Jorge Vialard

2.2k total citations
20 papers, 1.0k citations indexed

About

Jorge Vialard is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Jorge Vialard has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Jorge Vialard's work include DNA Repair Mechanisms (4 papers), Cancer-related Molecular Pathways (4 papers) and Fibroblast Growth Factor Research (3 papers). Jorge Vialard is often cited by papers focused on DNA Repair Mechanisms (4 papers), Cancer-related Molecular Pathways (4 papers) and Fibroblast Growth Factor Research (3 papers). Jorge Vialard collaborates with scholars based in Belgium, United States and France. Jorge Vialard's co-authors include Clare H. McGowan, Inez Van de Weyer, Cécile‐Marie Aliouat‐Denis, Najoua Dendouga, Michel Janicot, Xiaobo Chen, Roberta Melchionna, Pierre-Henri L. Gaillard, Michael N. Boddy and Alessandra Blasina and has published in prestigious journals such as Blood, Molecular Cell and Molecular and Cellular Biology.

In The Last Decade

Jorge Vialard

20 papers receiving 1.0k citations

Peers

Jorge Vialard
Luz García‐Alonso United Kingdom
Gregory McAllister Switzerland
Jonathan Low United States
Emanuel Gonçalves United Kingdom
Jani Saarela Finland
Eric Wen Su United States
Luz García‐Alonso United Kingdom
Jorge Vialard
Citations per year, relative to Jorge Vialard Jorge Vialard (= 1×) peers Luz García‐Alonso

Countries citing papers authored by Jorge Vialard

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Vialard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Vialard

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Vialard. A scholar is included among the top collaborators of Jorge Vialard 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 Jorge Vialard. Jorge Vialard 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.
Wang, Weixue, Laurence Mévellec, Samantha J. Allen, et al.. (2021). Discovery of an Allosteric, Inactive Conformation-Selective Inhibitor of Full-Length HPK1 Utilizing a Kinase Cascade Assay. Biochemistry. 60(41). 3114–3124. 12 indexed citations
2.
Simm, Jaak, Günter Klambauer, Ádám Arany, et al.. (2018). Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery. Cell chemical biology. 25(5). 611–618.e3. 140 indexed citations
3.
Lupo, Barbara, Jorge Vialard, Francesco Sassi, et al.. (2016). Tankyrase inhibition impairs directional migration and invasion of lung cancer cells by affecting microtubule dynamics and polarity signals. BMC Biology. 14(1). 5–5. 19 indexed citations
4.
Lupo, Barbara, Jorge Vialard, Andrea Bertotti, Letizia Lanzetti, & Livio Trusolino. (2015). Abstract 4148: Tankyrase inhibition impairs directional migration and invasion of lung cancer cells by affecting microtubule dynamics and polarity signals. Cancer Research. 75(15_Supplement). 4148–4148. 1 indexed citations
5.
Querolle, Olivier, Patrick Angibaud, N. Esser, et al.. (2015). Abstract 3640: Discovery of quinazolinones as fibroblast growth factor receptor (FGFR1-4) kinase inhibitors. Cancer Research. 75(15_Supplement). 3640–3640. 1 indexed citations
6.
Perera, Timothy, Jorge Vialard, Tinne Verhulst, et al.. (2014). Abstract 1738: JNJ-42756493 is an inhibitor of FGFR-1, 2, 3 and 4 with nanomolar affinity for targeted therapy. Cancer Research. 74(19_Supplement). 1738–1738. 8 indexed citations
7.
Ogata, Souichi, Caroline Paulussen, Inez Van de Weyer, et al.. (2014). Abstract LB-329: Identification of alternative mechanisms of resistance to FGFR inhibitor treatment in FGFR1-amplified large cell compared to FGFR1-amplified small cell lung cancer models. Cancer Research. 74(19_Supplement). LB–329. 4 indexed citations
8.
Crescenzo, Ramona, Francesco Abate, Elena Lasorsa, et al.. (2014). Convergent Mutations and New Kinase Fusions Lead to Oncogenic STAT3 Activation in Anaplastic Large Cell Lymphoma. Blood. 124(21). 781–781. 1 indexed citations
9.
Cargnelutti, Marilisa, Simona Corso, Laurence Mévellec, et al.. (2014). Activation of RAS family members confers resistance to ROS1 targeting drugs. Oncotarget. 6(7). 5182–5194. 65 indexed citations
10.
Dendouga, Najoua, Hui Gao, Dieder Moechars, et al.. (2005). Disruption of Murine Mus81 Increases Genomic Instability and DNA Damage Sensitivity but Does Not Promote Tumorigenesis. Molecular and Cellular Biology. 25(17). 7569–7579. 120 indexed citations
11.
Aliouat‐Denis, Cécile‐Marie, Najoua Dendouga, Ilse Van den Wyngaert, et al.. (2005). p53-Independent Regulation of p21Waf1/Cip1 Expression and Senescence by Chk2. Molecular Cancer Research. 3(11). 627–634. 147 indexed citations
12.
Jenkins, Yonchu, Vadim Markovtsov, Poonam Sharma, et al.. (2005). Critical Role of the Ubiquitin Ligase Activity of UHRF1, a Nuclear RING Finger Protein, in Tumor Cell Growth. Molecular Biology of the Cell. 16(12). 5621–5629. 159 indexed citations
13.
Vermeulen, Linda, et al.. (2004). Involvement of GSK‐3β in TWEAK‐mediated NF‐κB activation. FEBS Letters. 566(1-3). 60–64. 36 indexed citations
14.
Hitoshi, Yasumichi, Tarikere Gururaja, Denise Pearsall, et al.. (2003). Cellular Localization and Antiproliferative Effect of Peptides Discovered from a Functional Screen of a Retrovirally Delivered Random Peptide Library. Chemistry & Biology. 10(10). 975–987. 13 indexed citations
15.
Vialard, Jorge, Basil M. Arif, & Christopher D. Richardson. (2003). Introduction to the Molecular Biology of Baculoviruses. Humana Press eBooks. 39. 1–24. 12 indexed citations
16.
Gilbert, Christopher S., Catherine Green, Jorge Vialard, et al.. (2003). The budding yeast Rad9 checkpoint complex: chaperone proteins are required for its function. EMBO Reports. 4(10). 953–958. 21 indexed citations
17.
Gururaja, Tarikere, Weiqun Li, Susan M. Catalano, et al.. (2003). Cellular Interacting Proteins of Functional Screen-Derived Antiproliferative and Cytotoxic Peptides Discovered Using Shotgun Peptide Sequencing. Chemistry & Biology. 10(10). 927–937. 4 indexed citations
18.
Chen, Xiaobo, Roberta Melchionna, Cécile‐Marie Aliouat‐Denis, et al.. (2001). Human Mus81-Associated Endonuclease Cleaves Holliday Junctions In Vitro. Molecular Cell. 8(5). 1117–1127. 226 indexed citations
20.
Richardson, Christopher D., M. Banville, Manon Lalumière, Jorge Vialard, & Edward A. Meighen. (1992). Bacterial Luciferase Produced with Rapid-Screening Baculovirus Vectors Is a Sensitive Reporter for Infection of Insect Cells and Larvae. Intervirology. 34(4). 213–227. 25 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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