Nathalie Lassau
- Pulmonary and Respiratory Medicine top 1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Oncology top 1%
- Biomedical Engineering top 1%
- Molecular Biology top 5%
- Co-authors
- Alain RocheL. ChamiJ. LeclèreCaroline RobertThierry de BaèreP. PéronneauSerge KoscielnyJean‐Pierre Armand
- Topics
- MRI in cancer diagnosis (43 papers)Ultrasound and Hyperthermia Applications (40 papers)Radiomics and Machine Learning in Medical Imaging (33 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Nathalie Lassau
163 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Pulmonary and Respiratory Medicine 2.1k
- Radiology, Nuclear Medicine and Imaging 2.0k
- Oncology 1.8k
- Biomedical Engineering 1.7k
- Molecular Biology 1.3k
Countries citing papers authored by Nathalie Lassau
This map shows the geographic impact of Nathalie Lassau'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 Nathalie Lassau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Lassau more than expected).
Fields of papers citing papers by Nathalie Lassau
This network shows the impact of papers produced by Nathalie Lassau. 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 Nathalie Lassau. The network helps show where Nathalie Lassau may publish in the future.
Co-authorship network of co-authors of Nathalie Lassau
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Lassau. A scholar is included among the top collaborators of Nathalie Lassau 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 Nathalie Lassau. Nathalie Lassau 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 | 4 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 34 | |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 13 | |
| 14 | 168 | |
| 15 | 42 | |
| 16 | 73 | |
| 17 | Demonstration in animal and human of AVE8062-induced tumor blood flow shutdown using dynamic contrast enhanced-ultrasonography (DCE-US). | 2 |
| 18 | 4 | |
| 19 | 53 | |
| 20 | 45 |
About Nathalie Lassau
Nathalie Lassau is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 171 papers that have together received 7.0k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (43 papers), Ultrasound and Hyperthermia Applications (40 papers) and Radiomics and Machine Learning in Medical Imaging (33 papers). The work is most often cited by research in Hepatology (1.3k citations), Radiology, Nuclear Medicine and Imaging (2.0k citations) and Gastroenterology (364 citations). Nathalie Lassau has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Alain Roche, L. Chami, J. Leclère, Caroline Robert, Thierry de Baère, P. Péronneau, Serge Koscielny, Jean‐Pierre Armand, Baya Benatsou and Michel Ducreux. Their work appears in journals such as Journal of Clinical Oncology, Blood and The Journal of Clinical Endocrinology & Metabolism.
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.