Rémi Pierre

502 total citations
10 papers, 332 citations indexed

About

Rémi Pierre is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rémi Pierre has authored 10 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rémi Pierre's work include Immune Cell Function and Interaction (2 papers), Systemic Sclerosis and Related Diseases (1 paper) and Pluripotent Stem Cells Research (1 paper). Rémi Pierre is often cited by papers focused on Immune Cell Function and Interaction (2 papers), Systemic Sclerosis and Related Diseases (1 paper) and Pluripotent Stem Cells Research (1 paper). Rémi Pierre collaborates with scholars based in France, United Kingdom and Germany. Rémi Pierre's co-authors include Benoı̂t Viollet, Allison Marion, Marc Foretz, Marcio Do Cruzeiro, Dmitry V. Bulavin, Élisabeth Marcos, Serge Adnot, Marielle Breau, Jean‐Michel Flaman and Delphine Beaulieu and has published in prestigious journals such as Circulation, Nature Communications and Gut.

In The Last Decade

Rémi Pierre

9 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rémi Pierre France	6	193	88	79	65	54	10	332
Ranjan Das South Korea	11	236 1.2×	68 0.8×	64 0.8×	84 1.3×	38 0.7×	20	522
André Sarmento‐Cabral Spain	12	199 1.0×	127 1.4×	67 0.8×	42 0.6×	108 2.0×	23	393
Harrison T. Muturi United States	12	224 1.2×	155 1.8×	90 1.1×	97 1.5×	128 2.4×	27	480
Véronique Caron Canada	8	202 1.0×	68 0.8×	55 0.7×	65 1.0×	22 0.4×	12	371
Gang Niu China	11	153 0.8×	67 0.8×	45 0.6×	65 1.0×	32 0.6×	20	359
Rumi Hachiya Japan	8	151 0.8×	99 1.1×	63 0.8×	33 0.5×	58 1.1×	20	364
Judy Tsai United States	5	232 1.2×	74 0.8×	107 1.4×	40 0.6×	112 2.1×	7	429
Amelia Y.I. Viana Japan	7	268 1.4×	91 1.0×	79 1.0×	102 1.6×	68 1.3×	7	418
Satoshi Yamaguchi Japan	9	159 0.8×	84 1.0×	41 0.5×	46 0.7×	46 0.9×	29	338

Countries citing papers authored by Rémi Pierre

Since Specialization

Citations

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

Fields of papers citing papers by Rémi Pierre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rémi Pierre

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

All Works

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10 of 10 papers shown

Vance, Tyler D. R., et al.. (2025). Spermatozoa lacking TEX51 display hypofertility and defects in morphology. Communications Biology. 8(1). 1563–1563.

Audemard‐Verger, Alexandra, Aurélie Durand, Mathieu Germain, et al.. (2024). Iron Boosts Antitumor Type 1 T-cell Responses and Anti-PD1 Immunotherapy. Cancer Immunology Research. 12(9). 1252–1267. 3 indexed citations

Ialy‐Radio, Côme, et al.. (2023). Generation and Characterization of a Transgenic Mouse That Specifically Expresses the Cre Recombinase in Spermatids. Genes. 14(5). 983–983. 1 indexed citations

Pierre, Rémi, Arnauld Sergé, Marc Delord, et al.. (2023). Intrinsic factors and CD1d1 but not CD1d2 expression levels control invariant natural killer T cell subset differentiation. Nature Communications. 14(1). 7922–7922. 4 indexed citations

Lipskaia, Larissa, Marielle Breau, Amal Houssaïni, et al.. (2022). Eliminating Senescent Cells Can Promote Pulmonary Hypertension Development and Progression. Circulation. 147(8). 650–666. 79 indexed citations

Santos, Matthieu Dos, Stéphanie Backer, Frédéric Aurade, et al.. (2022). A fast Myosin super enhancer dictates muscle fiber phenotype through competitive interactions with Myosin genes. Nature Communications. 13(1). 1039–1039. 35 indexed citations

Frantz, C., Anne Cauvet, Aurélie Durand, et al.. (2022). Driving Role of Interleukin‐2–Related Regulatory CD4+ T Cell Deficiency in the Development of Lung Fibrosis and Vascular Remodeling in a Mouse Model of Systemic Sclerosis. Arthritis & Rheumatology. 74(8). 1387–1398. 16 indexed citations

Dupuis, Sophie, Côme Ialy‐Radio, Laurence Stouvenel, et al.. (2021). Deletion of the Spata3 Gene Induces Sperm Alterations and In Vitro Hypofertility in Mice. International Journal of Molecular Sciences. 22(4). 1959–1959. 15 indexed citations

Marion, Allison, et al.. (2018). AMPK Re-Activation Suppresses Hepatic Steatosis but its Downregulation Does Not Promote Fatty Liver Development. EBioMedicine. 28. 194–209. 157 indexed citations

10.

Saucisse, Nicolas, Pierre Costet, Fadila Benhamed, et al.. (2017). Liver Reptin/RUVBL2 controls glucose and lipid metabolism with opposite actions on mTORC1 and mTORC2 signalling. Gut. 67(12). 2192–2203. 22 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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