Philippe Pierre

28.4k total citations · 6 hit papers
153 papers, 11.9k citations indexed

About

Philippe Pierre is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Philippe Pierre has authored 153 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 47 papers in Immunology and 24 papers in Cell Biology. Recurrent topics in Philippe Pierre's work include Immunotherapy and Immune Responses (31 papers), Immune Cell Function and Interaction (18 papers) and T-cell and B-cell Immunology (18 papers). Philippe Pierre is often cited by papers focused on Immunotherapy and Immune Responses (31 papers), Immune Cell Function and Interaction (18 papers) and T-cell and B-cell Immunology (18 papers). Philippe Pierre collaborates with scholars based in France, United States and Portugal. Philippe Pierre's co-authors include Evelina Gatti, Enrico Schmidt, Giovanna Clavarino, Ira Mellman, Eric Klann, Julien Bogousslavsky, Maurizio Ceppi, Voahirana Camosseto, Paul Vezina and Thomas E. Kreis and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Philippe Pierre

147 papers receiving 11.8k citations

Hit Papers

SUnSET, a nonradioactive method to monitor protein... 1997 2026 2006 2016 2009 1997 2009 2013 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Pierre France 54 5.6k 3.4k 2.2k 1.7k 1.2k 153 11.9k
David R. Hinton United States 75 9.0k 1.6× 3.8k 1.1× 1.2k 0.6× 1.8k 1.1× 1.8k 1.5× 386 20.8k
Thomas Rülicke Austria 62 6.5k 1.2× 2.8k 0.8× 666 0.3× 1.4k 0.8× 1.5k 1.2× 206 13.5k
Hiroshi Kiyonari Japan 62 7.7k 1.4× 1.7k 0.5× 2.3k 1.0× 539 0.3× 1.6k 1.3× 251 13.0k
Takehiko Sasaki Japan 66 12.2k 2.2× 4.7k 1.4× 2.5k 1.1× 1.5k 0.9× 1.2k 1.0× 306 20.1k
J. Simon C. Arthur United Kingdom 65 10.0k 1.8× 3.5k 1.1× 2.2k 1.0× 1.0k 0.6× 1.7k 1.4× 174 16.2k
John R. Walker United States 52 6.9k 1.2× 1.2k 0.4× 925 0.4× 1.0k 0.6× 1.4k 1.1× 121 11.9k
Dragan Maric United States 55 4.9k 0.9× 1.7k 0.5× 656 0.3× 1.1k 0.6× 2.3k 1.9× 196 11.1k
Peter Nürnberg Germany 71 9.0k 1.6× 1.5k 0.4× 2.0k 0.9× 1.6k 0.9× 1.2k 1.0× 407 17.7k
Ming Xu United States 50 5.0k 0.9× 1.7k 0.5× 738 0.3× 631 0.4× 2.0k 1.7× 199 8.9k
Heikki Rauvala Finland 72 9.1k 1.6× 2.3k 0.7× 3.8k 1.7× 709 0.4× 3.1k 2.5× 188 17.6k

Countries citing papers authored by Philippe Pierre

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Pierre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Pierre

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Pierre. A scholar is included among the top collaborators of Philippe 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 Philippe Pierre. Philippe Pierre 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.
Simões, Joana, Ana Rita Prata, Rafael J. Argüello, et al.. (2025). Distinct metabolic profiles of circulating plasmacytoid dendritic cells in systemic sclerosis patients stratified by clinical phenotypes. Arthritis Research & Therapy. 27(1). 35–35. 2 indexed citations
2.
Li, Song, Liang Li, Qijun Wang, et al.. (2024). DEPDC5 protects CD8+ T cells from ferroptosis by limiting mTORC1-mediated purine catabolism. Cell Discovery. 10(1). 53–53. 19 indexed citations
3.
Colman, Ricki J., et al.. (2023). Behavioral and Cognitive Outcomes of Rhesus Macaques Following Neonatal Exposure to Antiseizure Medications. Annals of Neurology. 95(1). 57–70. 2 indexed citations
5.
Mendes, Andreia, Christian Rodríguez Rodrígues, Doriane Sanséau, et al.. (2020). Proteostasis in dendritic cells is controlled by the PERK signaling axis independently of ATF4. Life Science Alliance. 4(2). e202000865–e202000865. 10 indexed citations
6.
Argüello, Rafael J., Alexis J. Combes, Rémy Char, et al.. (2020). SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution. Cell Metabolism. 32(6). 1063–1075.e7. 278 indexed citations breakdown →
7.
Mendes, Andreia, Voahirana Camosseto, Alexis J. Combes, et al.. (2018). Guanabenz inhibits TLR9 signaling through a pathway that is independent of eIF2α dephosphorylation by the GADD34/PP1c complex. Science Signaling. 11(514). 16 indexed citations
8.
Almeida, Catarina R., et al.. (2018). Autophagy and MHC-restricted antigen presentation. Molecular Immunology. 99. 163–170. 58 indexed citations
9.
Terawaki, Seigo, Voahirana Camosseto, Philippe Pierre, & Evelina Gatti. (2016). RUFY4: Immunity piggybacking on autophagy?. Autophagy. 12(3). 598–600. 15 indexed citations
10.
McEwan, David G., Doris Popovic, Andrea Gubaš, et al.. (2014). PLEKHM1 Regulates Autophagosome-Lysosome Fusion through HOPS Complex and LC3/GABARAP Proteins. Molecular Cell. 57(1). 39–54. 431 indexed citations breakdown →
11.
Salcedo, Suzana P., María Inés Marchesini, Clara Degos, et al.. (2013). BtpB, a novel Brucella TIR-containing effector protein with immune modulatory functions. Frontiers in Cellular and Infection Microbiology. 3. 28–28. 101 indexed citations
13.
Provençal, Nadine, Matthew Suderman, Claire Guillemin, et al.. (2012). The Signature of Maternal Rearing in the Methylome in Rhesus Macaque Prefrontal Cortex and T Cells. Journal of Neuroscience. 32(44). 15626–15642. 207 indexed citations
14.
Bhattacharya, Aditi, et al.. (2012). Genetic Removal of p70 S6 Kinase 1 Corrects Molecular, Synaptic, and Behavioral Phenotypes in Fragile X Syndrome Mice. Neuron. 76(2). 325–337. 249 indexed citations
15.
Reineke, Lucas C., et al.. (2012). Large G3BP-induced granules trigger eIF2α phosphorylation. Molecular Biology of the Cell. 23(18). 3499–3510. 107 indexed citations
16.
Gassart, Aude De, Voahirana Camosseto, Jacques Thibodeau, et al.. (2008). MHC class II stabilization at the surface of human dendritic cells is the result of maturation-dependent MARCH I down-regulation. Proceedings of the National Academy of Sciences. 105(9). 3491–3496. 205 indexed citations
17.
Robbins, Scott H., Thierry Walzer, Doulaye Dembélé, et al.. (2008). Novel insights into the relationships between dendritic cell subsets in human and mouse revealed by genome-wide expression profiling. Genome biology. 9(1). R17–R17. 391 indexed citations
18.
Salcedo, Suzana P., María Inés Marchesini, Hugues Lelouard, et al.. (2008). Brucella Control of Dendritic Cell Maturation Is Dependent on the TIR-Containing Protein Btp1. PLoS Pathogens. 4(2). e21–e21. 230 indexed citations
19.
Pierre, Philippe, et al.. (2008). Age-related neuroanatomical differences from the juvenile period to adulthood in mother-reared macaques (Macaca radiata). Brain Research. 1226. 56–60. 14 indexed citations
20.
Pierre, Philippe & Ira Mellman. (1998). Exploring the mechanisms of antigen processing by cell fractionation. Current Opinion in Immunology. 10(2). 145–153. 30 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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