Maya Dia
Impact in
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- Cardiovascular Function and Risk Factors
Papers in
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- Mitochondrial Function and Pathology 5
- ATP Synthase and ATPases Research 1
- Signaling Pathways in Disease 1
- Connexins and lens biology 1
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- Cardiovascular Function and Risk Factors 4
- Co-authors
- Ludovic Gomez (6 shared papers)M. Paillard (6 shared papers)Claire Crola Da Silva (5 shared papers)Jennifer Rieusset (5 shared papers)Stéphanie Chanon (4 shared papers)Nadia Bendridi (3 shared papers)Christelle Léon (4 shared papers)Hélène Thibault (4 shared papers)
- Journals
- Frontiers in Cardiovascular Medicine (1 paper)Journal of Hepatology (1 paper)Basic Research in Cardiology (1 paper)Cells (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- FranceLebanonUnited States
In The Last Decade
Maya Dia
8 papers receiving 281 citations
Peers
Comparison fields: 5 of 49
- Geriatrics and Gerontology 10
- Cardiology and Cardiovascular Medicine 60
- Cell Biology 44
- Molecular Biology 171
- Clinical Biochemistry 16
Countries citing papers authored by Maya Dia
This map shows the geographic impact of Maya Dia'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 Maya Dia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Dia more than expected).
Fields of papers citing papers by Maya Dia
This network shows the impact of papers produced by Maya Dia. 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 Maya Dia. The network helps show where Maya Dia may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Dia, 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 | 2020 | 111 | |
| 2 | 2022 | 96 | |
| 3 | 2020 | 43 | |
| 4 | 2022 | 12 | |
| 5 | 2023 | 10 | |
| 6 | 2021 | 8 | |
| 7 | 2025 | 1 | |
| 8 | 2020 | 1 |
About Maya Dia
Maya Dia is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Physiology and Surgery, having authored 8 papers that have together received 282 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Ischemia and Reperfusion (2 papers), Adipose Tissue and Metabolism (2 papers), ATP Synthase and ATPases Research (1 paper), Signaling Pathways in Disease (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Connexins and lens biology (1 paper). The work is most often cited by research in Geriatrics and Gerontology (10 citations), Cardiology and Cardiovascular Medicine (60 citations), Cell Biology (44 citations), Molecular Biology (171 citations) and Clinical Biochemistry (16 citations). Maya Dia has collaborated with scholars based in France, Lebanon and United States. Frequent co-authors include Ludovic Gomez, M. Paillard, Claire Crola Da Silva, Jennifer Rieusset, Stéphanie Chanon, Nadia Bendridi, Christelle Léon, Hélène Thibault, Michel Ovize and Nolwenn Tessier. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Journal of Hepatology, Basic Research in Cardiology, Cells and International Journal of Molecular Sciences.
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.