Jean‐Christophe Amé
- Oncology top 0.5%
- Molecular Biology top 1%
- Immunology top 2%
- Electrical and Electronic Engineering top 5%
- Physiology top 0.2%
- Co-authors
- Gilbert de MurciaValérie SchreiberFrançoise DantzerCatherine SpenlehauerJosiane Ménissier‐de MurciaMyron K. JacobsonElaine L. JacobsonHeinrich Leonhardt
- Topics
- PARP inhibition in cancer therapy (31 papers)DNA Repair Mechanisms (18 papers)Toxin Mechanisms and Immunotoxins (12 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Jean‐Christophe Amé
32 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Oncology 4.6k
- Molecular Biology 4.0k
- Immunology 1.1k
- Electrical and Electronic Engineering 780
- Physiology 642
Countries citing papers authored by Jean‐Christophe Amé
This map shows the geographic impact of Jean‐Christophe Amé'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 Jean‐Christophe Amé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Christophe Amé more than expected).
Fields of papers citing papers by Jean‐Christophe Amé
This network shows the impact of papers produced by Jean‐Christophe Amé. 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 Jean‐Christophe Amé. The network helps show where Jean‐Christophe Amé may publish in the future.
Co-authorship network of co-authors of Jean‐Christophe Amé
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Christophe Amé. A scholar is included among the top collaborators of Jean‐Christophe Amé 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 Jean‐Christophe Amé. Jean‐Christophe Amé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 21 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 17 | |
| 8 | 58 | |
| 9 | 53 | |
| 10 | 44 | |
| 11 | 69 | |
| 12 | 24 | |
| 13 | 265 | |
| 14 | Poly(ADP-ribose): novel functions for an old moleculebreakdown → | 1572 |
| 15 | The PARP superfamilybreakdown → | 1221 |
| 16 | Poly(ADP-ribose) Polymerase-2 (PARP-2) Is Required for Efficient Base Excision DNA Repair in Association with PARP-1 and XRCC1breakdown → | 573 |
| 17 | 42 | |
| 18 | 26 | |
| 19 | 263 | |
| 20 | 181 |
About Jean‐Christophe Amé
Jean‐Christophe Amé is a scholar working on Physiology, Oncology and Immunology, having authored 32 papers that have together received 5.8k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (31 papers), DNA Repair Mechanisms (18 papers) and Toxin Mechanisms and Immunotoxins (12 papers). The work is most often cited by research in Oncology (4.6k citations), Physiology (642 citations) and Geriatrics and Gerontology (279 citations). Jean‐Christophe Amé has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Gilbert de Murcia, Valérie Schreiber, Françoise Dantzer, Catherine Spenlehauer, Josiane Ménissier‐de Murcia, Myron K. Jacobson, Elaine L. Jacobson, Heinrich Leonhardt, Oliver Mortusewicz and Pascal Dollé. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Reviews Molecular Cell Biology.
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.