Toni Jauset

979 total citations
10 papers, 405 citations indexed

About

Toni Jauset is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Toni Jauset has authored 10 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Genetics. Recurrent topics in Toni Jauset's work include Neuroendocrine Tumor Research Advances (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Toni Jauset is often cited by papers focused on Neuroendocrine Tumor Research Advances (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Toni Jauset collaborates with scholars based in Spain, United Kingdom and United States. Toni Jauset's co-authors include Marie-Ève Beaulieu, Laura Soucek, Daniel Massó-Vallés, Jonathan R. Whitfield, Gérard I. Evan, Erika Serrano, Nicole M. Sodir, Daniela Annibali, Isabel Cuartas and Margaret M. Mc Gee and has published in prestigious journals such as Nature Communications, Genes & Development and Cancer Research.

In The Last Decade

Toni Jauset

10 papers receiving 401 citations

Peers

Toni Jauset

MB

ONCOL

CR

IMMUN

GENET

Lucia Demková Slovakia

Clara Albanese Italy

Eszter Doma Austria

Srimathi Srinivasan United States

Yaxun Wu China

Mary Flanagan Quinn United States

Haritha Mathsyaraja United States

Helicia Paz United States

Shaofang Wu United States

Jan Benada Denmark

Lucia Demková Slovakia

Toni Jauset

185 ×0.7

MB

161 ×1.0

ONCOL

70 ×0.8

CR

42 ×0.7

IMMUN

55 ×0.9

GENET

Citations per year, relative to Toni Jauset Toni Jauset (= 1×) peers Lucia Demková

Countries citing papers authored by Toni Jauset

Since Specialization

Citations

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

Fields of papers citing papers by Toni Jauset

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toni Jauset

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

All Works

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10 of 10 papers shown

1.

Fluck, Mariano F. Zacarías, Daniel Massó-Vallés, Sílvia Casacuberta‐Serra, et al.. (2023). Reducing MYC's transcriptional footprint unveils a good prognostic gene signature in melanoma. Genes & Development. 37(7-8). 303–320. 5 indexed citations

2.

Fluck, Mariano F. Zacarías, Toni Jauset, Sandra Martínez-Martín, et al.. (2021). The Wnt signaling receptor Fzd9 is essential for Myc-driven tumorigenesis in pancreatic islets. Life Science Alliance. 4(5). e201900490–e201900490. 7 indexed citations

3.

Pesarrodona, Mireia, Toni Jauset, Zamira V. Díaz‐Riascos, et al.. (2019). Targeting Antitumoral Proteins to Breast Cancer by Local Administration of Functional Inclusion Bodies. Advanced Science. 6(18). 1900849–1900849. 36 indexed citations

4.

Jauset, Toni & Marie-Ève Beaulieu. (2019). Bioactive cell penetrating peptides and proteins in cancer: a bright future ahead. Current Opinion in Pharmacology. 47. 133–140. 37 indexed citations

5.

Jauset, Toni, Daniel Massó-Vallés, Sandra Martínez-Martín, et al.. (2018). BET inhibition is an effective approach against KRAS-driven PDAC and NSCLC. Oncotarget. 9(27). 18734–18746. 12 indexed citations

6.

Massó-Vallés, Daniel, Toni Jauset, & Laura Soucek. (2016). Ibrutinib repurposing: from B-cell malignancies to solid tumors. Oncoscience. 3(5-6). 147–148. 17 indexed citations

7.

Fiorentino, Francesco Paolo, Onur Tokgün, Toni Jauset, et al.. (2016). Growth suppression by MYC inhibition in small cell lung cancer cells with TP53 and RB1 inactivation. Oncotarget. 7(21). 31014–31028. 53 indexed citations

8.

Massó-Vallés, Daniel, Toni Jauset, Erika Serrano, et al.. (2015). Ibrutinib Exerts Potent Antifibrotic and Antitumor Activities in Mouse Models of Pancreatic Adenocarcinoma. Cancer Research. 75(8). 1675–1681. 92 indexed citations

9.

Annibali, Daniela, Jonathan R. Whitfield, Emilia Favuzzi, et al.. (2014). Myc inhibition is effective against glioma and reveals a role for Myc in proficient mitosis. Nature Communications. 5(1). 4632–4632. 145 indexed citations

10.

Soucek, Laura, Daniel Massó-Vallés, Toni Jauset, et al.. (2012). 916 Modeling Pharmacological Inhibition of Bruton's Tyrosine Kinase (BTK) as a Therapy for Insulinoma and Pancreatic Ductal Adenocarcinoma. European Journal of Cancer. 48. S222–S222. 1 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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