Greet Beelaert

35 total papers · 615 total citations
27 papers, 448 citations indexed

About

Greet Beelaert is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Greet Beelaert has authored 27 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 16 papers in Virology and 7 papers in Epidemiology. Recurrent topics in Greet Beelaert's work include HIV Research and Treatment (16 papers), HIV/AIDS Research and Interventions (14 papers) and HIV/AIDS drug development and treatment (9 papers). Greet Beelaert is often cited by papers focused on HIV Research and Treatment (16 papers), HIV/AIDS Research and Interventions (14 papers) and HIV/AIDS drug development and treatment (9 papers). Greet Beelaert collaborates with scholars based in Belgium, Uganda and Democratic Republic of the Congo. Greet Beelaert's co-authors include Katrien Fransen, Guido van der Groen, G. Vercauteren, Lut Van Damme, Tania Crucitti, Ilse Maes, Anne Buvé, Médard Ilunga, Cara Kosack and Dieudonné Mumba Ngoyi and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Clinical Chemistry.

In The Last Decade

Greet Beelaert

27 papers receiving 441 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Greet Beelaert	354	254	185	37	32	27	448
Ebi Bilé	406 1.1×	318 1.3×	137 0.7×	39 1.1×	24 0.8×	24	511
Mireille Kalou	338 1.0×	258 1.0×	171 0.9×	39 1.1×	21 0.7×	20	451
Teri Dowling	375 1.1×	222 0.9×	262 1.4×	19 0.5×	49 1.5×	12	432
Wilfred Emonyi	390 1.1×	287 1.1×	138 0.7×	42 1.1×	50 1.6×	24	524
Tuti Parwati Merati	332 0.9×	142 0.6×	197 1.1×	31 0.8×	41 1.3×	40	488
Guido Palamara	263 0.7×	198 0.8×	296 1.6×	17 0.5×	23 0.7×	27	548
T. J. Dondero	301 0.9×	179 0.7×	162 0.9×	33 0.9×	20 0.6×	20	410
Sal Butera	353 1.0×	320 1.3×	219 1.2×	32 0.9×	66 2.1×	14	542
Nilesh Bhatt	304 0.9×	94 0.4×	229 1.2×	34 0.9×	13 0.4×	51	548
Valentine Marie Ferré	292 0.8×	109 0.4×	119 0.6×	32 0.9×	17 0.5×	48	487

Countries citing papers authored by Greet Beelaert

Since Specialization

Citations

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

Fields of papers citing papers by Greet Beelaert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greet Beelaert

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

All Works

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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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