Anne-Marie Bernier

33 total papers · 579 total citations
28 papers, 422 citations indexed

About

Anne-Marie Bernier is a scholar working on Molecular Biology, Epidemiology and Endocrinology. According to data from OpenAlex, Anne-Marie Bernier has authored 28 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Epidemiology and 9 papers in Endocrinology. Recurrent topics in Anne-Marie Bernier's work include Genomics and Phylogenetic Studies (13 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Diphtheria, Corynebacterium, and Tetanus (6 papers). Anne-Marie Bernier is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Diphtheria, Corynebacterium, and Tetanus (6 papers). Anne-Marie Bernier collaborates with scholars based in Canada, Switzerland and United States. Anne-Marie Bernier's co-authors include Mathias K. Oulé, Tano Kablan, N. K. Howes, Kathryn Bernard, Tamara Burdz, Deborah J. Wiebe, Joseph Arul, Michael H. Dickman, Danielle de Moissac and R. E. Knox and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, International Journal of Food Microbiology and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

Anne-Marie Bernier

28 papers receiving 397 citations

Author Peers

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

Author						Papers	Cites
Anne-Marie Bernier	146	129	63	51	38	28	422
Sherif M. Elnagdy	61 0.4×	139 1.1×	40 0.6×	55 1.1×	15 0.4×	29	462
Mona T. Kashef	57 0.4×	171 1.3×	45 0.7×	51 1.0×	44 1.2×	32	455
Paulina Żarnowiec	44 0.3×	174 1.3×	64 1.0×	34 0.7×	30 0.8×	23	488
M Hashemi	51 0.3×	154 1.2×	35 0.6×	119 2.3×	30 0.8×	23	470
Charlotte E. Boucher	70 0.5×	161 1.2×	24 0.4×	102 2.0×	28 0.7×	24	457
Olena Moshynets	43 0.3×	231 1.8×	72 1.1×	25 0.5×	22 0.6×	45	402
Alwar Ramanujam Padmavathi	41 0.3×	156 1.2×	46 0.7×	21 0.4×	46 1.2×	15	454
Lesley Galbraith	117 0.8×	234 1.8×	86 1.4×	17 0.3×	21 0.6×	23	426
Rosa Giugliano	35 0.2×	170 1.3×	29 0.5×	83 1.6×	47 1.2×	29	411
Raees Khan	51 0.3×	147 1.1×	142 2.3×	30 0.6×	8 0.2×	28	427

Countries citing papers authored by Anne-Marie Bernier

Since Specialization

Citations

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

Fields of papers citing papers by Anne-Marie Bernier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne-Marie Bernier. 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 Anne-Marie Bernier. The network helps show where Anne-Marie Bernier may publish in the future.

Co-authorship network of co-authors of Anne-Marie Bernier

This figure shows the co-authorship network connecting the top 25 collaborators of Anne-Marie Bernier. A scholar is included among the top collaborators of Anne-Marie Bernier 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 Anne-Marie Bernier. Anne-Marie Bernier 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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