Natacha Le Moan
- Molecular Biology top 10%
- Physiology top 2%
- Neurology top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Katerina AkassoglouChristopher B. NewgardCarrie A. GrueterJohn C. NewmanRobert StevensTadahiro ShimazuScott M. UlrichLaura R. Saunders
- Topics
- Cancer, Hypoxia, and Metabolism (6 papers)Endoplasmic Reticulum Stress and Disease (5 papers)Nanoplatforms for cancer theranostics (5 papers)
- Cited by
- NeurologyPhysiologyAging
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Natacha Le Moan
21 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.1k
- Physiology 1.0k
- Neurology 339
- Endocrinology, Diabetes and Metabolism 299
- Cellular and Molecular Neuroscience 226
Countries citing papers authored by Natacha Le Moan
This map shows the geographic impact of Natacha Le Moan'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 Le Moan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natacha Le Moan more than expected).
Fields of papers citing papers by Natacha Le Moan
This network shows the impact of papers produced by Natacha Le Moan. 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 Le Moan. The network helps show where Natacha Le Moan may publish in the future.
Co-authorship network of co-authors of Natacha Le Moan
This figure shows the co-authorship network connecting the top 25 collaborators of Natacha Le Moan. A scholar is included among the top collaborators of Natacha Le Moan 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 Natacha Le Moan. Natacha Le Moan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 39 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 34 | |
| 8 | 32 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | Suppression of Oxidative Stress by β-Hydroxybutyrate, an Endogenous Histone Deacetylase Inhibitorbreakdown → | 1329 |
| 14 | 39 | |
| 15 | 432 | |
| 16 | 53 | |
| 17 | 41 | |
| 18 | 93 | |
| 19 | 121 | |
| 20 | 145 |
About Natacha Le Moan
Natacha Le Moan is a scholar working on Cancer Research, Biotechnology and Cell Biology, having authored 22 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Neurology (339 citations), Physiology (1.0k citations) and Aging (68 citations). Natacha Le Moan has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Katerina Akassoglou, Christopher B. Newgard, Carrie A. Grueter, John C. Newman, Robert Stevens, Tadahiro Shimazu, Scott M. Ulrich, Laura R. Saunders, Rafael de Cabo and Wenjuan He. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.