Svetlana Ten

69 papers and 3.0k indexed citations i.

About

Svetlana Ten is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Svetlana Ten has authored 69 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Endocrinology, Diabetes and Metabolism, 24 papers in Molecular Biology and 19 papers in Genetics. Recurrent topics in Svetlana Ten’s work include Sexual Differentiation and Disorders (16 papers), Growth Hormone and Insulin-like Growth Factors (12 papers) and Hormonal Regulation and Hypertension (9 papers). Svetlana Ten is often cited by papers focused on Sexual Differentiation and Disorders (16 papers), Growth Hormone and Insulin-like Growth Factors (12 papers) and Hormonal Regulation and Hypertension (9 papers). Svetlana Ten collaborates with scholars based in United States, France and Germany. Svetlana Ten's co-authors include Noel K. Maclaren, Amrit Bhangoo, Maria I. New, John Marker, Maureen M. Sanz, Anjli Kukreja, Steven A. Porcelli, Karen Lin‐Su, Chenhui Zhang and Mark A. Exley and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Diabetologia.

In The Last Decade

Co-authorship network of co-authors of Svetlana Ten i

Fields of papers citing papers by Svetlana Ten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Svetlana Ten

Since Specialization
Citations

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