Antoine Lizée

1.8k total citations
8 papers, 541 citations indexed

About

Antoine Lizée is a scholar working on Pathology and Forensic Medicine, Rheumatology and Immunology. According to data from OpenAlex, Antoine Lizée has authored 8 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 4 papers in Rheumatology and 3 papers in Immunology. Recurrent topics in Antoine Lizée's work include Multiple Sclerosis Research Studies (6 papers), Systemic Lupus Erythematosus Research (4 papers) and T-cell and B-cell Immunology (3 papers). Antoine Lizée is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Systemic Lupus Erythematosus Research (4 papers) and T-cell and B-cell Immunology (3 papers). Antoine Lizée collaborates with scholars based in United States, France and Australia. Antoine Lizée's co-authors include Pouya Khankhanian, Sergio E. Baranzini, Daniel Himmelstein, Leo Brueggeman, Ari Green, Christine Hessler, Sabrina Chen, Dexter Hadley, Pierre‐Antoine Gourraud and Bruce Cree and has published in prestigious journals such as Neurology, eLife and Journal of Medical Internet Research.

In The Last Decade

Antoine Lizée

8 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antoine Lizée United States 7 269 145 123 73 67 8 541
Sunwon Lee South Korea 10 401 1.5× 83 0.6× 27 0.2× 97 1.3× 59 0.9× 22 710
Tanya C. Petrossian United States 11 365 1.4× 81 0.6× 30 0.2× 24 0.3× 143 2.1× 11 774
Salvatore Alaimo Italy 16 506 1.9× 211 1.5× 19 0.2× 23 0.3× 45 0.7× 49 948
Enrique J. deAndrés‐Galiana Spain 13 221 0.8× 50 0.3× 20 0.2× 41 0.6× 61 0.9× 30 534
Enrico Capobianco United States 13 306 1.1× 39 0.3× 53 0.4× 36 0.5× 51 0.8× 63 570
Jorgen Engmann United Kingdom 6 323 1.2× 73 0.5× 32 0.3× 14 0.2× 39 0.6× 10 673
Md. Shahjaman Bangladesh 14 367 1.4× 63 0.4× 23 0.2× 31 0.4× 62 0.9× 26 585
Hagit Shatkay United States 12 554 2.1× 16 0.1× 42 0.3× 61 0.8× 37 0.6× 33 885
Jielin Xu United States 13 362 1.3× 126 0.9× 16 0.1× 26 0.4× 108 1.6× 27 684
José Manuel Mas Spain 15 278 1.0× 44 0.3× 34 0.3× 6 0.1× 51 0.8× 34 592

Countries citing papers authored by Antoine Lizée

Since Specialization
Citations

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

Fields of papers citing papers by Antoine Lizée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antoine Lizée

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

All Works

8 of 8 papers shown
1.
Rowles, William, Antoine Lizée, Arno Klein, et al.. (2020). A Precision Medicine Tool for Patients With Multiple Sclerosis (the Open MS BioScreen): Human-Centered Design and Development. Journal of Medical Internet Research. 22(7). e15605–e15605. 22 indexed citations
2.
Himmelstein, Daniel, Antoine Lizée, Christine Hessler, et al.. (2017). Systematic integration of biomedical knowledge prioritizes drugs for repurposing. eLife. 6. 305 indexed citations
3.
Lizée, Antoine, Karl R. Beutner, Allan Motyer, et al.. (2017). Significant variation between SNP-based HLA imputations in diverse populations: the last mile is the hardest. The Pharmacogenomics Journal. 18(3). 367–376. 26 indexed citations
4.
Block, Valerie J., Antoine Lizée, Elizabeth Crabtree‐Hartman, et al.. (2017). Continuous Daily Assessment Of Multiple Sclerosis Disability Using Remote Step Count Monitoring (P1.376). Neurology. 88(16_supplement). 1 indexed citations
5.
Block, Valerie J., Antoine Lizée, Elizabeth Crabtree‐Hartman, et al.. (2016). Continuous daily assessment of multiple sclerosis disability using remote step count monitoring. Journal of Neurology. 264(2). 316–326. 106 indexed citations
6.
Isobe, Noriko, Anisha Keshavan, Pierre‐Antoine Gourraud, et al.. (2016). Association of HLA Genetic Risk Burden With Disease Phenotypes in Multiple Sclerosis. JAMA Neurology. 73(7). 795–795. 53 indexed citations
7.
Khankhanian, Pouya, Takuya Matsushita, Lohith Madireddy, et al.. (2015). Genetic contribution to multiple sclerosis risk among Ashkenazi Jews. BMC Medical Genetics. 16(1). 55–55. 11 indexed citations
8.
Khankhanian, Pouya, Pierre‐Antoine Gourraud, Antoine Lizée, & Douglas S. Goodin. (2015). Haplotype-based approach to known MS-associated regions increases the amount of explained risk. Journal of Medical Genetics. 52(9). 587–594. 17 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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