Susan Leers‐Sucheta

19 papers and 1.0k indexed citations i.

About

Susan Leers‐Sucheta is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Susan Leers‐Sucheta has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Susan Leers‐Sucheta’s work include Estrogen and related hormone effects (8 papers), Hormonal and reproductive studies (6 papers) and Cholesterol and Lipid Metabolism (5 papers). Susan Leers‐Sucheta is often cited by papers focused on Estrogen and related hormone effects (8 papers), Hormonal and reproductive studies (6 papers) and Cholesterol and Lipid Metabolism (5 papers). Susan Leers‐Sucheta collaborates with scholars based in United States, Japan and United Kingdom. Susan Leers‐Sucheta's co-authors include Salman Azhar, Ann Nomoto, Eve Reaven, Michael H. Melner, Ken-ichirou Morohashi, J. Ian Mason, Yuan Cortez, Parveen Abidi, Salman Azhar and Jiahuai Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Susan Leers‐Sucheta i

Fields of papers citing papers by Susan Leers‐Sucheta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan Leers‐Sucheta. 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 Susan Leers‐Sucheta. The network helps show where Susan Leers‐Sucheta may publish in the future.

Countries citing papers authored by Susan Leers‐Sucheta

Since Specialization
Citations

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