Bénédicte Machiels

55 total papers · 874 total citations
30 papers, 636 citations indexed

About

Bénédicte Machiels is a scholar working on Epidemiology, Oncology and Immunology. According to data from OpenAlex, Bénédicte Machiels has authored 30 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 11 papers in Oncology and 9 papers in Immunology. Recurrent topics in Bénédicte Machiels's work include Herpesvirus Infections and Treatments (15 papers), Cytomegalovirus and herpesvirus research (15 papers) and Viral-associated cancers and disorders (10 papers). Bénédicte Machiels is often cited by papers focused on Herpesvirus Infections and Treatments (15 papers), Cytomegalovirus and herpesvirus research (15 papers) and Viral-associated cancers and disorders (10 papers). Bénédicte Machiels collaborates with scholars based in Belgium, United Kingdom and Netherlands. Bénédicte Machiels's co-authors include Laurent Gillet, Alain Vanderplasschen, Jan Mast, Benjamin G Dewals, Justine Javaux, Philip G. Stevenson, Xue Xiao, François Lallemand, Philippe Martinive and Claire Mesnil and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nano Letters.

In The Last Decade

Bénédicte Machiels

29 papers receiving 619 citations

Author Peers

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

Author						Papers	Cites
Bénédicte Machiels	248	202	128	111	83	30	636
Robert Keller	232 0.9×	182 0.9×	105 0.8×	104 0.9×	75 0.9×	44	716
Roland Elling	161 0.6×	136 0.7×	262 2.0×	166 1.5×	100 1.2×	30	767
Ysolina M. Centifanto	128 0.5×	386 1.9×	89 0.7×	83 0.7×	57 0.7×	36	793
Ryan D. Estep	164 0.7×	298 1.5×	198 1.5×	142 1.3×	75 0.9×	23	577
W. E. Giddens	113 0.5×	192 1.0×	75 0.6×	66 0.6×	70 0.8×	35	564
Xibing Che	195 0.8×	371 1.8×	114 0.9×	53 0.5×	41 0.5×	24	659
Thomas McCarty	219 0.9×	264 1.3×	245 1.9×	69 0.6×	211 2.5×	22	759
Jerry W. Smith	200 0.8×	322 1.6×	193 1.5×	59 0.5×	63 0.8×	39	652
John Lyle	120 0.5×	233 1.2×	222 1.7×	88 0.8×	105 1.3×	15	565
Kayoko Waki	146 0.6×	132 0.7×	235 1.8×	105 0.9×	152 1.8×	26	715

Countries citing papers authored by Bénédicte Machiels

Since Specialization

Citations

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

Fields of papers citing papers by Bénédicte Machiels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bénédicte Machiels

This figure shows the co-authorship network connecting the top 25 collaborators of Bénédicte Machiels. A scholar is included among the top collaborators of Bénédicte Machiels 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 Bénédicte Machiels. Bénédicte Machiels 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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