Earn H Gan

30 papers and 807 indexed citations i.

About

Earn H Gan is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Genetics. According to data from OpenAlex, Earn H Gan has authored 30 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Reproductive Medicine and 3 papers in Genetics. Recurrent topics in Earn H Gan’s work include Adrenal Hormones and Disorders (15 papers), Pituitary Gland Disorders and Treatments (10 papers) and Hormonal Regulation and Hypertension (9 papers). Earn H Gan is often cited by papers focused on Adrenal Hormones and Disorders (15 papers), Pituitary Gland Disorders and Treatments (10 papers) and Hormonal Regulation and Hypertension (9 papers). Earn H Gan collaborates with scholars based in United Kingdom, Australia and Norway. Earn H Gan's co-authors include Simon H. S. Pearce, Richard Quinton, Anna L. Mitchell, Wiebke Arlt, Sophie Bensing, Eystein S. Husebye, Gesine Meyer, Olle Kämpe, Klaus Badenhoop and Petros Perros and has published in prestigious journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Human Reproduction.

In The Last Decade

Co-authorship network of co-authors of Earn H Gan i

Fields of papers citing papers by Earn H Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Earn H Gan. 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 Earn H Gan. The network helps show where Earn H Gan may publish in the future.

Countries citing papers authored by Earn H Gan

Since Specialization
Citations

This map shows the geographic impact of Earn H Gan'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 Earn H Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earn H Gan 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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2025