M.L. Nunès

24 total papers · 403 total citations
7 papers, 59 citations indexed

About

M.L. Nunès is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, M.L. Nunès has authored 7 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in M.L. Nunès's work include Pituitary Gland Disorders and Treatments (3 papers), Adrenal and Paraganglionic Tumors (3 papers) and Hormonal Regulation and Hypertension (2 papers). M.L. Nunès is often cited by papers focused on Pituitary Gland Disorders and Treatments (3 papers), Adrenal and Paraganglionic Tumors (3 papers) and Hormonal Regulation and Hypertension (2 papers). M.L. Nunès collaborates with scholars based in France, Brazil and Belgium. M.L. Nunès's co-authors include Antoine Tabarin, A. Rault, Martine Guyot, Nathalie Valli, Geneviève Belleannée, Delphine Gaye, Sophie Giraud, Philippe Gosse, C. Fagour and Blandine Gatta and has published in prestigious journals such as European Journal of Endocrinology, World Journal of Surgery and Annales d Endocrinologie.

In The Last Decade

M.L. Nunès

6 papers receiving 58 citations

Author Peers

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

Author Last Decade Papers Cites
M.L. Nunès 52 44 30 6 4 7 59
Haofei Wang 46 0.9× 33 0.8× 11 0.4× 2 0.5× 8 53
Rosaura Figueras 48 0.9× 37 0.8× 13 0.4× 1 0.2× 4 1.0× 7 62
Sandrine Laboureau 37 0.7× 32 0.7× 12 0.4× 1 0.2× 5 51
Usue Caballero-Silva 27 0.5× 24 0.5× 9 0.3× 3 0.8× 9 42
Estela Kiouri 57 1.1× 17 0.4× 12 0.4× 4 1.0× 9 72
Isabella Ramos Lima 54 1.0× 31 0.7× 20 0.7× 1 0.3× 8 88
Shan Guang-liang 17 0.3× 23 0.5× 3 0.1× 4 0.7× 4 1.0× 7 50
Paolo Delrio 22 0.4× 18 0.4× 17 0.6× 3 0.8× 5 49
Nadezhda Dalantaeva 18 0.3× 43 1.0× 12 0.4× 23 3.8× 9 54
Joanna Clasen 34 0.7× 39 0.9× 8 0.3× 1 0.3× 7 72

Countries citing papers authored by M.L. Nunès

Since Specialization
Citations

This map shows the geographic impact of M.L. Nunès'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 M.L. Nunès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.L. Nunès more than expected).

Fields of papers citing papers by M.L. Nunès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. Nunès. 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 M.L. Nunès. The network helps show where M.L. Nunès may publish in the future.

Co-authorship network of co-authors of M.L. Nunès

This figure shows the co-authorship network connecting the top 25 collaborators of M.L. Nunès. A scholar is included among the top collaborators of M.L. Nunès 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 M.L. Nunès. M.L. Nunès 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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