Earn H Gan

1.3k total citations
32 papers, 874 citations indexed

About

Earn H Gan is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Earn H Gan has authored 32 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Pathology and Forensic 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 Malaysia. Earn H Gan's co-authors include Simon H. S. Pearce, Richard Quinton, Anna L. Mitchell, Wiebke Arlt, Gesine Meyer, Sophie Bensing, Olle Kämpe, Klaus Badenhoop, Eystein S. Husebye 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

Earn H Gan

30 papers receiving 845 citations

Peers

Earn H Gan
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 562
  • Molecular Biology 108
  • Pathology and Forensic Medicine 95
  • Genetics 88
  • Immunology 67
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Citations per field, relative to Earn H Gan
Earn H Gan · 1×
Citations per year, relative to Earn H Gan
Earn H Gan · 1×

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Earn H Gan. A scholar is included among the top collaborators of Earn H Gan 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 Earn H Gan. Earn H Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 1
4 0
5 2
6 6
7 47
8 15
9 4
10 9
11 4
12 28
13 28
14 61
15 70
16 8
17
A UK epidemic of testosterone prescribing 2000-2010: 'Never mind the testes'
0
18 7
19 48
20 64

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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