Greet Beets

541 total citations
8 papers, 430 citations indexed

About

Greet Beets is a scholar working on Infectious Diseases, Virology and Hepatology. According to data from OpenAlex, Greet Beets has authored 8 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Virology and 4 papers in Hepatology. Recurrent topics in Greet Beets's work include Hepatitis C virus research (4 papers), HIV Research and Treatment (4 papers) and HIV/AIDS drug development and treatment (4 papers). Greet Beets is often cited by papers focused on Hepatitis C virus research (4 papers), HIV Research and Treatment (4 papers) and HIV/AIDS drug development and treatment (4 papers). Greet Beets collaborates with scholars based in United States, Belgium and United Kingdom. Greet Beets's co-authors include Goedele De Smedt, Monika Peeters, Brian Woodfall, Bonaventura Clotet, Johan Vingerhoets, Rekha Sinha, Christine Katlama, Thomas Campbell, A Moll and Benoît Trottier and has published in prestigious journals such as The Lancet, Journal of Hepatology and JAIDS Journal of Acquired Immune Deficiency Syndromes.

In The Last Decade

Greet Beets

7 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greet Beets United States 6 364 298 123 60 40 8 430
Ian McGowan United States 6 464 1.3× 362 1.2× 108 0.9× 25 0.4× 41 1.0× 11 492
Werner Verbiest Canada 8 540 1.5× 511 1.7× 59 0.5× 34 0.6× 27 0.7× 12 576
Bill Guyer United States 8 417 1.1× 320 1.1× 71 0.6× 20 0.3× 33 0.8× 11 445
María José Rolón Argentina 9 288 0.8× 180 0.6× 110 0.9× 34 0.6× 32 0.8× 28 349
Maria Pia De Pasquale Italy 9 284 0.8× 231 0.8× 66 0.5× 17 0.3× 21 0.5× 12 343
Sung‐Hsi Huang Taiwan 11 201 0.6× 81 0.3× 138 1.1× 76 1.3× 24 0.6× 34 301
Jeanette Harris United States 12 467 1.3× 301 1.0× 211 1.7× 156 2.6× 42 1.1× 15 553
Punneeporn Wasinrapee Thailand 10 215 0.6× 169 0.6× 144 1.2× 35 0.6× 13 0.3× 15 291
Maria Christine Thurnheer Switzerland 8 150 0.4× 60 0.2× 142 1.2× 64 1.1× 38 0.9× 16 304
Homayoon Khanlou United States 8 525 1.4× 374 1.3× 110 0.9× 38 0.6× 59 1.5× 16 616

Countries citing papers authored by Greet Beets

Since Specialization
Citations

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

Fields of papers citing papers by Greet Beets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greet Beets

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

All Works

8 of 8 papers shown
1.
Lawitz, Eric, Fred Poordad, Julio Gutiérrez, et al.. (2020). Simeprevir, daclatasvir, and sofosbuvir for hepatitis C virus‐infected patients: Long‐term follow‐up results from the open‐label, Phase II IMPACT study. Health Science Reports. 3(2). e145–e145. 5 indexed citations
2.
Lawitz, Eric, Fred Poordad, Julio Gutiérrez, et al.. (2016). Simeprevir, daclatasvir and sofosbuvir for hepatitis C virus‐infected patients with decompensated liver disease. Journal of Viral Hepatitis. 24(4). 287–294. 22 indexed citations
4.
Kakuda, Thomas N., Cassy Workman, Keikawus Arastéh, et al.. (2008). Single- and multiple-dose pharmacokinetics of etravirine administered as two different formulations in HIV-1-infected patients. Antiviral Therapy. 13(5). 655–661. 27 indexed citations
5.
Haubrich, Richard, Joseph J. Eron, Melanie Thompson, et al.. (2008). Reduction in AIDS defining events/deaths with etravirine (ETR; TMC125) compared to placebo: pooled DUET 48-week results. Journal of the International AIDS Society. 11(Suppl 1). P27–P27.
6.
Clumeck, Nathan, Bonaventura Clotet, MA Johnson, et al.. (2008). Virological response with fully active etravirine (ETR; TMC125) after 48 weeks of treatment: pooled results from the DUET-1 and DUET-2 trials. Journal of the International AIDS Society. 11(Suppl 1). P23–P23. 2 indexed citations
7.
Lazzarin, Adriano, Thomas Campbell, Bonaventura Clotet, et al.. (2007). Efficacy and safety of TMC125 (etravirine) in treatment-experienced HIV-1-infected patients in DUET-2: 24-week results from a randomised, double-blind, placebo-controlled trial. The Lancet. 370(9581). 39–48. 315 indexed citations
8.
Jespers, Vicky, et al.. (2006). Dose-Ranging Phase 1 Study of TMC120, a Promising Vaginal Microbicide, in HIV-Negative and HIV-Positive Female Volunteers. JAIDS Journal of Acquired Immune Deficiency Syndromes. 44(2). 154–158. 49 indexed citations

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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