Marie Daval
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Alzheimer's disease research and treatments
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in
- Surgery 7
- Pancreatic function and diabetes 7
-
- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Pascal Ferré (4 shared papers)Fabienne Foufelle (4 shared papers)Tatyana Gurlo (7 shared papers)Peter C. Butler (7 shared papers)Safia Costes (5 shared papers)Aleksey V. Matveyenko (3 shared papers)Alexandra E. Butler (4 shared papers)Isabelle Hainault (2 shared papers)
- Journals
- Diabetes (3 papers)Journal of Biological Chemistry (2 papers)Amyloid (1 paper)Diabetes Obesity and Metabolism (1 paper)The Journal of Physiology (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Marie Daval
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Physiology 507
- Cell Biology 235
- Biochemistry 99
- Geriatrics and Gerontology 42
- Endocrinology, Diabetes and Metabolism 163
Countries citing papers authored by Marie Daval
This map shows the geographic impact of Marie Daval'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 Marie Daval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Daval more than expected).
Fields of papers citing papers by Marie Daval
This network shows the impact of papers produced by Marie Daval. 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 Marie Daval. The network helps show where Marie Daval may publish in the future.
Co-authors
The 25 scholars most cited alongside Marie Daval, 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 | 2006 | 339 | |
| 2 | 2005 | 279 | |
| 3 | 2010 | 116 | |
| 4 | 2010 | 103 | |
| 5 | 2009 | 82 | |
| 6 | 2009 | 80 | |
| 7 | 2010 | 77 | |
| 8 | 2009 | 51 | |
| 9 | 2011 | 38 | |
| 10 | 2015 | 28 | |
| 11 | 2006 | 11 | |
| 12 | 2024 | 1 |
About Marie Daval
Marie Daval is a scholar working on Surgery, Cell Biology, Molecular Biology, Physiology and Epidemiology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes and associated disorders (2 papers), Autophagy in Disease and Therapy (2 papers), Diabetes Management and Research (1 paper), Alzheimer's disease research and treatments (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Physiology (507 citations), Cell Biology (235 citations), Biochemistry (99 citations), Geriatrics and Gerontology (42 citations) and Endocrinology, Diabetes and Metabolism (163 citations). Marie Daval has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Pascal Ferré, Fabienne Foufelle, Tatyana Gurlo, Peter C. Butler, Safia Costes, Aleksey V. Matveyenko, Alexandra E. Butler, Isabelle Hainault, Éric Hajduch and R Bazin. Their work appears in journals such as Diabetes, Journal of Biological Chemistry, Amyloid, Diabetes Obesity and Metabolism and The Journal of Physiology.
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.