M. Bureau

36 total papers · 804 total citations
19 papers, 450 citations indexed

About

M. Bureau is a scholar working on Biotechnology, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, M. Bureau has authored 19 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biotechnology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Biomedical Engineering. Recurrent topics in M. Bureau's work include Microbial Inactivation Methods (7 papers), Microfluidic and Bio-sensing Technologies (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). M. Bureau is often cited by papers focused on Microbial Inactivation Methods (7 papers), Microfluidic and Bio-sensing Technologies (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). M. Bureau collaborates with scholars based in France and Denmark. M. Bureau's co-authors include Daniel Scherman, Lluis M. Mir, Virginie Deleuze, Julie Gehl, Christophe Georger, P. Delaère, J. C. Healy, M. Joly, Souâd Naimi and Francis Blanche and has published in prestigious journals such as Journal of Applied Physiology, Journal of Controlled Release and Biochimica et Biophysica Acta (BBA) - General Subjects.

In The Last Decade

M. Bureau

19 papers receiving 432 citations

Author Peers

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

Author						Papers	Cites
M. Bureau	221	169	142	70	56	19	450
Gaoju Pang	158 0.7×	173 1.0×	251 1.8×	54 0.8×	25 0.4×	23	486
Xinjing Guo	87 0.4×	158 0.9×	264 1.9×	101 1.4×	27 0.5×	15	537
Theresa E. Pancotto	184 0.8×	58 0.3×	157 1.1×	45 0.6×	71 1.3×	21	454
Cătălin Ţucureanu	92 0.4×	133 0.8×	80 0.6×	92 1.3×	11 0.2×	32	496
Nina Klein	174 0.8×	107 0.6×	160 1.1×	47 0.7×	23 0.4×	27	528
Tae-Yeon Kim	32 0.1×	149 0.9×	43 0.3×	29 0.4×	42 0.8×	32	432
Lianyue Li	156 0.7×	122 0.7×	225 1.6×	20 0.3×	17 0.3×	22	523
Lixin Xu	47 0.2×	253 1.5×	60 0.4×	31 0.4×	38 0.7×	17	408
Alessandra Rossi	61 0.3×	181 1.1×	49 0.3×	98 1.4×	33 0.6×	30	488
Nadine Krämer	66 0.3×	184 1.1×	59 0.4×	36 0.5×	34 0.6×	23	528

Countries citing papers authored by M. Bureau

Since Specialization

Citations

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

Fields of papers citing papers by M. Bureau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Bureau

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