Bettina Couderc
- Molecular Biology top 5%
- Oncology top 2%
- Immunology top 5%
- Cancer Research top 5%
- Cell Biology top 5%
- Co-authors
- Benoît ThibaultJean‐Pierre DelordMagali CastellsGilles FavreHervé PratsEliane Mery-LamarchePhilippe ValetVictorine Douin‐Echinard
- Topics
- Virus-based gene therapy research (7 papers)Immunotherapy and Immune Responses (7 papers)Immune Cell Function and Interaction (6 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Bettina Couderc
69 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.6k
- Oncology 994
- Immunology 593
- Cancer Research 587
- Cell Biology 265
Countries citing papers authored by Bettina Couderc
This map shows the geographic impact of Bettina Couderc'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 Bettina Couderc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bettina Couderc more than expected).
Fields of papers citing papers by Bettina Couderc
This network shows the impact of papers produced by Bettina Couderc. 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 Bettina Couderc. The network helps show where Bettina Couderc may publish in the future.
Co-authorship network of co-authors of Bettina Couderc
This figure shows the co-authorship network connecting the top 25 collaborators of Bettina Couderc. A scholar is included among the top collaborators of Bettina Couderc 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 Bettina Couderc. Bettina Couderc 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 | 0 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 21 | |
| 6 | Adipocyte-Derived Fibroblasts Promote Tumor Progression and Contribute to the Desmoplastic Reaction in Breast Cancerbreakdown → | 386 |
| 7 | 41 | |
| 8 | 117 | |
| 9 | 20 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | 62 | |
| 13 | 35 | |
| 14 | 2 | |
| 15 | 54 | |
| 16 | 13 | |
| 17 | Enhancement of antitumor immunity by expression of CD70 (CD27 ligand) or CD154 (CD40 ligand) costimulatory molecules in tumor cells. | 69 |
| 18 | 8 | |
| 19 | 71 | |
| 20 | 31 |
About Bettina Couderc
Bettina Couderc is a scholar working on Oncology, Immunology and Cancer Research, having authored 74 papers that have together received 2.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Immunotherapy and Immune Responses (7 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Cancer Research (587 citations), Oncology (994 citations) and Immunology (593 citations). Bettina Couderc has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Benoît Thibault, Jean‐Pierre Delord, Magali Castells, Gilles Favre, Hervé Prats, Eliane Mery-Lamarche, Philippe Valet, Victorine Douin‐Echinard, Muriel Golzio and Béatrice Dirat. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.