Gatien Moriceau
- Molecular Biology top 5%
- Oncology top 2%
- Immunology top 10%
- Cancer Research top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Roger S. LoAntoni RibasXiangju KongHubing ShiJeffrey A. SosmanKimberly B. DahlmanAayoung HongWilly Hugo
- Topics
- Melanoma and MAPK Pathways (15 papers)Cutaneous Melanoma Detection and Management (5 papers)Bone health and treatments (4 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Gatien Moriceau
23 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 2.2k
- Oncology 1.5k
- Immunology 412
- Cancer Research 406
- Computational Theory and Mathematics 395
Countries citing papers authored by Gatien Moriceau
This map shows the geographic impact of Gatien Moriceau'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 Gatien Moriceau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gatien Moriceau more than expected).
Fields of papers citing papers by Gatien Moriceau
This network shows the impact of papers produced by Gatien Moriceau. 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 Gatien Moriceau. The network helps show where Gatien Moriceau may publish in the future.
Co-authorship network of co-authors of Gatien Moriceau
This figure shows the co-authorship network connecting the top 25 collaborators of Gatien Moriceau. A scholar is included among the top collaborators of Gatien Moriceau 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 Gatien Moriceau. Gatien Moriceau 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 | 20 | |
| 3 | 53 | |
| 4 | 32 | |
| 5 | 21 | |
| 6 | 109 | |
| 7 | 72 | |
| 8 | 237 | |
| 9 | Non-genomic and Immune Evolution of Melanoma Acquiring MAPKi Resistancebreakdown → | 412 |
| 10 | 91 | |
| 11 | 40 | |
| 12 | Acquired Resistance and Clonal Evolution in Melanoma during BRAF Inhibitor Therapybreakdown → | 715 |
| 13 | 133 | |
| 14 | 75 | |
| 15 | Melanoma whole-exome sequencing identifies V600EB-RAF amplification-mediated acquired B-RAF inhibitor resistancebreakdown → | 470 |
| 16 | 21 | |
| 17 | 74 | |
| 18 | 30 | |
| 19 | 27 | |
| 20 | 27 |
About Gatien Moriceau
Gatien Moriceau is a scholar working on Oncology, Metals and Alloys and Molecular Biology, having authored 25 papers that have together received 2.8k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (15 papers), Cutaneous Melanoma Detection and Management (5 papers) and Bone health and treatments (4 papers). The work is most often cited by research in Oncology (1.5k citations), Molecular Biology (2.2k citations) and Cancer Research (406 citations). Gatien Moriceau has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Roger S. Lo, Antoni Ribas, Xiangju Kong, Hubing Shi, Jeffrey A. Sosman, Kimberly B. Dahlman, Aayoung Hong, Willy Hugo, Richard C. Koya and Douglas B. Johnson. Their work appears in journals such as Cell, Nature Medicine and Nature Communications.
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.