Danielle Seurin

41 papers and 2.8k indexed citations i.

About

Danielle Seurin is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Danielle Seurin has authored 41 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Danielle Seurin’s work include Growth Hormone and Insulin-like Growth Factors (28 papers), Metabolism, Diabetes, and Cancer (11 papers) and Genetic Syndromes and Imprinting (8 papers). Danielle Seurin is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (28 papers), Metabolism, Diabetes, and Cancer (11 papers) and Genetic Syndromes and Imprinting (8 papers). Danielle Seurin collaborates with scholars based in France, United States and Morocco. Danielle Seurin's co-authors include M Binoux, Paul Hossenlopp, S Hardouin, C Lassarre, Yves Le Bouc, M Gourmelen, Sylvie Babajko, B Segovia, Ghyslaine Portolan and Sophie Doublier and has published in prestigious journals such as PLoS ONE, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Co-authorship network of co-authors of Danielle Seurin i

Fields of papers citing papers by Danielle Seurin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Seurin. 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 Danielle Seurin. The network helps show where Danielle Seurin may publish in the future.

Countries citing papers authored by Danielle Seurin

Since Specialization
Citations

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

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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