Marie Virally

80 total papers · 1.4k total citations
29 papers, 691 citations indexed

About

Marie Virally is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Marie Virally has authored 29 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Marie Virally's work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Treatment and Management (8 papers) and Diabetes Management and Research (8 papers). Marie Virally is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Treatment and Management (8 papers) and Diabetes Management and Research (8 papers). Marie Virally collaborates with scholars based in France, United Kingdom and United States. Marie Virally's co-authors include P.-J. Guillausseau, P J Guillausseau, M. Laloi‐Michelin, T. Méas, Jean-Philippe Kévorkian, V. Médeau, S. Halimi, J. Girard, Jean‐Frédéric Blickle and D. Simon and has published in prestigious journals such as Diabetes, Diabetic Medicine and Diabetes Obesity and Metabolism.

In The Last Decade

Marie Virally

27 papers receiving 665 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marie Virally	355	239	215	167	95	29	691
Michihiro Matsuki	317 0.9×	251 1.1×	180 0.8×	73 0.4×	127 1.3×	39	665
Yan-Hong Pan	197 0.6×	132 0.6×	152 0.7×	157 0.9×	94 1.0×	26	695
Anna Möllsten	372 1.0×	191 0.8×	132 0.6×	273 1.6×	68 0.7×	26	775
Hetal Shah	233 0.7×	161 0.7×	155 0.7×	145 0.9×	68 0.7×	38	585
Nobusada Kuzuya	369 1.0×	211 0.9×	200 0.9×	95 0.6×	75 0.8×	27	688
Maria Grazia Zenti	226 0.6×	189 0.8×	139 0.6×	69 0.4×	118 1.2×	26	680
Taishan Zheng	206 0.6×	213 0.9×	343 1.6×	208 1.2×	62 0.7×	32	661
H. J. Arnqvist	372 1.0×	270 1.1×	284 1.3×	199 1.2×	47 0.5×	27	770
Shoichi Tomono	213 0.6×	128 0.5×	194 0.9×	164 1.0×	50 0.5×	41	685
Jakeline Rheinheimer	206 0.6×	180 0.8×	266 1.2×	104 0.6×	106 1.1×	23	760

Countries citing papers authored by Marie Virally

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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