Laure A Moutouh-de Parseval
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 5%
- Hematology top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Ivana KrajsováDirk SchadendorfMichael D. PickardCaroline DutriauxReinhard DummerVanna Chiarion‐SileniClaus GarbeHelen Gogas
- Topics
- Hemoglobinopathies and Related Disorders (3 papers)Epigenetics and DNA Methylation (3 papers)HER2/EGFR in Cancer Research (2 papers)
- Cited by
- OncologyGeneticsHematology
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Laure A Moutouh-de Parseval
6 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Molecular Biology 922
- Oncology 790
- Genetics 198
- Hematology 165
- Pathology and Forensic Medicine 140
Countries citing papers authored by Laure A Moutouh-de Parseval
This map shows the geographic impact of Laure A Moutouh-de Parseval'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 Laure A Moutouh-de Parseval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laure A Moutouh-de Parseval more than expected).
Fields of papers citing papers by Laure A Moutouh-de Parseval
This network shows the impact of papers produced by Laure A Moutouh-de Parseval. 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 Laure A Moutouh-de Parseval. The network helps show where Laure A Moutouh-de Parseval may publish in the future.
Co-authorship network of co-authors of Laure A Moutouh-de Parseval
This figure shows the co-authorship network connecting the top 25 collaborators of Laure A Moutouh-de Parseval. A scholar is included among the top collaborators of Laure A Moutouh-de Parseval 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 Laure A Moutouh-de Parseval. Laure A Moutouh-de Parseval is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Overall survival in patients with BRAF-mutant melanoma receiving encorafenib plus binimetinib versus vemurafenib or encorafenib (COLUMBUS): a multicentre, open-label, randomised, phase 3 trialbreakdown → | 392 |
| 2 | Encorafenib plus binimetinib versus vemurafenib or encorafenib in patients with BRAF-mutant melanoma (COLUMBUS): a multicentre, open-label, randomised phase 3 trialbreakdown → | 675 |
| 3 | 61 | |
| 4 | 141 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | Modulation of cellular differentiation and cell fate for cancer therapy. | 1 |
About Laure A Moutouh-de Parseval
Laure A Moutouh-de Parseval is a scholar working on Genetics, Hematology and Oncology, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (3 papers), Epigenetics and DNA Methylation (3 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Oncology (790 citations), Genetics (198 citations) and Hematology (165 citations). Laure A Moutouh-de Parseval has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Ivana Krajsová, Dirk Schadendorf, Michael D. Pickard, Caroline Dutriaux, Reinhard Dummer, Vanna Chiarion‐Sileni, Claus Garbe, Helen Gogas, Caroline Robert and Naoya Yamazaki. Their work appears in journals such as Journal of Clinical Investigation, Blood and The Lancet Oncology.
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.