Pierre Chambon
- Molecular Biology top 0.1%
- Genetics top 0.1%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Immunology top 1%
- Co-authors
- Pascal DolléVijay KumarP OudetBohdan WasylykDiane MathisKaren NiederreitherManuel MarkFilippo M. Rijli
- Topics
- Genomics and Chromatin Dynamics (38 papers)RNA and protein synthesis mechanisms (30 papers)Estrogen and related hormone effects (18 papers)
- Cited by
- Molecular BiologyGeneticsOncology
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Pierre Chambon
123 papers receiving 17.2k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 13.9k
- Genetics 5.4k
- Oncology 3.4k
- Cancer Research 1.8k
- Immunology 1.6k
Countries citing papers authored by Pierre Chambon
This map shows the geographic impact of Pierre Chambon'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 Pierre Chambon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Chambon more than expected).
Fields of papers citing papers by Pierre Chambon
This network shows the impact of papers produced by Pierre Chambon. 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 Pierre Chambon. The network helps show where Pierre Chambon may publish in the future.
Co-authorship network of co-authors of Pierre Chambon
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Chambon. A scholar is included among the top collaborators of Pierre Chambon 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 Pierre Chambon. Pierre Chambon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 11 | |
| 3 | 29 | |
| 4 | 245 | |
| 5 | 36 | |
| 6 | 41 | |
| 7 | 30 | |
| 8 | Hoxa1 and Krox-20 synergize to control the development of rhombomere 3. | 6 |
| 9 | 79 | |
| 10 | 41 | |
| 11 | 103 | |
| 12 | 1 | |
| 13 | Crystal structure of the RAR-γ ligand-binding domain bound to all-trans retinoic acidbreakdown → | 895 |
| 14 | 145 | |
| 15 | 60 | |
| 16 | A homeotic transformation is generated in the rostral branchial region of the head by disruption of Hoxa-2, which acts as a selector genebreakdown → | 534 |
| 17 | 72 | |
| 18 | 376 | |
| 19 | A novel metalloproteinase gene specifically expressed in stromal cells of breast carcinomasbreakdown → | 973 |
| 20 | 71 |
About Pierre Chambon
Pierre Chambon is a scholar working on Molecular Biology, Genetics and Immunology, having authored 123 papers that have together received 18.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (38 papers), RNA and protein synthesis mechanisms (30 papers) and Estrogen and related hormone effects (18 papers). The work is most often cited by research in Molecular Biology (13.9k citations), Genetics (5.4k citations) and Oncology (3.4k citations). Pierre Chambon has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Pascal Dollé, Vijay Kumar, P Oudet, Bohdan Wasylyk, Diane Mathis, Karen Niederreither, Manuel Mark, Filippo M. Rijli, Vemparala Subbarayan and Irwin Davidson. Their work appears in journals such as Nature, Science and Cell.
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.