Thomas Wenner

847 total citations
17 papers, 687 citations indexed

About

Thomas Wenner is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Thomas Wenner has authored 17 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Physiology and 6 papers in Plant Science. Recurrent topics in Thomas Wenner's work include Telomeres, Telomerase, and Senescence (6 papers), DNA Repair Mechanisms (5 papers) and Plant Disease Resistance and Genetics (5 papers). Thomas Wenner is often cited by papers focused on Telomeres, Telomerase, and Senescence (6 papers), DNA Repair Mechanisms (5 papers) and Plant Disease Resistance and Genetics (5 papers). Thomas Wenner collaborates with scholars based in France, Luxembourg and Japan. Thomas Wenner's co-authors include Céline Douarre, Dennis Gómez, Jean‐François Riou, Kazuo Shin‐ya, Marie-Françoise O’Donohue, Bernard Decaris, Pierre Leblond, Hamid Morjani, Marie‐Josèphe Giraud‐Panis and Chantal Trentesaux and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Thomas Wenner

17 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Wenner France 11 572 120 74 73 67 17 687
Minehiko Yokoyama Japan 13 291 0.5× 98 0.8× 30 0.4× 51 0.7× 56 0.8× 23 531
Melissa A. Anderson Australia 10 832 1.5× 129 1.1× 295 4.0× 17 0.2× 63 0.9× 14 982
Maria Plana Spain 15 383 0.7× 24 0.2× 102 1.4× 14 0.2× 27 0.4× 43 527
Cindy Grandjenette South Korea 8 273 0.5× 45 0.4× 12 0.2× 30 0.4× 43 0.6× 10 372
Betsy N. Perry United States 8 199 0.3× 65 0.5× 18 0.2× 30 0.4× 52 0.8× 8 450
Yoshio Takada Japan 9 260 0.5× 48 0.4× 26 0.4× 106 1.5× 17 0.3× 20 500
Géraldine Mitou France 9 325 0.6× 18 0.1× 113 1.5× 28 0.4× 43 0.6× 10 580
Hong Shik Yun South Korea 12 300 0.5× 23 0.2× 21 0.3× 17 0.2× 87 1.3× 19 476
Yuko Katsuno Japan 8 524 0.9× 18 0.1× 44 0.6× 17 0.2× 74 1.1× 10 596
Kyle Vaughn Laster China 13 296 0.5× 39 0.3× 17 0.2× 22 0.3× 83 1.2× 34 447

Countries citing papers authored by Thomas Wenner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Wenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Wenner

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Wenner. A scholar is included among the top collaborators of Thomas Wenner 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 Thomas Wenner. Thomas Wenner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Medves, Sandrine, Sophie Gazzo, Delphine Poncet, et al.. (2016). A high rate of telomeric sister chromatid exchange occurs in chronic lymphocytic leukaemia B‐cells. British Journal of Haematology. 174(1). 57–70. 15 indexed citations
2.
Bachy, Emmanuel, et al.. (2016). Rapamycin safeguards lymphocytes from DNA damage accumulation in vivo. European Journal of Cell Biology. 95(9). 331–341. 7 indexed citations
3.
Merghoub, Nawal, Hassan El Btaouri, Laïla Benbacer, et al.. (2016). Tomentosin Induces Telomere Shortening and Caspase‐Dependant Apoptosis in Cervical Cancer Cells. Journal of Cellular Biochemistry. 118(7). 1689–1698. 35 indexed citations
4.
Medves, Sandrine, Sophie Gazzo, Etienne Moussay, et al.. (2012). Mechanisms of Telomere Maintenance Dysfunction in B-Chronic Lymphocytic Leukemia Through CpG Island Methylation. Blood. 120(21). 3489–3489. 1 indexed citations
5.
Begon, Dominique, Guy Berchem, Jacques Boniver, et al.. (2011). The human epidermal growth factor receptor (EGFR) gene in European patients with advanced colorectal cancer harbors infrequent mutations in its tyrosine kinase domain. BMC Medical Genetics. 12(1). 144–144. 39 indexed citations
6.
Moussay, Etienne, Valérie Palissot, Laurent Vallar, et al.. (2010). Determination of genes and microRNAs involved in the resistance to fludarabine in vivo in chronic lymphocytic leukemia. Molecular Cancer. 9(1). 115–115. 67 indexed citations
7.
Wenner, Thomas, et al.. (2009). Trf1 Is Not Required for Proliferation or Functional Telomere Maintenance in Chicken DT40 Cells. Molecular Biology of the Cell. 20(10). 2563–2571. 7 indexed citations
8.
Wenner, Thomas, et al.. (2008). Ku70 prevents genome instability resulting from heterozygosity of the telomerase RNA component in a vertebrate tumour line. DNA repair. 7(5). 713–724. 8 indexed citations
9.
Guittat, Lionel, Thomas Wenner, Émilie Bayart, et al.. (2008). Topoisomerase IIIα is required for normal proliferation and telomere stability in alternative lengthening of telomeres. The EMBO Journal. 27(10). 1513–1524. 51 indexed citations
10.
Gómez, Dennis, Thomas Wenner, Céline Douarre, et al.. (2006). Telomestatin-induced Telomere Uncapping Is Modulated by POT1 through G-overhang Extension in HT1080 Human Tumor Cells. Journal of Biological Chemistry. 281(50). 38721–38729. 174 indexed citations
11.
Gómez, Dennis, Marie-Françoise O’Donohue, Thomas Wenner, et al.. (2006). The G-quadruplex Ligand Telomestatin Inhibits POT1 Binding to Telomeric Sequences In vitro and Induces GFP-POT1 Dissociation from Telomeres in Human Cells. Cancer Research. 66(14). 6908–6912. 171 indexed citations
12.
Roth, Virginie, Bertrand Aigle, Robert Bunet, et al.. (2004). Differential and Cross-Transcriptional Control of Duplicated Genes Encoding Alternative Sigma Factors inStreptomyces ambofaciens. Journal of Bacteriology. 186(16). 5355–5365. 10 indexed citations
13.
Wenner, Thomas, Virginie Roth, Gilles Fischer, et al.. (2003). End‐to‐end fusion of linear deleted chromosomes initiates a cycle of genome instability in Streptomyces ambofaciens. Molecular Microbiology. 50(2). 411–425. 29 indexed citations
14.
15.
Dary, Annie, Patricia Martín, Thomas Wenner, Bernard Decaris, & Pierre Leblond. (2000). DNA rearrangements at the extremities of the Streptomyces ambofaciens linear chromosome: Evidence for developmental control. Biochimie. 82(1). 29–34. 9 indexed citations
16.
Dary, Annie, Patricia Martín, Thomas Wenner, Pierre Leblond, & Bernard Decaris. (1999). Evolution of the linear chromosomal DNA in : is genomic variability developmentally modulated?. Research in Microbiology. 150(7). 439–445. 6 indexed citations
17.
Fischer, Gilles, Thomas Wenner, Bernard Decaris, & Pierre Leblond. (1998). Chromosomal arm replacement generates a high level of intraspecific polymorphism in the terminal inverted repeats of the linear chromosomal DNA of Streptomyces ambofaciens. Proceedings of the National Academy of Sciences. 95(24). 14296–14301. 44 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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