Philippe Lemay

683 total citations
9 papers, 162 citations indexed

About

Philippe Lemay is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Surgery. According to data from OpenAlex, Philippe Lemay has authored 9 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Pediatrics, Perinatology and Child Health and 2 papers in Surgery. Recurrent topics in Philippe Lemay's work include Prenatal Screening and Diagnostics (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Alzheimer's disease research and treatments (2 papers). Philippe Lemay is often cited by papers focused on Prenatal Screening and Diagnostics (3 papers), Genomic variations and chromosomal abnormalities (3 papers) and Alzheimer's disease research and treatments (2 papers). Philippe Lemay collaborates with scholars based in Canada, Italy and United Kingdom. Philippe Lemay's co-authors include Guy A. Rouleau, Zoha Kibar, Alexandre Dionne‐Laporte, Dan Spiegelman, Patrizia De Marco, Elisa Merello, Valeria Capra, Jacques L. Michaud, Édouard Henrion and Ousmane Diallo and has published in prestigious journals such as PLoS ONE, Journal of Medical Genetics and Journal of Neuroinflammation.

In The Last Decade

Philippe Lemay

9 papers receiving 157 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Philippe Lemay Canada	7	75	53	52	42	40	9	162
Hatice Mutlu Albayrak Türkiye	7	67 0.9×	41 0.8×	31 0.6×	14 0.3×	13 0.3×	26	147
Gyri Aasland Gradek Norway	5	58 0.8×	76 1.4×	32 0.6×	11 0.3×	16 0.4×	5	151
Kentaro Mochizuki Japan	12	239 3.2×	70 1.3×	36 0.7×	18 0.4×	33 0.8×	15	299
Carmen Esmer Mexico	5	116 1.5×	157 3.0×	33 0.6×	10 0.2×	10 0.3×	16	225
Zandrè Bruwer Oman	7	52 0.7×	52 1.0×	24 0.5×	9 0.2×	16 0.4×	19	149
Rani Sachdev Australia	7	137 1.8×	110 2.1×	30 0.6×	20 0.5×	5 0.1×	26	237
Margaux L.A. Hujoel United States	10	81 1.1×	139 2.6×	20 0.4×	15 0.4×	8 0.2×	18	247
Juliette Dupont Portugal	7	67 0.9×	85 1.6×	16 0.3×	44 1.0×	11 0.3×	17	172
CATHERINE A. EGLI United States	5	106 1.4×	66 1.2×	22 0.4×	7 0.2×	20 0.5×	7	267
Susanne Blichfeldt Denmark	7	140 1.9×	269 5.1×	96 1.8×	51 1.2×	10 0.3×	15	345

Countries citing papers authored by Philippe Lemay

Since Specialization

Citations

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

Fields of papers citing papers by Philippe Lemay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Lemay

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

All Works

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9 of 9 papers shown

Yu, Lei, Philippe Lemay, Morgan Jones, et al.. (2021). A new murine Rpl5 ( uL18 ) mutation provides a unique model of variably penetrant Diamond-Blackfan anemia. Blood Advances. 5(20). 4167–4178. 3 indexed citations

Lemay, Philippe, Susan P. Knowler, Karen Kennedy, et al.. (2018). A genome-wide association study identifies candidate loci associated to syringomyelia secondary to Chiari-like malformation in Cavalier King Charles Spaniels. BMC Genetics. 19(1). 16–16. 18 indexed citations

Lemay, Philippe, Patrizia De Marco, Monica Traverso, et al.. (2018). Whole exome sequencing identifies novel predisposing genes in neural tube defects. Molecular Genetics & Genomic Medicine. 7(1). e00467–e00467. 22 indexed citations

Lemay, Philippe, Patrizia De Marco, Dan Spiegelman, et al.. (2017). Rare deleterious variants in GRHL3 are associated with human spina bifida. Human Mutation. 38(6). 716–724. 30 indexed citations

Benedet, Andréa Lessa, Aurélie Labbe, Philippe Lemay, et al.. (2015). Epistasis analysis links immune cascades and cerebral amyloidosis. Journal of Neuroinflammation. 12(1). 227–227. 11 indexed citations

Lemay, Philippe, Élizabeth Tremblay, Alexandre Dionne‐Laporte, et al.. (2015). Loss-of-function de novo mutations play an important role in severe human neural tube defects. Journal of Medical Genetics. 52(7). 493–497. 55 indexed citations

Lemay, Philippe, Susan P. Knowler, Samir Bouasker, et al.. (2014). Quantitative Trait Loci (QTL) Study Identifies Novel Genomic Regions Associated to Chiari-Like Malformation in Griffon Bruxellois Dogs. PLoS ONE. 9(4). e89816–e89816. 15 indexed citations

Benedet, Andréa Lessa, Philippe Lemay, Sulantha Mathotaarachchi, et al.. (2014). IC‐P‐176: EPISTASIS ANALYSES INDICATE ASSOCIATION BETWEEN CEREBRAL AMYLOID DEPOSITION AND GENES INVOLVED IN IMMUNO‐RESPONSE. Alzheimer s & Dementia. 10(4S_Part_7). 1 indexed citations

Lemay, Philippe. (2007). Developing a pattern language for flow experiences in video games. 7 indexed citations

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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