Quentin Marcou

819 total citations
9 papers, 441 citations indexed

About

Quentin Marcou is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Quentin Marcou has authored 9 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Quentin Marcou's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers) and vaccines and immunoinformatics approaches (2 papers). Quentin Marcou is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers) and vaccines and immunoinformatics approaches (2 papers). Quentin Marcou collaborates with scholars based in France, Burundi and United States. Quentin Marcou's co-authors include Aleksandra M. Walczak, Thierry Mora, Yuval Elhanati, Curtis G. Callan, Zachary Sethna, Thomas Dupic, Vadim I. Nazarov, Ekaterina A. Komech, Olga V. Britanova and Dmitriy M. Chudakov and has published in prestigious journals such as Nature Communications, Bioinformatics and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Quentin Marcou

8 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Quentin Marcou France	6	334	176	141	75	26	9	441
Zachary Sethna United States	7	260 0.8×	167 0.9×	107 0.8×	79 1.1×	23 0.9×	9	370
Evgeniy S. Egorov Russia	7	281 0.8×	125 0.7×	59 0.4×	74 1.0×	21 0.8×	8	374
Yuval Elhanati United States	11	450 1.3×	260 1.5×	137 1.0×	114 1.5×	47 1.8×	20	614
Jerome Samir Australia	7	264 0.8×	189 1.1×	58 0.4×	112 1.5×	13 0.5×	10	373
Bochao Zhang United States	9	249 0.7×	97 0.6×	68 0.5×	52 0.7×	16 0.6×	10	369
Jinghua Wu China	12	286 0.9×	149 0.8×	89 0.6×	124 1.7×	16 0.6×	18	448
Karuna Sundarapandiyan United States	11	355 1.1×	185 1.1×	279 2.0×	180 2.4×	19 0.7×	18	506
Moriah Gidoni Israel	12	181 0.5×	176 1.0×	103 0.7×	35 0.5×	30 1.2×	13	369
Chae Reed United States	6	155 0.5×	255 1.4×	276 2.0×	87 1.2×	27 1.0×	7	402
Elyana Matayeva United States	3	328 1.0×	91 0.5×	75 0.5×	95 1.3×	9 0.3×	7	387

Countries citing papers authored by Quentin Marcou

Since Specialization

Citations

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

Fields of papers citing papers by Quentin Marcou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quentin Marcou

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Marcou, Quentin, et al.. (2024). Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy. Journal of Biomedical Informatics. 152. 104617–104617. 2 indexed citations

2.

Marcou, Quentin, et al.. (2023). Quantifying physician’s bias to terminate resuscitation. The TERMINATOR study. Resuscitation. 188. 109818–109818. 6 indexed citations

3.

Dupic, Thomas, Quentin Marcou, Aleksandra M. Walczak, & Thierry Mora. (2019). Genesis of the αβ T-cell receptor. PLoS Computational Biology. 15(3). e1006874–e1006874. 67 indexed citations

4.

Marcou, Quentin, Thierry Mora, & Aleksandra M. Walczak. (2018). High-throughput immune repertoire analysis with IGoR. Nature Communications. 9(1). 561–561. 160 indexed citations

5.

Marcou, Quentin, Irit Carmi-Levy, Coline Trichot, et al.. (2018). A model for the integration of conflicting exogenous and endogenous signals by dendritic cells. Physical Biology. 15(5). 56001–56001.

6.

Pogorelyy, Mikhail V., Yuval Elhanati, Quentin Marcou, et al.. (2017). Persisting fetal clonotypes influence the structure and overlap of adult human T cell receptor repertoires. PLoS Computational Biology. 13(7). e1005572–e1005572. 58 indexed citations

7.

Elhanati, Yuval, Quentin Marcou, Thierry Mora, & Aleksandra M. Walczak. (2016). repgenHMM: a dynamic programming tool to infer the rules of immune receptor generation from sequence data. Bioinformatics. 32(13). 1943–1951. 23 indexed citations

8.

Elhanati, Yuval, Zachary Sethna, Quentin Marcou, et al.. (2015). Inferring processes underlying B-cell repertoire diversity. Philosophical Transactions of the Royal Society B Biological Sciences. 370(1676). 20140243–20140243. 124 indexed citations

9.

Lagache, Thibault, et al.. (2015). Using steerable wavelets and minimal paths to reconstruct automatically filaments in fluorescence imaging. SPIRE - Sciences Po Institutional REpository. 4119. 706–709. 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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