Marie Virally
- Co-authors
- P.-J. GuillausseauP J GuillausseauT. MéasM. Laloi‐MichelinJean-Philippe KévorkianV. MédeauS. HalimiD. Simon
- Topics
- Diabetes Management and Research (8 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Diabetes Treatment and Management (8 papers)
- Partner nations
- FranceUnited KingdomDenmark
In The Last Decade
Marie Virally
27 papers receiving 667 citations
Peers
Comparison fields: 5 of 101
- Endocrinology, Diabetes and Metabolism 355
- Surgery 239
- Molecular Biology 216
- Genetics 167
- Epidemiology 94
Countries citing papers authored by Marie Virally
This map shows the geographic impact of Marie Virally'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 Virally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Virally more than expected).
Fields of papers citing papers by Marie Virally
This network shows the impact of papers produced by Marie Virally. 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 Virally. The network helps show where Marie Virally may publish in the future.
Co-authorship network of co-authors of Marie Virally
This figure shows the co-authorship network connecting the top 25 collaborators of Marie Virally. A scholar is included among the top collaborators of Marie Virally 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 Marie Virally. Marie Virally is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 34 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 56 | |
| 6 | 5 | |
| 7 | 21 | |
| 8 | 150 | |
| 9 | 18 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 85 | |
| 13 | 2 | |
| 14 | L’augmentation de la prévalence de l’obésité se confirme en France (Données ObEpi-Roche 2006) | 1 |
| 15 | 20 | |
| 16 | Diabète de type 2 et insulinothérapie : situations transitoires et définitives | 0 |
| 17 | Diabète de type 2 : le point sur le diagnostic, la classification et la pathogénie | 1 |
| 18 | 1 | |
| 19 | 5 | |
| 20 | Les missions permanentes auprès des organisations internationales sises à Genève, Paris, Strasbourg et Bruxelles | 1 |
About Marie Virally
Marie Virally is a scholar working on Endocrinology, Diabetes and Metabolism, Ophthalmology and Clinical Biochemistry, having authored 29 papers that have together received 692 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Diabetes Treatment and Management (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (355 citations), Genetics (167 citations) and Surgery (239 citations). Marie Virally has collaborated with scholars based in France, United Kingdom and Denmark. Frequent co-authors include P.-J. Guillausseau, P J Guillausseau, T. Méas, M. Laloi‐Michelin, Jean-Philippe Kévorkian, V. Médeau, S. Halimi, D. Simon, Jean‐Frédéric Blickle and J. Girard. Their work appears in journals such as Diabetes, Diabetic Medicine and Diabetes Obesity and Metabolism.
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.