Noémie Labas

31 total papers · 497 total citations
26 papers, 362 citations indexed

About

Noémie Labas is a scholar working on Molecular Biology, Clinical Biochemistry and Ecology. According to data from OpenAlex, Noémie Labas has authored 26 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Clinical Biochemistry and 5 papers in Ecology. Recurrent topics in Noémie Labas's work include Genomics and Phylogenetic Studies (17 papers), Gut microbiota and health (8 papers) and Bacterial Identification and Susceptibility Testing (6 papers). Noémie Labas is often cited by papers focused on Genomics and Phylogenetic Studies (17 papers), Gut microbiota and health (8 papers) and Bacterial Identification and Susceptibility Testing (6 papers). Noémie Labas collaborates with scholars based in France, Saudi Arabia and Senegal. Noémie Labas's co-authors include Didier Raoult, Pierre‐Edouard Fournier, Nicholas Armstrong, Matthieu Million, Awa Diop, S. Khelaifia, Mame Codou Guèye, Jérémy Delerce, Bernard La Scola and Oleg Mediannikov and has published in prestigious journals such as Frontiers in Microbiology, Viruses and Antonie van Leeuwenhoek.

In The Last Decade

Noémie Labas

26 papers receiving 362 citations

Author Peers

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

Author						Papers	Cites
Noémie Labas	187	84	80	58	47	26	362
L Calegari	125 0.7×	50 0.6×	122 1.5×	44 0.8×	59 1.3×	25	393
Mamadou Beye	142 0.8×	48 0.6×	87 1.1×	43 0.7×	51 1.1×	36	295
Kenneth F. Keller	136 0.7×	53 0.6×	52 0.7×	22 0.4×	42 0.9×	21	363
Josephine Grützke	126 0.7×	83 1.0×	107 1.3×	26 0.4×	79 1.7×	17	396
Angelica Bianco	190 1.0×	37 0.4×	68 0.8×	56 1.0×	19 0.4×	28	342
Weifeng Zhu	93 0.5×	47 0.6×	69 0.9×	27 0.5×	33 0.7×	34	388
Daniel Jaén‐Luchoro	149 0.8×	53 0.6×	55 0.7×	59 1.0×	60 1.3×	35	363
Vincent Montoya	123 0.7×	59 0.7×	113 1.4×	32 0.6×	128 2.7×	18	369
Bavo Verhaegen	141 0.8×	90 1.1×	106 1.3×	39 0.7×	47 1.0×	29	347
Maarten J. Gilbert	120 0.6×	80 1.0×	105 1.3×	25 0.4×	47 1.0×	22	403

Countries citing papers authored by Noémie Labas

Since Specialization

Citations

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

Fields of papers citing papers by Noémie Labas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noémie Labas

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