P Jeanteur
- Molecular Biology top 10%
- Oncology top 10%
- Genetics top 10%
- Cancer Research top 10%
- Immunology
- Co-authors
- Marc PiechaczykJean Marie BlanchardL. MartyChristian DaniCharles TheilletPierre RouxPhilippe FortSylvie Vincent
- Topics
- RNA Research and Splicing (7 papers)RNA and protein synthesis mechanisms (5 papers)Virus-based gene therapy research (3 papers)
- Partner nations
- FranceSwitzerlandMorocco
In The Last Decade
P Jeanteur
22 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.1k
- Oncology 387
- Genetics 289
- Cancer Research 196
- Immunology 135
Countries citing papers authored by P Jeanteur
This map shows the geographic impact of P Jeanteur'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 P Jeanteur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P Jeanteur more than expected).
Fields of papers citing papers by P Jeanteur
This network shows the impact of papers produced by P Jeanteur. 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 P Jeanteur. The network helps show where P Jeanteur may publish in the future.
Co-authorship network of co-authors of P Jeanteur
This figure shows the co-authorship network connecting the top 25 collaborators of P Jeanteur. A scholar is included among the top collaborators of P Jeanteur 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 P Jeanteur. P Jeanteur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | [Poliovirus against gliomas]. | 2 |
| 3 | [Dietary fibre intake and colon cancer]. | 1 |
| 4 | 34 | |
| 5 | 94 | |
| 6 | 65 | |
| 7 | Cell targeting by murine recombinant retroviruses. | 16 |
| 8 | p53 mutations occur in aggressive breast cancer. | 142 |
| 9 | Nucleotide sequence polymorphism in a hotspot mutation region of the p53 gene. | 35 |
| 10 | 97 | |
| 11 | 77 | |
| 12 | p53 mutations in ovarian cancer: a late event? | 130 |
| 13 | 5 | |
| 14 | 99 | |
| 15 | 7 | |
| 16 | 20 | |
| 17 | 100 | |
| 18 | 473 | |
| 19 | Relationship between snRNA species contained in nuclear antigens recognized by autoantibodies and the clinical profile in systemic rheumatic diseases. | 2 |
| 20 | 7 |
About P Jeanteur
P Jeanteur is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA and protein synthesis mechanisms (5 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Oncology (387 citations) and Cancer Research (196 citations). P Jeanteur has collaborated with scholars based in France, Switzerland and Morocco. Frequent co-authors include Marc Piechaczyk, Jean Marie Blanchard, L. Marty, Christian Dani, Charles Theillet, Pierre Roux, Philippe Fort, Sylvie Vincent, Thierry Maudelondé and Pascal Pujol. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.