Pierre Ferrier

7.5k total citations
134 papers, 5.9k citations indexed

About

Pierre Ferrier is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Pierre Ferrier has authored 134 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 56 papers in Immunology and 17 papers in Genetics. Recurrent topics in Pierre Ferrier's work include T-cell and B-cell Immunology (48 papers), Immune Cell Function and Interaction (39 papers) and Genomics and Chromatin Dynamics (22 papers). Pierre Ferrier is often cited by papers focused on T-cell and B-cell Immunology (48 papers), Immune Cell Function and Interaction (39 papers) and Genomics and Chromatin Dynamics (22 papers). Pierre Ferrier collaborates with scholars based in France, United States and Switzerland. Pierre Ferrier's co-authors include Salvatore Spicuglia, Jean‐Christophe Andrau, Frédéric Koch, Frederick W. Alt, Christophe Verthuy, Gaëlle Bouvier, Joaquin Zacarías-Cabeza, Romain Fenouil, T. Keith Blackwell and Marta Gut and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Pierre Ferrier

133 papers receiving 5.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Ferrier France 39 3.0k 2.9k 722 668 457 134 5.9k
Michael Kiefer United States 42 4.1k 1.3× 1.3k 0.5× 1.1k 1.6× 756 1.1× 1.2k 2.5× 68 6.9k
David L. Gasser United States 32 2.3k 0.8× 1.0k 0.4× 1.4k 1.9× 877 1.3× 538 1.2× 85 5.9k
J G Seidman United States 47 4.5k 1.5× 2.0k 0.7× 489 0.7× 846 1.3× 148 0.3× 105 9.1k
Miguel A. Alonso Spain 47 3.2k 1.1× 1.2k 0.4× 795 1.1× 463 0.7× 553 1.2× 155 6.2k
Kenzaburo Tani Japan 38 2.4k 0.8× 1.4k 0.5× 1.2k 1.6× 1.1k 1.6× 285 0.6× 225 5.4k
Stephen Desiderio United States 43 3.0k 1.0× 3.4k 1.2× 954 1.3× 735 1.1× 376 0.8× 86 6.1k
Darren P. Baker United States 40 3.3k 1.1× 1.8k 0.6× 1.4k 1.9× 600 0.9× 363 0.8× 103 5.8k
Konrad Hüppi United States 37 3.4k 1.1× 2.0k 0.7× 1.0k 1.4× 602 0.9× 1.0k 2.2× 115 5.8k
Åke Lundwall Sweden 39 1.5k 0.5× 813 0.3× 381 0.5× 602 0.9× 535 1.2× 100 5.0k
Dale L. Bodian United States 24 1.5k 0.5× 700 0.2× 375 0.5× 747 1.1× 323 0.7× 44 3.1k

Countries citing papers authored by Pierre Ferrier

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Ferrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Ferrier

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Ferrier. A scholar is included among the top collaborators of Pierre Ferrier 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 Pierre Ferrier. Pierre Ferrier 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.
Hoareau‐Aveilla, Coralie, Thibaud Valentin, Cathy Quelen, et al.. (2015). Reversal of microRNA-150 silencing disadvantages crizotinib-resistant NPM-ALK(+) cell growth. Journal of Clinical Investigation. 125(9). 3505–3518. 34 indexed citations
2.
Jaeger, Sébastien, et al.. (2015). Long-Range Control of V(D)J Recombination & Allelic Exclusion. Advances in immunology. 128. 363–413. 19 indexed citations
3.
Fenouil, Romain, Pierre Cauchy, Frédéric Koch, et al.. (2012). CpG islands and GC content dictate nucleosome depletion in a transcription-independent manner at mammalian promoters. Genome Research. 22(12). 2399–2408. 161 indexed citations
4.
Baranek, Thomas, Thien‐Phong Vu Manh, Yannick O. Alexandre, et al.. (2012). Differential Responses of Immune Cells to Type I Interferon Contribute to Host Resistance to Viral Infection. Cell Host & Microbe. 12(4). 571–584. 79 indexed citations
5.
Pękowska, Aleksandra, Touati Benoukraf, Joaquin Zacarías-Cabeza, et al.. (2011). H3K4 tri‐methylation provides an epigenetic signature of active enhancers. The EMBO Journal. 30(20). 4198–4210. 249 indexed citations
6.
Spicuglia, Salvatore, Joaquin Zacarías-Cabeza, Aleksandra Pękowska, & Pierre Ferrier. (2010). Epigenetic regulation of antigen receptor gene rearrangement. F1000 Biology Reports. 2. 8 indexed citations
7.
Pękowska, Aleksandra, Touati Benoukraf, Pierre Ferrier, & Salvatore Spicuglia. (2010). A unique H3K4me2 profile marks tissue-specific gene regulation. Genome Research. 20(11). 1493–1502. 102 indexed citations
8.
Bonnet, Marie, Fang Huang, Touati Benoukraf, et al.. (2009). Duality of Enhancer Functioning Mode Revealed in a Reduced TCRβ Gene Enhancer Knockin Mouse Model. The Journal of Immunology. 183(12). 7939–7948. 11 indexed citations
9.
Bonnet, Marie, Pierre Ferrier, & Salvatore Spicuglia. (2009). Molecular Genetics at the T-Cell Receptor β Locus: Insights into the Regulation of V(D)J Recombination. Advances in experimental medicine and biology. 650. 116–132. 10 indexed citations
10.
Mugnier, Bénédicte, Béatrice Nal, Christophe Verthuy, et al.. (2008). Coronin-1A Links Cytoskeleton Dynamics to TCRαβ-Induced Cell Signaling. PLoS ONE. 3(10). e3467–e3467. 63 indexed citations
11.
Oestreich, Kenneth J., et al.. (2006). Regulation of TCRβ Gene Assembly by a Promoter/Enhancer Holocomplex. Immunity. 24(4). 381–391. 82 indexed citations
12.
Lécine, Patrick, Jacques A. Nunès, Salvatore Spicuglia, et al.. (2001). Novel CD28-Responsive Enhancer Activated by CREB/ATF and AP-1 Families in the Human Interleukin-2 Receptor α-Chain Locus. Molecular and Cellular Biology. 21(14). 4515–4527. 26 indexed citations
13.
Mancini, Stéphane J.C., Serge M. Candéias, James P. Di Santo, et al.. (2001). TCRA Gene Rearrangement in Immature Thymocytes in Absence of CD3, Pre-TCR, and TCR Signaling. The Journal of Immunology. 167(8). 4485–4493. 19 indexed citations
14.
Leduc, Isabelle, William M. Hempel, N. Mathieu, et al.. (2000). T Cell Development in TCRβ Enhancer-Deleted Mice: Implications for αβ T Cell Lineage Commitment and Differentiation. The Journal of Immunology. 165(3). 1364–1373. 33 indexed citations
15.
Hempel, William M., et al.. (1998). Accessibility Control of V(D)J Recombination: Lessons from Gene Targeting. Advances in immunology. 69. 309–352. 41 indexed citations
16.
Li, Suzanne C., Paul B. Rothman, Mark Boothby, et al.. (1991). Control of Immunoglobulin Heavy Chain Constant Region Gene Expression. Advances in experimental medicine and biology. 292. 245–251. 4 indexed citations
17.
Ferrier, Pierre, B Krippl, Andrew J. Furley, et al.. (1989). Control of VDJ Recombinase Activity. Cold Spring Harbor Symposia on Quantitative Biology. 54(0). 191–202. 13 indexed citations
18.
Ferrier, Pierre, et al.. (1970). Sex chromosome mosaicism in disorders of sexual differentiation: Incidence in various tissues. The Journal of Pediatrics. 76(5). 739–744. 11 indexed citations
19.
Ferrier, Pierre, et al.. (1967). Silver's syndrome: Report of a case with chromosomal and dermatoglyphic study. The Journal of Pediatrics. 70(3). 438–440. 16 indexed citations
20.
Ferrier, Pierre, et al.. (1964). CONGENITAL ASYMMETRY ASSOCIATED WITH DIPLOID-TRIPLOID MOSAICISM AND LARGE SATELLITES. The Lancet. 283(7324). 80–82. 92 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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