Audrey Petitjean
- Oncology top 2%
- Molecular Biology top 5%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Pierre HainautMagali OlivierChikashi IshiokaShunsuke KatoSean V. TavtigianEwy A. MathéMaria Isabel AchatzA.L. Børresen-Dale
- Topics
- Cancer-related Molecular Pathways (7 papers)Influenza Virus Research Studies (6 papers)COVID-19 epidemiological studies (3 papers)
- Cited by
- OncologyCancer ResearchBiotechnology
- Journals
- PLoS ONEOncogeneCarcinogenesis
- Partner nations
- FranceUnited KingdomMexico
In The Last Decade
Audrey Petitjean
15 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Oncology 1.3k
- Molecular Biology 1.3k
- Cancer Research 704
- Pulmonary and Respiratory Medicine 272
- Pathology and Forensic Medicine 217
Countries citing papers authored by Audrey Petitjean
This map shows the geographic impact of Audrey Petitjean'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 Audrey Petitjean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Audrey Petitjean more than expected).
Fields of papers citing papers by Audrey Petitjean
This network shows the impact of papers produced by Audrey Petitjean. 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 Audrey Petitjean. The network helps show where Audrey Petitjean may publish in the future.
Co-authorship network of co-authors of Audrey Petitjean
This figure shows the co-authorship network connecting the top 25 collaborators of Audrey Petitjean. A scholar is included among the top collaborators of Audrey Petitjean 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 Audrey Petitjean. Audrey Petitjean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | 22 | |
| 10 | 124 | |
| 11 | 10 | |
| 12 | 75 | |
| 13 | Impact of mutant p53 functional properties onTP53mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 databasebreakdown → | 1233 |
| 14 | TP53 mutations in human cancers: functional selection and impact on cancer prognosis and outcomesbreakdown → | 689 |
| 15 | TP63 gene in stress response and carcinogenesis: a broader role than expected. | 17 |
| 16 | 34 |
About Audrey Petitjean
Audrey Petitjean is a scholar working on Modeling and Simulation, Health and Oncology, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Influenza Virus Research Studies (6 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (704 citations) and Biotechnology (188 citations). Audrey Petitjean has collaborated with scholars based in France, United Kingdom and Mexico. Frequent co-authors include Pierre Hainaut, Magali Olivier, Chikashi Ishioka, Shunsuke Kato, Sean V. Tavtigian, Ewy A. Mathé, Maria Isabel Achatz, A.L. Børresen-Dale, Claude Caron de Fromentel and Mounia Mounawar. Their work appears in journals such as PLoS ONE, Oncogene and Carcinogenesis.
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.