Sylvain Peuget

897 total citations · 1 hit paper
17 papers, 601 citations indexed

About

Sylvain Peuget is a scholar working on Oncology, Molecular Biology and Biotechnology. According to data from OpenAlex, Sylvain Peuget has authored 17 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 12 papers in Molecular Biology and 5 papers in Biotechnology. Recurrent topics in Sylvain Peuget's work include Cancer-related Molecular Pathways (11 papers), Cancer Research and Treatments (5 papers) and Ubiquitin and proteasome pathways (5 papers). Sylvain Peuget is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), Cancer Research and Treatments (5 papers) and Ubiquitin and proteasome pathways (5 papers). Sylvain Peuget collaborates with scholars based in Sweden, France and United States. Sylvain Peuget's co-authors include Galina Selivanova, Madhurendra Singh, Xiaolei Zhou, Nelson Dusetti, Gema Sanz, Juan Iovanna, Alice Carrier, Prudence N’guessan, Jiawei Zhu and Philippe Soubeyran and has published in prestigious journals such as Nature reviews. Cancer, Cancer Research and Oncogene.

In The Last Decade

Sylvain Peuget

17 papers receiving 598 citations

Hit Papers

Translating p53-based therapies for cancer into the clinic 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvain Peuget Sweden 11 400 269 155 73 44 17 601
Fedor Nikulenkov Sweden 10 596 1.5× 369 1.4× 180 1.2× 64 0.9× 51 1.2× 12 768
Z. Ping Lin United States 12 499 1.2× 303 1.1× 120 0.8× 45 0.6× 42 1.0× 25 680
Dongkyoo Park United States 14 545 1.4× 287 1.1× 137 0.9× 66 0.9× 90 2.0× 19 802
Csaba László United States 13 395 1.0× 185 0.7× 192 1.2× 55 0.8× 50 1.1× 20 690
Dayanand Deo United States 8 318 0.8× 242 0.9× 87 0.6× 41 0.6× 32 0.7× 15 537
Ji Young Kim South Korea 15 418 1.0× 264 1.0× 104 0.7× 50 0.7× 66 1.5× 23 619
Olga Surova Sweden 11 404 1.0× 118 0.4× 163 1.1× 59 0.8× 43 1.0× 17 564
Vincent Denis France 11 393 1.0× 184 0.7× 126 0.8× 62 0.8× 47 1.1× 15 623
Maria Serena Roca Italy 14 457 1.1× 184 0.7× 152 1.0× 59 0.8× 104 2.4× 28 709
Luv Patel United States 12 459 1.1× 221 0.8× 77 0.5× 77 1.1× 42 1.0× 33 877

Countries citing papers authored by Sylvain Peuget

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Peuget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Peuget

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Peuget. A scholar is included among the top collaborators of Sylvain Peuget 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 Sylvain Peuget. Sylvain Peuget 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.
Peuget, Sylvain, Xiaolei Zhou, & Galina Selivanova. (2024). Translating p53-based therapies for cancer into the clinic. Nature reviews. Cancer. 24(3). 192–215. 86 indexed citations breakdown →
2.
Zhou, Xiaolei, Yue Zhan, Mariana M.S. Oliveira, et al.. (2022). Mutant p53 gain of function mediates cancer immune escape that is counteracted by APR-246. British Journal of Cancer. 127(11). 2060–2071. 17 indexed citations
3.
Zhan, Yue, Xiaolei Zhou, Sylvain Peuget, et al.. (2022). Decreased DNA Damage and Improved p53 Specificity of RITA Analogs. Molecular Cancer Therapeutics. 21(10). 1524–1534. 4 indexed citations
4.
Aschtgen, Marie‐Stéphanie, Gema Sanz, Staffan Normark, et al.. (2022). Enterobacteria impair host p53 tumor suppressor activity through mRNA destabilization. Oncogene. 41(15). 2173–2186. 11 indexed citations
5.
Peuget, Sylvain & Galina Selivanova. (2021). p53-Dependent Repression: DREAM or Reality?. Cancers. 13(19). 4850–4850. 14 indexed citations
6.
Peuget, Sylvain, Jiawei Zhu, Gema Sanz, et al.. (2020). Thermal Proteome Profiling Identifies Oxidative-Dependent Inhibition of the Transcription of Major Oncogenes as a New Therapeutic Mechanism for Select Anticancer Compounds. Cancer Research. 80(7). 1538–1550. 14 indexed citations
7.
Zhu, Jiawei, Madhurendra Singh, Galina Selivanova, & Sylvain Peuget. (2020). Pifithrin-α alters p53 post-translational modifications pattern and differentially inhibits p53 target genes. Scientific Reports. 10(1). 1049–1049. 53 indexed citations
8.
Singh, Madhurendra, Xiaolei Zhou, Xinsong Chen, et al.. (2020). Identification and targeting of selective vulnerability rendered by tamoxifen resistance. Breast Cancer Research. 22(1). 10 indexed citations
9.
Hoef, Vincent van, Sylvain Peuget, Jiawei Zhu, et al.. (2019). RITA requires eIF2α-dependent modulation of mRNA translation for its anti-cancer activity. Cell Death and Disease. 10(11). 845–845. 8 indexed citations
10.
Franco, Marcela, Ashwini Jeggari, Sylvain Peuget, et al.. (2019). Prediction of response to anti-cancer drugs becomes robust via network integration of molecular data. Scientific Reports. 9(1). 2379–2379. 10 indexed citations
11.
Sanz, Gema, Madhurendra Singh, Sylvain Peuget, & Galina Selivanova. (2019). Inhibition of p53 inhibitors: progress, challenges and perspectives. Journal of Molecular Cell Biology. 11(7). 586–599. 110 indexed citations
12.
Peuget, Sylvain, Thomas Bonacci, Philippe Soubeyran, Juan Iovanna, & Nelson Dusetti. (2014). Oxidative stress-induced p53 activity is enhanced by a redox-sensitive TP53INP1 SUMOylation. Cell Death and Differentiation. 21(7). 1107–1118. 57 indexed citations
13.
Bonacci, Thomas, Sylvain Peuget, Philippe Soubeyran, Juan Iovanna, & Nelson Dusetti. (2014). Redox-sensitive TP53INP1 SUMOylation as an oxidative stress sensor to activate TP53. Molecular & Cellular Oncology. 1(3). e964044–e964044. 2 indexed citations
14.
Sandí, María José, Sylvain Peuget, Christine Kellenberger, et al.. (2013). Development of an ELISA detecting Tumor Protein 53-Induced Nuclear Protein 1 in serum of prostate cancer patients. PubMed. 3. 51–56. 3 indexed citations
15.
Saati, Talal Al, Pascal Clerc, Naı̈ma Hanoun, et al.. (2013). Oxidative Stress Induced by Inactivation of TP53INP1 Cooperates with KrasG12D to Initiate and Promote Pancreatic Carcinogenesis in the Murine Pancreas. American Journal Of Pathology. 182(6). 1996–2004. 28 indexed citations
16.
Peuget, Sylvain, Odile Gayet, Charles Gauthier, et al.. (2012). TP53INP1, a tumor suppressor, interacts with LC3 and ATG8-family proteins through the LC3-interacting region (LIR) and promotes autophagy-dependent cell death. Cell Death and Differentiation. 19(9). 1525–1535. 111 indexed citations
17.
Seux, Mylène, Sylvain Peuget, Marie-Pierre Montero, et al.. (2011). TP53INP1 decreases pancreatic cancer cell migration by regulating SPARC expression. Oncogene. 30(27). 3049–3061. 63 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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