Anne‐Laure Lemaitre
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Genetics top 5%
- Epidemiology
- Pulmonary and Respiratory Medicine
- Co-authors
- Hugues DuffauGuillaume HerbetSylvie Moritz‐GasserSam NgGilles LafargueJérôme CochereauFabien AlmairacJérémy Deverdun
- Topics
- Functional Brain Connectivity Studies (10 papers)Advanced Neuroimaging Techniques and Applications (9 papers)Meningioma and schwannoma management (7 papers)
- Journals
- BrainNeurologyScientific Reports
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Anne‐Laure Lemaitre
23 papers receiving 489 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 258
- Radiology, Nuclear Medicine and Imaging 212
- Genetics 170
- Epidemiology 97
- Pulmonary and Respiratory Medicine 49
Countries citing papers authored by Anne‐Laure Lemaitre
This map shows the geographic impact of Anne‐Laure Lemaitre'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 Anne‐Laure Lemaitre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne‐Laure Lemaitre more than expected).
Fields of papers citing papers by Anne‐Laure Lemaitre
This network shows the impact of papers produced by Anne‐Laure Lemaitre. 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 Anne‐Laure Lemaitre. The network helps show where Anne‐Laure Lemaitre may publish in the future.
Co-authorship network of co-authors of Anne‐Laure Lemaitre
This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Laure Lemaitre. A scholar is included among the top collaborators of Anne‐Laure Lemaitre 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 Anne‐Laure Lemaitre. Anne‐Laure Lemaitre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 28 | |
| 5 | 8 | |
| 6 | 25 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 16 | |
| 11 | 22 | |
| 12 | 17 | |
| 13 | 15 | |
| 14 | 32 | |
| 15 | 35 | |
| 16 | 49 | |
| 17 | 13 | |
| 18 | 26 | |
| 19 | 21 | |
| 20 | 48 |
About Anne‐Laure Lemaitre
Anne‐Laure Lemaitre is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 24 papers that have together received 492 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (10 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Meningioma and schwannoma management (7 papers). The work is most often cited by research in Genetics (170 citations), Cognitive Neuroscience (258 citations) and Radiology, Nuclear Medicine and Imaging (212 citations). Anne‐Laure Lemaitre has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Hugues Duffau, Guillaume Herbet, Sylvie Moritz‐Gasser, Sam Ng, Gilles Lafargue, Jérôme Cochereau, Fabien Almairac, Jérémy Deverdun, Michael F. Mayer and Patrick Aubourg. Their work appears in journals such as Brain, Neurology and Scientific Reports.
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.