Natacha Akshoomoff
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
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- Neonatal and fetal brain pathology
- Fetal and Pediatric Neurological Disorders
Papers in
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- Long-Term Effects of COVID-19 3
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- Infant Development and Preterm Care 1
- Fetal and Pediatric Neurological Disorders 1
- Co-authors
- Joshua M. Kuperman (1 shared paper)Eric H. Zimak (1 shared paper)Miriam Alana Novack (1 shared paper)Sarah Murray (1 shared paper)Walter E. Kaufmann (1 shared paper)Jeffrey R. Gruen (1 shared paper)Vijay K. Venkatraman (1 shared paper)Jennifer J. Vannest (1 shared paper)
- Journals
- Archives of Pediatrics and Adolescent Medicine (2 papers)JAMA (1 paper)Developmental Cognitive Neuroscience (1 paper)Proceedings of the National Academy of Sciences (1 paper)Current Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Natacha Akshoomoff
6 papers receiving 406 citations
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 207
- Pediatrics, Perinatology and Child Health 81
- Radiology, Nuclear Medicine and Imaging 96
- Pharmacology 56
- Psychiatry and Mental health 44
Countries citing papers authored by Natacha Akshoomoff
This map shows the geographic impact of Natacha Akshoomoff'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 Natacha Akshoomoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natacha Akshoomoff more than expected).
Fields of papers citing papers by Natacha Akshoomoff
This network shows the impact of papers produced by Natacha Akshoomoff. 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 Natacha Akshoomoff. The network helps show where Natacha Akshoomoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Natacha Akshoomoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 278 | |
| 2 | 2016 | 79 | |
| 3 | 2024 | 47 | |
| 4 | 2025 | 6 | |
| 5 | 2024 | 3 | |
| 6 | 2026 | 2 | |
| 7 | Report Neuroanatomical Assessment of Biological Maturity | 2012 | 1 |
About Natacha Akshoomoff
Natacha Akshoomoff is a scholar working on Neurology, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems, Statistics, Probability and Uncertainty and History, having authored 7 papers that have together received 416 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (3 papers), Advanced MRI Techniques and Applications (1 paper), History of Medicine Studies (1 paper), Cannabis and Cannabinoid Research (1 paper), Infant Development and Preterm Care (1 paper), Anatomy and Medical Technology (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Meta-analysis and systematic reviews (1 paper). The work is most often cited by research in Cognitive Neuroscience (207 citations), Pediatrics, Perinatology and Child Health (81 citations), Radiology, Nuclear Medicine and Imaging (96 citations), Pharmacology (56 citations) and Psychiatry and Mental health (44 citations). Natacha Akshoomoff has collaborated with scholars based in United States. Frequent co-authors include Joshua M. Kuperman, Eric H. Zimak, Miriam Alana Novack, Sarah Murray, Walter E. Kaufmann, Jeffrey R. Gruen, Vijay K. Venkatraman, Jennifer J. Vannest, David Gil Amaral and Elizabeth R. Sowell. Their work appears in journals such as Archives of Pediatrics and Adolescent Medicine, JAMA, Developmental Cognitive Neuroscience, Proceedings of the National Academy of Sciences and Current 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.