Claudine Pique

3.0k total citations
66 papers, 2.5k citations indexed

About

Claudine Pique is a scholar working on Immunology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Claudine Pique has authored 66 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Immunology, 31 papers in Agronomy and Crop Science and 30 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Claudine Pique's work include T-cell and Retrovirus Studies (54 papers), Animal Disease Management and Epidemiology (31 papers) and Vector-Borne Animal Diseases (30 papers). Claudine Pique is often cited by papers focused on T-cell and Retrovirus Studies (54 papers), Animal Disease Management and Epidemiology (31 papers) and Vector-Borne Animal Diseases (30 papers). Claudine Pique collaborates with scholars based in France, United States and Lebanon. Claudine Pique's co-authors include Marie‐Christine Dokhélar, Kathryn S. Jones, Olivier Hermine, Thomas Tursz, D Pham, Lélia Delamarre, M C Dokhélar, Arielle R. Rosenberg, Vincent Blot and Sophie Lambert and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Claudine Pique

65 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudine Pique France 30 1.8k 1.2k 1.2k 560 168 66 2.5k
R. Kettmann Belgium 30 1.9k 1.1× 1.5k 1.2× 1.2k 1.0× 696 1.2× 110 0.7× 84 2.6k
Louis Gazzolo France 29 1.4k 0.8× 809 0.7× 755 0.6× 758 1.4× 220 1.3× 101 2.5k
Patrick L. Green United States 32 2.7k 1.5× 2.1k 1.7× 2.0k 1.7× 611 1.1× 129 0.8× 84 3.2k
Yorifumi Satou Japan 24 2.1k 1.2× 1.6k 1.3× 1.5k 1.2× 465 0.8× 169 1.0× 76 2.7k
Marie‐Christine Dokhélar France 22 1.0k 0.6× 653 0.5× 612 0.5× 290 0.5× 128 0.8× 32 1.4k
Donna M. D’Agostino Italy 26 935 0.5× 590 0.5× 560 0.5× 938 1.7× 247 1.5× 58 2.0k
Susan J. Marriott United States 27 1.6k 0.9× 1.3k 1.0× 1.2k 1.0× 472 0.8× 66 0.4× 57 2.1k
Madeleine Duc Dodon France 21 938 0.5× 666 0.5× 628 0.5× 352 0.6× 127 0.8× 53 1.4k
Jun‐ichirou Yasunaga Japan 36 3.4k 1.9× 2.7k 2.2× 2.6k 2.2× 814 1.5× 91 0.5× 104 4.2k
Y. Cleuter Belgium 27 1.6k 0.9× 1.2k 1.0× 958 0.8× 689 1.2× 37 0.2× 73 2.3k

Countries citing papers authored by Claudine Pique

Since Specialization
Citations

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

Fields of papers citing papers by Claudine Pique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudine Pique

This figure shows the co-authorship network connecting the top 25 collaborators of Claudine Pique. A scholar is included among the top collaborators of Claudine Pique 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 Claudine Pique. Claudine Pique 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.
2.
Pique, Claudine, et al.. (2022). Tax, marionnettiste de la transcription du HTLV-1. médecine/sciences. 38(4). 359–365. 3 indexed citations
3.
Marçais, Ambroise, Ludovic Lhermitte, Maria Artesi, et al.. (2020). Targeted deep sequencing reveals clonal and subclonal mutational signatures in Adult T-cell leukemia/lymphoma and defines an unfavorable indolent subtype. Leukemia. 35(3). 764–776. 21 indexed citations
4.
Forlani, Greta, Marco Baratella, Alessandra Tedeschi, et al.. (2019). HTLV-1 HBZ Protein Resides Exclusively in the Cytoplasm of Infected Cells in Asymptomatic Carriers and HAM/TSP Patients. Frontiers in Microbiology. 10. 819–819. 19 indexed citations
5.
Pique, Claudine & Tarik Issad. (2018). Tax : une oncoprotéine virale qui aime les CREB sucrés !. médecine/sciences. 34(2). 120–122. 1 indexed citations
6.
Marçais, Ambroise, Julie Bruneau, Katia Hanssens, et al.. (2016). Adult T cell leukemia aggressivenness correlates with loss of both 5-hydroxymethylcytosine and TET2 expression. Oncotarget. 8(32). 52256–52268. 19 indexed citations
7.
Bonnet, Amandine, et al.. (2014). A Non-SUMOylated Tax Protein Is Still Functional for NF-κB Pathway Activation. Journal of Virology. 88(18). 10655–10661. 12 indexed citations
8.
Kfoury, Youmna, Rihab Nasr, Chloé Journo, et al.. (2012). The Multifaceted Oncoprotein Tax. Advances in cancer research. 113. 85–120. 39 indexed citations
9.
Bonnet, Amandine, Maxime Chazal, Voahangy Randrianarison, et al.. (2011). Predominant role of Tax sumoylation in Tax-induced NF-kB activation in T cells. Retrovirology. 8(S1). 1 indexed citations
10.
Ghez, David, Yves Lepelletier, Kathryn S. Jones, Claudine Pique, & Olivier Hermine. (2010). Current concepts regarding the HTLV-1 receptor complex. Retrovirology. 7(1). 99–99. 55 indexed citations
11.
Grigorov, Boyan, Sarah Watson, Claudine Pique, et al.. (2009). A role for CD81 on the late steps of HIV-1 replication in a chronically infected T cell line. Retrovirology. 6(1). 28–28. 77 indexed citations
12.
Muriaux, Delphine, Bertha Cecilia Ramírez, Étienne Decroly, et al.. (2008). Human Discs Large Is a New Negative Regulator of Human Immunodeficiency Virus-1 Infectivity. Molecular Biology of the Cell. 20(1). 498–508. 19 indexed citations
13.
Ghez, David, Yves Lepelletier, Sophie Lambert, et al.. (2006). Neuropilin-1 Is Involved in Human T-Cell Lymphotropic Virus Type 1 Entry. Journal of Virology. 80(14). 6844–6854. 145 indexed citations
14.
15.
Ureta‐Vidal, Abel, Claudine Pique, Zacarias Garcia, et al.. (2001). Human T Cell Leukemia Virus Type I (HTLV‐I) Infection Induces Greater Expansions of CD8 T Lymphocytes in Persons with HTLV‐I–Associated Myelopathy/Tropical Spastic Paraparesis than in Asymptomatic Carriers. The Journal of Infectious Diseases. 183(6). 857–864. 15 indexed citations
16.
Blanc, Isabelle, Lélia Delamarre, Arielle R. Rosenberg, et al.. (2001). HTLV-1 structural proteins. Virus Research. 78(1-2). 5–16. 20 indexed citations
17.
Pique, Claudine & M C Dokhélar. (2000). In Vivo Production of Rof and Tof Proteins of HTLV Type 1: Evidence from Cytotoxic T Lymphocytes. AIDS Research and Human Retroviruses. 16(16). 1783–1786. 10 indexed citations
18.
Pique, Claudine, et al.. (2000). Evidence for the Chronic in Vivo Production of Human T Cell Leukemia Virus Type I Rof and Tof Proteins from Cytotoxic T Lymphocytes Directed against Viral Peptides. The Journal of Experimental Medicine. 191(3). 567–572. 89 indexed citations
19.
Rosenberg, Arielle R., Lélia Delamarre, Claudine Pique, & Marie‐Christine Dokhélar. (1997). Les glycoprotéines d'enveloppe du rétrovirus HTLV-I. Virologie. 1(6). 463–469. 1 indexed citations
20.
Pique, Claudine, F Saal, J. Périès, et al.. (1994). Functional comparison between HTLV-I envelopes originating from TSP/HAM or ATL cell lines.. PubMed. 7(4). 319–24. 4 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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