Mathieu Boxus

1.8k total citations
28 papers, 1.3k citations indexed

About

Mathieu Boxus is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Mathieu Boxus has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 12 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Agronomy and Crop Science. Recurrent topics in Mathieu Boxus's work include T-cell and Retrovirus Studies (17 papers), Vector-Borne Animal Diseases (12 papers) and Animal Disease Management and Epidemiology (11 papers). Mathieu Boxus is often cited by papers focused on T-cell and Retrovirus Studies (17 papers), Vector-Borne Animal Diseases (12 papers) and Animal Disease Management and Epidemiology (11 papers). Mathieu Boxus collaborates with scholars based in Belgium, France and United Kingdom. Mathieu Boxus's co-authors include Luc Willems, Richard Kettmann, Arnaud Florins, Jean‐Claude Twizere, Nicolas Gillet, Sébastien Legros, Pierre Kerkhofs, C. Letellier, Arsène Burny and Julien Defoiche and has published in prestigious journals such as Blood, Cancer Research and Oncogene.

In The Last Decade

Mathieu Boxus

28 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Boxus Belgium 19 881 676 546 337 173 28 1.3k
M. Denyer United Kingdom 16 357 0.4× 736 1.1× 473 0.9× 283 0.8× 209 1.2× 32 1.3k
A. Burny Belgium 23 853 1.0× 686 1.0× 533 1.0× 339 1.0× 182 1.1× 51 1.3k
Vanessa Contreras France 15 752 0.9× 303 0.4× 327 0.6× 202 0.6× 118 0.7× 35 1.3k
Hideki Tozawa Japan 20 1.2k 1.4× 544 0.8× 535 1.0× 176 0.5× 189 1.1× 45 1.5k
Irene Álvarez Argentina 19 677 0.8× 601 0.9× 427 0.8× 132 0.4× 47 0.3× 40 918
Madeleine Duc Dodon France 21 938 1.1× 666 1.0× 628 1.2× 352 1.0× 125 0.7× 53 1.4k
Suresh H. Basagoudanavar India 15 299 0.3× 251 0.4× 180 0.3× 320 0.9× 278 1.6× 54 956
Anat Melamed United Kingdom 19 1.0k 1.2× 844 1.2× 761 1.4× 280 0.8× 72 0.4× 40 1.3k
Mohamed Nejmeddine Morocco 11 366 0.4× 221 0.3× 191 0.3× 155 0.5× 104 0.6× 23 726
R. Mamoun France 18 567 0.6× 398 0.6× 274 0.5× 390 1.2× 324 1.9× 39 1.2k

Countries citing papers authored by Mathieu Boxus

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Boxus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Boxus

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Boxus. A scholar is included among the top collaborators of Mathieu Boxus 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 Mathieu Boxus. Mathieu Boxus 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.
Dendouga, Najoua, et al.. (2016). Comparative preclinical evaluation of AS01 versus other Adjuvant Systems in a candidate herpes zoster glycoprotein E subunit vaccine. Human Vaccines & Immunotherapeutics. 12(8). 2092–2095. 23 indexed citations
2.
Boxus, Mathieu, et al.. (2014). Antibody avidity measurements in recipients of Cervarix® vaccine following a two-dose schedule or a three-dose schedule. Vaccine. 32(26). 3232–3236. 31 indexed citations
3.
Carpentier, Alexandre, et al.. (2014). Checkpoints modulation by the Human T-lymphotropic virus type 1 Tax protein. Retrovirology. 11(S1). 1 indexed citations
4.
Boxus, Mathieu, et al.. (2013). Acetylation at lysine 346 controls the transforming activity of the HTLV-1 Tax oncoprotein in the Rat-1 fibroblast model. Retrovirology. 10(1). 75–75. 8 indexed citations
5.
Peixoto, Paul, V Castronovo, Olivier Peulen, et al.. (2012). HDAC5 is required for maintenance of pericentric heterochromatin, and controls cell-cycle progression and survival of human cancer cells. Cell Death and Differentiation. 19(7). 1239–1252. 56 indexed citations
6.
Legros, Sébastien, Mathieu Boxus, Jean‐Stéphane Gatot, et al.. (2011). The HTLV-1 Tax protein inhibits formation of stress granules by interacting with histone deacetylase 6. Oncogene. 30(38). 4050–4062. 42 indexed citations
7.
Olindo, Stéphane, Nicolas Gillet, Sabrina Rodríguez, et al.. (2011). Safety of long-term treatment of HAM/TSP patients with valproic acid. Blood. 118(24). 6306–6309. 39 indexed citations
8.
Rodríguez, Sabrina, Arnaud Florins, Nicolas Gillet, et al.. (2011). Preventive and Therapeutic Strategies for Bovine Leukemia Virus: Lessons for HTLV. Viruses. 3(7). 1210–1248. 150 indexed citations
9.
Boxus, Mathieu, Jean‐Claude Twizere, Sébastien Legros, Richard Kettmann, & Luc Willems. (2011). Interaction of HTLV-1 Tax with minichromosome maintenance proteins accelerates the replication timing program. Retrovirology. 8(S1). 2 indexed citations
10.
Boxus, Mathieu, Jean‐Claude Twizere, Sébastien Legros, Richard Kettmann, & Luc Willems. (2011). Interaction of HTLV-1 Tax with minichromosome maintenance proteins accelerates the replication timing program. Blood. 119(1). 151–160. 20 indexed citations
11.
Delvigne, Frank, Nathalie Gorret, Peter Neubauer, et al.. (2011). Characterization of the response of GFP microbial biosensors sensitive to substrate limitation in scale-down bioreactors. Biochemical Engineering Journal. 55(2). 131–139. 15 indexed citations
13.
Boxus, Mathieu & Luc Willems. (2009). Mechanisms of HTLV-1 persistence and transformation. British Journal of Cancer. 101(9). 1497–1501. 95 indexed citations
14.
Delvigne, Frank, et al.. (2009). Bioreactor mixing efficiency modulates the activity of a prpoS::GFP reporter gene in E. coli. Microbial Cell Factories. 8(1). 15–15. 50 indexed citations
15.
Florins, Arnaud, Mathieu Boxus, Fabian Vandermeers, et al.. (2008). Emphasis on cell turnover in two hosts infected by bovine leukemia virus: A rationale for host susceptibility to disease. Veterinary Immunology and Immunopathology. 125(1-2). 1–7. 31 indexed citations
16.
Boxus, Mathieu, et al.. (2008). The HTLV-1 Tax interactome. Retrovirology. 5(1). 76–76. 204 indexed citations
17.
Gillet, Nicolas, Arnaud Florins, Mathieu Boxus, et al.. (2007). Mechanisms of leukemogenesis induced by bovine leukemia virus: prospects for novel anti-retroviral therapies in human. Retrovirology. 4(1). 18–18. 289 indexed citations
18.
19.
Debacq, Christophe, Nicolas Gillet, Becca Asquith, et al.. (2006). Peripheral Blood B-Cell Death Compensates for Excessive Proliferation in Lymphoid Tissues and Maintains Homeostasis in Bovine Leukemia Virus-InfectedSheep. Journal of Virology. 80(19). 9710–9719. 21 indexed citations
20.
Boxus, Mathieu, C. Letellier, & Pierre Kerkhofs. (2005). Real Time RT-PCR for the detection and quantitation of bovine respiratory syncytial virus. Journal of Virological Methods. 125(2). 125–130. 85 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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