman de Kock, Lotta Vrang and Michael Edlund and has published in prestigious journals such as Hepatology, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Annick Scholliers

10 papers receiving 490 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Annick Scholliers United States 9 385 320 197 55 49 11 500
Jan Maarten Vrolijk Netherlands 14 368 1.0× 289 0.9× 74 0.4× 42 0.8× 63 1.3× 21 488
Yu-Ping Luong United States 8 429 1.1× 302 0.9× 218 1.1× 30 0.5× 103 2.1× 10 538
Michelle Irvin United States 11 583 1.5× 479 1.5× 305 1.5× 32 0.6× 54 1.1× 17 665
Sue Ma United States 8 540 1.4× 379 1.2× 230 1.2× 39 0.7× 201 4.1× 11 709
C. Sarrazin Germany 14 518 1.3× 522 1.6× 151 0.8× 42 0.8× 45 0.9× 83 637
Thierry Verbinnen Belgium 15 919 2.4× 841 2.6× 381 1.9× 59 1.1× 84 1.7× 39 1.0k
A Howe United States 15 878 2.3× 754 2.4× 434 2.2× 54 1.0× 87 1.8× 35 978
Dessislava I. Dimitrova United States 8 688 1.8× 588 1.8× 161 0.8× 74 1.3× 67 1.4× 11 775
Peter T. Nower United States 14 767 2.0× 598 1.9× 360 1.8× 58 1.1× 131 2.7× 20 901
Katrien Vermeiren Sweden 4 285 0.7× 222 0.7× 170 0.9× 27 0.5× 40 0.8× 5 346

Countries citing papers authored by Annick Scholliers

Since Specialization
Citations

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

Fields of papers citing papers by Annick Scholliers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annick Scholliers

This figure shows the co-authorship network connecting the top 25 collaborators of Annick Scholliers. A scholar is included among the top collaborators of Annick Scholliers 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 Annick Scholliers. Annick Scholliers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
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McGowan, David C., Florence Herschke, Frederik Pauwels, et al.. (2018). Design and synthesis of tetrahydropyridopyrimidine based Toll-Like Receptor (TLR) 7/8 dual agonists. Bioorganic & Medicinal Chemistry Letters. 28(19). 3216–3221. 11 indexed citations
3.
Pieters, Serge, David C. McGowan, Florence Herschke, et al.. (2018). Discovery of selective 2,4-diaminoquinazoline toll-like receptor 7 (TLR 7) agonists. Bioorganic & Medicinal Chemistry Letters. 28(4). 711–719. 9 indexed citations
4.
Johansson, S., Willem Talloen, Marianne Tuefferd, et al.. (2015). Plasma levels of growth‐related oncogene (CXCL1‐3) associated with fibrosis and platelet counts in HCV‐infected patients. Alimentary Pharmacology & Therapeutics. 42(9). 1111–1121. 18 indexed citations
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Darling, Jama M., Jeroen Aerssens, Gregory Fanning, et al.. (2010). Quantitation of pretreatment serum interferon-γ–inducible protein-10 improves the predictive value of an IL28B gene polymorphism for hepatitis C treatment response. Hepatology. 53(1). 14–22. 88 indexed citations
8.
Lenz, Oliver, Thierry Verbinnen, Tse‐I Lin, et al.. (2010). In Vitro Resistance Profile of the Hepatitis C Virus NS3/4A Protease Inhibitor TMC435. Antimicrobial Agents and Chemotherapy. 54(5). 1878–1887. 178 indexed citations
9.
Lin, Tse‐I, Oliver Lenz, Gregory Fanning, et al.. (2009). In Vitro Activity and Preclinical Profile of TMC435350, a Potent Hepatitis C Virus Protease Inhibitor. Antimicrobial Agents and Chemotherapy. 53(4). 1377–1385. 142 indexed citations
10.
Raboisson, Pierre, Oliver Lenz, Tse‐I Lin, et al.. (2007). Evaluation of the anti-hepatitis C virus effect of novel potent, selective, and orally bioavailable JNK and VEGFR kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 17(7). 1843–1849. 11 indexed citations
11.

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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