Arnaud Droit

8.9k total citations · 1 hit paper
183 papers, 3.8k citations indexed

About

Arnaud Droit is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Arnaud Droit has authored 183 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Molecular Biology, 23 papers in Genetics and 21 papers in Cancer Research. Recurrent topics in Arnaud Droit's work include Metabolomics and Mass Spectrometry Studies (22 papers), Advanced Proteomics Techniques and Applications (14 papers) and RNA Research and Splicing (13 papers). Arnaud Droit is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (22 papers), Advanced Proteomics Techniques and Applications (14 papers) and RNA Research and Splicing (13 papers). Arnaud Droit collaborates with scholars based in Canada, France and United States. Arnaud Droit's co-authors include Guy G. Poirier, Olivier Périn, Marie‐Pier Scott‐Boyer, Antoine Bodein, Florence Roux‐Dalvai, Sylvie Bourassa, Mickaël Leclercq, Jean‐Philippe Gagné, Michael J. Hendzel and Frédéric Fournier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Arnaud Droit

172 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integration strategies of multi-omics data for machine learning analysis

2021 345 citations Marie‐Pier Scott‐Boyer, Antoine Bodein et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arnaud Droit Canada	36	2.1k	523	468	428	304	183	3.8k
Alia Benkahla Tunisia	11	2.0k 1.0×	365 0.7×	541 1.2×	325 0.8×	204 0.7×	26	3.2k
Fatma Z. Guerfali Tunisia	9	2.1k 1.0×	377 0.7×	607 1.3×	785 1.8×	345 1.1×	27	3.8k
Xiaochun Li United States	41	2.6k 1.3×	778 1.5×	337 0.7×	466 1.1×	290 1.0×	142	4.9k
Xiaoqian Wang China	41	2.4k 1.2×	836 1.6×	912 1.9×	579 1.4×	276 0.9×	285	5.4k
Jing Huang United States	40	4.8k 2.3×	677 1.3×	486 1.0×	445 1.0×	401 1.3×	124	6.8k
Mikaela Koutrouli Denmark	5	2.2k 1.0×	303 0.6×	463 1.0×	373 0.9×	238 0.8×	12	3.9k
Farrokh Mehryary Finland	8	2.1k 1.0×	299 0.6×	460 1.0×	370 0.9×	241 0.8×	15	3.8k
Xiaoli Jiao United States	10	2.5k 1.2×	367 0.7×	748 1.6×	546 1.3×	297 1.0×	21	4.3k
Yuri Nikolsky United States	34	2.3k 1.1×	622 1.2×	595 1.3×	313 0.7×	179 0.6×	55	3.6k
Tae‐Hoon Lee South Korea	35	2.5k 1.2×	444 0.8×	327 0.7×	490 1.1×	176 0.6×	192	4.5k

Countries citing papers authored by Arnaud Droit

Since Specialization

Citations

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

Fields of papers citing papers by Arnaud Droit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Droit

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

All Works

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20 of 20 papers shown

Bodein, Antoine, et al.. (2025). A systematic benchmark of integrative strategies for microbiome-metabolome data. Communications Biology. 8(1). 1100–1100. 2 indexed citations

Leclercq, Mickaël & Arnaud Droit. (2025). Protein Language Models: Applications and Perspectives. Journal of Proteome Research. 25(2). 507–524.

Roy, Vincent, Stéphanie Bianco, Arnaud Droit, et al.. (2024). Transcriptomic Analysis of Mineralized Adipose-Derived Stem Cell Tissues for Calcific Valve Disease Modelling. International Journal of Molecular Sciences. 25(4). 2291–2291. 1 indexed citations

Bodein, Antoine, et al.. (2024). Proteomic Profiling of Samples Derived from a Murine Model Following Cryptococcus neoformans Infection. Methods in molecular biology. 2775. 127–137. 1 indexed citations

Leclercq, Mickaël, et al.. (2024). A Machine Learning Approach to Identify Key Residues Involved in Protein–Protein Interactions Exemplified with SARS-CoV-2 Variants. International Journal of Molecular Sciences. 25(12). 6535–6535. 3 indexed citations

Leclercq, Mickaël, et al.. (2023). Design of experiment and machine learning inform on the 3D printing of hydrogels for biomedical applications. Biomaterials Advances. 153. 213533–213533. 12 indexed citations

Prunier, Julien, Isabelle Gilbert, Gabriela F. Mastromonaco, et al.. (2023). Chromosome-level assembly of the Rangifer tarandus genome and validation of cervid and bovid evolution insights. BMC Genomics. 24(1). 142–142. 3 indexed citations

Leclercq, Mickaël, et al.. (2023). BioDiscViz: A visualization support and consensus signature selector for BioDiscML results. PLoS ONE. 18(11). e0294750–e0294750. 2 indexed citations

Racine, Gina, Calaiselvy Soundaramourty, Charles Joly Beauparlant, et al.. (2023). Early ART reduces viral seeding and innate immunity in liver and lungs of SIV-infected macaques. JCI Insight. 8(14). 4 indexed citations

10.

Bodein, Antoine, Alban Mathieu, Charles Joly Beauparlant, et al.. (2023). Multi-Omics Data Integration Reveals Key Variables Contributing to Subgingival Microbiome Dysbiosis-Induced Inflammatory Response in a Hyperglycemic Microenvironment. International Journal of Molecular Sciences. 24(10). 8832–8832. 3 indexed citations

11.

Tardif, Ginette, Frédéric Paré, Clarisse Gotti, et al.. (2022). Mass spectrometry-based proteomics identify novel serum osteoarthritis biomarkers. Arthritis Research & Therapy. 24(1). 120–120. 20 indexed citations

12.

Bodein, Antoine, Marie‐Pier Scott‐Boyer, Olivier Périn, Kim‐Anh Lê Cao, & Arnaud Droit. (2021). timeOmics: an R package for longitudinal multi-omics data integration. Bioinformatics. 38(2). 577–579. 21 indexed citations

13.

Prunier, Julien, Isabelle Gilbert, Vicky Albert, et al.. (2021). CNVs with adaptive potential in Rangifer tarandus: genome architecture and new annotated assembly. Life Science Alliance. 5(3). e202101207–e202101207. 5 indexed citations

14.

Bujold, Emmanuel, Florence Roux‐Dalvai, Marie‐Pier Scott‐Boyer, et al.. (2021). Proteomic Analysis of Maternal Urine for the Early Detection of Preeclampsia and Fetal Growth Restriction. Journal of Clinical Medicine. 10(20). 4679–4679. 5 indexed citations

15.

Lachance, Gabriel, Karine Robitaille, Charles Joly Beauparlant, et al.. (2020). Omega-3 Eicosapentaenoic Acid Reduces Prostate Tumor Vascularity. Molecular Cancer Research. 19(3). 516–527. 9 indexed citations

16.

Jamshidi, Afshin, Mickaël Leclercq, Aurélie Labbe, et al.. (2020). Identification of the most important features of knee osteoarthritis structural progressors using machine learning methods. Therapeutic Advances in Musculoskeletal Disease. 12. 1759720X20933468–1759720X20933468. 35 indexed citations

17.

Saudemont, Philippe, Fŕed́eric Precioso, Nina Ogrinc, et al.. (2020). Cumulative learning enables convolutional neural network representations for small mass spectrometry data classification. Nature Communications. 11(1). 5595–5595. 55 indexed citations

18.

Leclercq, Mickaël, et al.. (2020). Statistical and Machine-Learning Analyses in Nutritional Genomics Studies. Nutrients. 12(10). 3140–3140. 32 indexed citations

19.

Ross, Julie, Marissa Rashkovan, Jennifer Fraszczak, et al.. (2019). Deletion of the Miz-1 POZ Domain Increases Efficacy of Cytarabine Treatment in T- and B-ALL/Lymphoma Mouse Models. Cancer Research. 79(16). 4184–4195. 18 indexed citations

20.

Busche, Stephan, Bing Ge, Ramón Vidal, et al.. (2013). Integration of High-Resolution Methylome and Transcriptome Analyses to Dissect Epigenomic Changes in Childhood Acute Lymphoblastic Leukemia. Cancer Research. 73(14). 4323–4336. 34 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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