Marie-Pierre Mailhé

589 total citations
9 papers, 336 citations indexed

About

Marie-Pierre Mailhé is a scholar working on Immunology, Molecular Biology and Paleontology. According to data from OpenAlex, Marie-Pierre Mailhé has authored 9 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Paleontology. Recurrent topics in Marie-Pierre Mailhé's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Zebrafish Biomedical Research Applications (2 papers). Marie-Pierre Mailhé is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Zebrafish Biomedical Research Applications (2 papers). Marie-Pierre Mailhé collaborates with scholars based in France, United States and Portugal. Marie-Pierre Mailhé's co-authors include Sandrine Schmutz, Sophie Novault, Elad Chomsky, Amos Tanay, Zohar Mukamel, Heather Marlow, Ralf Steinmetz, François Spitz, Baptiste Saudemont and Aviezer Lifshitz and has published in prestigious journals such as Cell, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Marie-Pierre Mailhé

8 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie-Pierre Mailhé France 5 155 99 91 44 42 9 336
Carolyn Teragawa United States 10 219 1.4× 65 0.7× 71 0.8× 23 0.5× 19 0.5× 12 412
Federico Gaiti Australia 11 424 2.7× 49 0.5× 115 1.3× 53 1.2× 47 1.1× 22 615
Sandrine Schmutz France 9 260 1.7× 525 5.3× 91 1.0× 44 1.0× 44 1.0× 16 888
Vera Brekhman Israel 12 203 1.3× 80 0.8× 175 1.9× 84 1.9× 76 1.8× 24 502
Kathrein E. Roper Australia 11 180 1.2× 45 0.5× 57 0.6× 80 1.8× 43 1.0× 14 368
Catriona Munro United States 11 217 1.4× 18 0.2× 70 0.8× 54 1.2× 59 1.4× 17 378
Mary Laplante Norway 8 383 2.5× 97 1.0× 61 0.7× 52 1.2× 17 0.4× 8 575
Malte Puchert Germany 9 266 1.7× 87 0.9× 116 1.3× 55 1.3× 25 0.6× 12 452
Roger Revilla‐i‐Domingo Austria 9 285 1.8× 103 1.0× 13 0.1× 35 0.8× 15 0.4× 11 468
Kostas Kaloulis Switzerland 7 370 2.4× 65 0.7× 105 1.2× 34 0.8× 16 0.4× 7 570

Countries citing papers authored by Marie-Pierre Mailhé

Since Specialization
Citations

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

Fields of papers citing papers by Marie-Pierre Mailhé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie-Pierre Mailhé

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

All Works

9 of 9 papers shown
1.
Mailhé, Marie-Pierre, João P. Pereira, Emanuele Azzoni, et al.. (2025). Spatiotemporal dynamics of fetal liver hematopoietic niches. The Journal of Experimental Medicine. 222(2). 4 indexed citations
2.
Robertson, Helen E., Arnau Sebé-Pedrós, Baptiste Saudemont, et al.. (2024). Single cell atlas of Xenoturbella bocki highlights limited cell-type complexity. Nature Communications. 15(1). 2469–2469. 1 indexed citations
3.
Perchet, Thibaut, et al.. (2024). Bone marrow monocytes sustain NK cell-poiesis during non-alcoholic steatohepatitis. Cell Reports. 43(1). 113676–113676.
4.
Cacialli, Pietro, Marie-Pierre Mailhé, Ingrid Wagner, et al.. (2022). Synergistic prostaglandin E synthesis by myeloid and endothelial cells promotes fetal hematopoietic stem cell expansion in vertebrates. The EMBO Journal. 41(19). e108536–e108536. 7 indexed citations
5.
Schmutz, Sandrine, et al.. (2022). Identification of fetal liver stroma in spectral cytometry using the parameter autofluorescence. Cytometry Part A. 101(11). 960–969. 12 indexed citations
6.
Sebé-Pedrós, Arnau, Baptiste Saudemont, Elad Chomsky, et al.. (2018). Cnidarian Cell Type Diversity and Regulation Revealed by Whole-Organism Single-Cell RNA-Seq. Cell. 173(6). 1520–1534.e20. 203 indexed citations
7.
Anson, Marie, Inês F. Amado, Marie-Pierre Mailhé, et al.. (2016). Regulation and Maintenance of an Adoptive T-Cell Dependent Memory B Cell Pool. PLoS ONE. 11(11). e0167003–e0167003. 2 indexed citations
8.
Amado, Inês F., Rita J. Luther, Marie-Pierre Mailhé, et al.. (2013). IL-2 coordinates IL-2–producing and regulatory T cell interplay. The Journal of Experimental Medicine. 210(12). 2707–2720. 72 indexed citations
9.
Six, Emmanuelle, Nicolas Fazilleau, Laurent Mascarell, et al.. (2005). In Vivo and in Absence of a Thymus, the Enforced Expression of the Notch Ligands Delta-1 or Delta-4 Promotes T Cell Development with Specific Unique Effects. The Journal of Immunology. 174(5). 2730–2737. 35 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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