Mickaël Leclercq

83 total papers · 1.7k total citations
47 papers, 653 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 653 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

41 papers receiving 644 citations

Author Peers

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

Author						Papers	Cites
Mickaël Leclercq	362	84	81	78	60	47	653
Maurice Wong	475 1.3×	49 0.6×	55 0.7×	77 1.0×	94 1.6×	36	650
Puteri Shafinaz Abdul‐Rahman	265 0.7×	75 0.9×	38 0.5×	56 0.7×	80 1.3×	48	630
Jia‐Yi Zheng	334 0.9×	55 0.7×	29 0.4×	81 1.0×	44 0.7×	42	698
Barbara De Servi	363 1.0×	77 0.9×	137 1.7×	128 1.6×	20 0.3×	24	744
Yuan Ding	259 0.7×	75 0.9×	45 0.6×	48 0.6×	13 0.2×	51	624
Minjung Kim	361 1.0×	71 0.8×	44 0.5×	44 0.6×	27 0.5×	58	728
Peng Yu	289 0.8×	23 0.3×	33 0.4×	61 0.8×	47 0.8×	69	717
Doris Balinsky	405 1.1×	141 1.7×	49 0.6×	102 1.3×	17 0.3×	35	752
Quynhchi Pham	444 1.2×	41 0.5×	108 1.3×	116 1.5×	13 0.2×	35	790
Yun Zhang	269 0.7×	88 1.0×	19 0.2×	56 0.7×	23 0.4×	48	661

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

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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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