Eric Wattel

6.7k total citations
132 papers, 4.5k citations indexed

About

Eric Wattel is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Eric Wattel has authored 132 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Hematology, 44 papers in Immunology and 33 papers in Molecular Biology. Recurrent topics in Eric Wattel's work include Acute Myeloid Leukemia Research (55 papers), T-cell and Retrovirus Studies (42 papers) and Animal Disease Management and Epidemiology (29 papers). Eric Wattel is often cited by papers focused on Acute Myeloid Leukemia Research (55 papers), T-cell and Retrovirus Studies (42 papers) and Animal Disease Management and Epidemiology (29 papers). Eric Wattel collaborates with scholars based in France, United States and Belgium. Eric Wattel's co-authors include Pierre Fenaux, Claude Preudhomme, F Bauters, Simon Wain–Hobson, Bruno Quesnel, Franck Mortreux, Antoine Gessain, B Hecquet, Pierre Morel and Jean‐Pierre Vartanian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Eric Wattel

130 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Wattel France 34 2.0k 1.4k 1.4k 1.2k 895 132 4.5k
Ichiro Kubonishi Japan 28 954 0.5× 1.5k 1.1× 2.1k 1.6× 458 0.4× 1.3k 1.5× 110 4.5k
Naokuni Uike Japan 37 772 0.4× 743 0.5× 2.5k 1.8× 852 0.7× 807 0.9× 151 5.1k
Kaoru Uchimaru Japan 27 786 0.4× 818 0.6× 1.7k 1.2× 335 0.3× 926 1.0× 138 3.3k
D Catovsky United Kingdom 38 1.4k 0.7× 731 0.5× 2.6k 1.9× 2.1k 1.8× 591 0.7× 106 5.1k
E Matutes United Kingdom 36 1.1k 0.5× 542 0.4× 1.4k 1.0× 1.5k 1.3× 284 0.3× 85 3.3k
B F Haynes United States 33 651 0.3× 1.3k 0.9× 1.8k 1.3× 261 0.2× 261 0.3× 48 3.8k
Jun Taguchi Japan 29 691 0.3× 347 0.2× 864 0.6× 354 0.3× 227 0.3× 194 2.9k
Shuro Yoshida Japan 16 775 0.4× 669 0.5× 969 0.7× 286 0.2× 162 0.2× 67 2.4k
Kunihiro Tsukasaki Japan 39 294 0.1× 1.0k 0.7× 3.8k 2.8× 319 0.3× 1.9k 2.1× 183 5.5k
FW Ruscetti United States 27 869 0.4× 969 0.7× 1.3k 0.9× 303 0.3× 153 0.2× 65 2.7k

Countries citing papers authored by Eric Wattel

Since Specialization
Citations

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

Fields of papers citing papers by Eric Wattel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Wattel

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Wattel. A scholar is included among the top collaborators of Eric Wattel 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 Eric Wattel. Eric Wattel 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.
Lapillonne, Hélène, Meyling Cheok, Claude Preudhomme, et al.. (2022). Prognostic impact of ABCA3 expression in adult and pediatric acute myeloid leukemia: an ALFA-ELAM02 joint study. Blood Advances. 6(9). 2773–2777. 5 indexed citations
2.
Thénoz, Morgan, Guillaume Giraud, Emmanuel Combe, et al.. (2020). Intragenic recruitment of NF-κB drives splicing modifications upon activation by the oncogene Tax of HTLV-1. Nature Communications. 11(1). 3045–3045. 25 indexed citations
3.
Koering, Catherine, Delphine Maucort‐Boulch, Guillaume Robert, et al.. (2016). An miRNA–DNMT1 Axis Is Involved in Azacitidine Resistance and Predicts Survival in Higher-Risk Myelodysplastic Syndrome and Low Blast Count Acute Myeloid Leukemia. Clinical Cancer Research. 23(12). 3025–3034. 29 indexed citations
4.
Thénoz, Morgan, Antoine Gessain, Olivier Gout, et al.. (2014). HTLV-1 bZIP Factor HBZ Promotes Cell Proliferation and Genetic Instability by Activating OncomiRs. Cancer Research. 74(21). 6082–6093. 71 indexed citations
5.
Thépot, Sylvain, Simone Boehrer, Thomas Prébet, et al.. (2014). A phase I/II trial of Erlotinib in higher risk myelodysplastic syndromes and acute myeloid leukemia after azacitidine failure. Leukemia Research. 38(12). 1430–1434. 13 indexed citations
6.
Renzis, Benoît De, Véronique Mansat‐De Mas, Eric Wattel, et al.. (2013). Prognostic impact of JAK2V617F mutation in myelodysplatic syndromes: A matched case control study. Leukemia Research Reports. 2(2). 64–66. 7 indexed citations
7.
Sibon, David, Maroun Karam, Marie‐Hélène Delfau‐Larue, et al.. (2011). HTLV‐1 positive and negative T cells cloned from infected individuals display telomerase and telomere genes deregulation that predominate in activated but untransformed CD4+ T cells. International Journal of Cancer. 131(4). 821–833. 8 indexed citations
8.
9.
Poncet, Delphine, David Pérol, Claude Preudhomme, et al.. (2010). Telomere deregulations possess cytogenetic, phenotype, and prognostic specificities in acute leukemias. Experimental Hematology. 39(2). 195–202.e2. 35 indexed citations
10.
Pomier, Carole, Christophe Debacq, Pierre Kerkhofs, et al.. (2008). Early and transient reverse transcription during primary deltaretroviral infection of sheep. Retrovirology. 5(1). 16–16. 17 indexed citations
11.
Allegretta, Mark, et al.. (2005). HPRT mutations, TCR gene rearrangements, and HTLV‐1 integration sites define in vivo T‐cell clonal lineages. Environmental and Molecular Mutagenesis. 45(2-3). 326–337. 4 indexed citations
12.
Gabet, Anne‐Sophie, Vincent Moulés, David Sibon, et al.. (2005). Endemic versus epidemic viral spreads display distinct patterns of HTLV-2b replication. Virology. 345(1). 13–21. 6 indexed citations
13.
14.
Mortreux, Franck, et al.. (2003). Molecular and cellular aspects of HTLV-1 associated leukemogenesis in vivo. Leukemia. 17(1). 26–38. 91 indexed citations
15.
16.
Leclercq, India, et al.. (2000). Basis of HTLV Type 1 Target Site Selection. AIDS Research and Human Retroviruses. 16(16). 1653–1659. 12 indexed citations
17.
Poulain, Stéphanie, Pascale Lepelley, Nathalie Cambier, et al.. (1999). Assessment of P-Glycoprotein Expression by Immunocytochemistry and Flow Cytometry Using Two Different Monoclonal Antibodies Coupled with Functional Efflux Analysis in 34 Patients with Acute Myeloid Leukemia. Advances in experimental medicine and biology. 457. 57–63. 6 indexed citations
18.
Wattel, Eric, et al.. (1994). Androgen therapy in myelodysplastic syndromes with thrombocytopenia: a report on 20 cases. British Journal of Haematology. 87(1). 205–208. 56 indexed citations
19.
Façon, Thierry, Jean Luc Laı̈, Claude Preudhomme, et al.. (1993). Improved cytogenetic analysis of bone marrow plasma cells after cytokine stimulation in multiple myeloma: a report on 46 patients. British Journal of Haematology. 84(4). 743–745. 38 indexed citations
20.
Wattel, Eric, Martine Mariotti, Emmanuel Gordien, et al.. (1992). Human T Lymphotropic Virus (HTLV) Type I and II DNA Amplification in HTLV-I/II-Seropositive Blood Donors of the French West Indies. The Journal of Infectious Diseases. 165(2). 369–372. 19 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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