Mickaël Leclercq

1.7k total citations
47 papers, 664 citations indexed

About

Mickaël Leclercq is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Mickaël Leclercq has authored 47 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Computational Theory and Mathematics. Recurrent topics in Mickaël Leclercq's work include Metabolomics and Mass Spectrometry Studies (9 papers), Bioinformatics and Genomic Networks (6 papers) and Cancer-related molecular mechanisms research (5 papers). Mickaël Leclercq is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (9 papers), Bioinformatics and Genomic Networks (6 papers) and Cancer-related molecular mechanisms research (5 papers). Mickaël Leclercq collaborates with scholars based in Canada, France and United States. Mickaël Leclercq's co-authors include Arnaud Droit, Abdoulaye Baniré Diallo, Mathieu Blanchette, Olivier Périn, Florence Roux‐Dalvai, Clarisse Gotti, Iwona Rudkowska, Yves Fradet, Marie‐Laure Martin‐Magniette and Étienne Lord and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Mickaël Leclercq

42 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mickaël Leclercq Canada 15 362 84 82 78 62 47 664
Huahong Wang China 19 731 2.0× 72 0.9× 122 1.5× 177 2.3× 45 0.7× 58 1.2k
Jiayi Yin China 20 768 2.1× 136 1.6× 62 0.8× 50 0.6× 65 1.0× 41 1.2k
Macha Nikolski France 17 617 1.7× 43 0.5× 39 0.5× 125 1.6× 48 0.8× 54 913
Qi Song China 20 511 1.4× 67 0.8× 53 0.6× 187 2.4× 26 0.4× 45 868
Zhong Feng China 11 294 0.8× 25 0.3× 59 0.7× 60 0.8× 89 1.4× 46 569
Cheng Shen China 18 328 0.9× 152 1.8× 40 0.5× 112 1.4× 9 0.1× 63 989
Xinchen Zhang China 21 442 1.2× 163 1.9× 114 1.4× 57 0.7× 8 0.1× 49 1.1k
Martin Stražar United States 12 492 1.4× 31 0.4× 57 0.7× 26 0.3× 19 0.3× 16 695
Shiva Kumar India 8 670 1.9× 130 1.5× 14 0.2× 51 0.7× 31 0.5× 13 1.1k
Xiaoyu Zhang China 17 421 1.2× 206 2.5× 60 0.7× 72 0.9× 10 0.2× 67 899

Countries citing papers authored by Mickaël Leclercq

Since Specialization
Citations

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

Fields of papers citing papers by Mickaël Leclercq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mickaël Leclercq

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

All Works

20 of 20 papers shown
1.
Leclercq, Mickaël & Arnaud Droit. (2025). Protein Language Models: Applications and Perspectives. Journal of Proteome Research. 25(2). 507–524.
2.
Leclercq, Mickaël, Florence Roux‐Dalvai, Shannon Leslie, et al.. (2024). BERNN: Enhancing classification of Liquid Chromatography Mass Spectrometry data with batch effect removal neural networks. Nature Communications. 15(1). 3777–3777. 6 indexed citations
3.
Allaeys, Isabelle, Guillaume Lemaire, Mickaël Leclercq, et al.. (2024). SARS-CoV-2 infection modifies the transcriptome of the megakaryocytes in the bone marrow. Blood Advances. 8(11). 2777–2789. 3 indexed citations
4.
Leclercq, Mickaël, et al.. (2024). Optimizing hybrid ensemble feature selection strategies for transcriptomic biomarker discovery in complex diseases. NAR Genomics and Bioinformatics. 6(3). lqae079–lqae079. 3 indexed citations
5.
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
6.
Scott‐Boyer, Marie‐Pier, Antoine Bodein, Mickaël Leclercq, et al.. (2024). Target repositioning using multi-layer networks and machine learning: The case of prostate cancer. Computational and Structural Biotechnology Journal. 24. 464–475. 1 indexed citations
7.
Leclercq, Mickaël, et al.. (2024). ProPickML: Advancing Clinical Diagnostics with Automated Peak Picking in Label-Free Targeted Proteomics. Journal of Proteome Research. 24(1). 244–255. 1 indexed citations
8.
Gotti, Clarisse, Florence Roux‐Dalvai, Ève Bérubé, et al.. (2024). LC-SRM Combined With Machine Learning Enables Fast Identification and Quantification of Bacterial Pathogens in Urinary Tract Infections. Molecular & Cellular Proteomics. 23(11). 100832–100832. 1 indexed citations
9.
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
10.
Mahdavi, Atena, Mickaël Leclercq, Arnaud Droit, Iwona Rudkowska, & Michel Lebel. (2023). Predictive model for vitamin C levels in hyperinsulinemic individuals based on age, sex, waist circumference, low-density lipoprotein, and immune-associated serum proteins. The Journal of Nutritional Biochemistry. 125. 109538–109538. 3 indexed citations
11.
Gotti, Clarisse, et al.. (2022). DIA proteomics data from a UPS1-spiked E.coli protein mixture processed with six software tools. Data in Brief. 41. 107829–107829. 2 indexed citations
12.
Scott‐Boyer, Marie‐Pier, et al.. (2021). KibioR & Kibio: a new architecture for next-generation data querying and sharing in big biology. Bioinformatics. 37(17). 2706–2713. 1 indexed citations
13.
Gotti, Clarisse, et al.. (2021). Extensive and Accurate Benchmarking of DIA Acquisition Methods and Software Tools Using a Complex Proteomic Standard. Journal of Proteome Research. 20(10). 4801–4814. 51 indexed citations
14.
Leclercq, Mickaël, et al.. (2020). Statistical and Machine-Learning Analyses in Nutritional Genomics Studies. Nutrients. 12(10). 3140–3140. 32 indexed citations
15.
Leclercq, Mickaël, Sarah O’Connor, Pierre Julien, et al.. (2020). Dairy product intake modifies gut microbiota composition among hyperinsulinemic individuals. European Journal of Nutrition. 60(1). 159–167. 21 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.
Bergeron, Alain, Mickaël Leclercq, Hélène Hovington, et al.. (2020). Immune-focused multi-omics analysis of prostate cancer: leukocyte Ig-Like receptors are associated with disease progression. OncoImmunology. 9(1). 1851950–1851950. 9 indexed citations
18.
O’Connor, Sarah, Mickaël Leclercq, Pierre Julien, et al.. (2019). Increased Dairy Product Intake Alters Serum Metabolite Profiles in Subjects at Risk of Developing Type 2 Diabetes. Molecular Nutrition & Food Research. 63(19). e1900126–e1900126. 14 indexed citations
19.
Agharbaoui, Zahra, Mickaël Leclercq, Mohamed Badawi, et al.. (2015). An integrative approach to identify hexaploid wheat miRNAome associated with development and tolerance to abiotic stress. BMC Genomics. 16(1). 339–339. 18 indexed citations
20.
Leclercq, Mickaël. (1986). Piqûres d'insectes et d'arachnides. Physiopathologie et immunologie thérapeutique. Mise au point et observations inédites.. RMLG. Revue médicale de Liège. 41. 1 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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