William W. Chin

19.2k total citations · 1 hit paper
266 papers, 16.0k citations indexed

About

William W. Chin is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, William W. Chin has authored 266 papers receiving a total of 16.0k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Genetics, 111 papers in Molecular Biology and 106 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in William W. Chin's work include Estrogen and related hormone effects (94 papers), Growth Hormone and Insulin-like Growth Factors (78 papers) and Thyroid Disorders and Treatments (63 papers). William W. Chin is often cited by papers focused on Estrogen and related hormone effects (94 papers), Growth Hormone and Insulin-like Growth Factors (78 papers) and Thyroid Disorders and Treatments (63 papers). William W. Chin collaborates with scholars based in United States, Japan and Singapore. William W. Chin's co-authors include Mitchell A. Lazar, Paul M. Yen, Ursula B. Kaiser, Noriyuki Koibuchi, Douglas S. Darling, Richard A. Hodin, Guemalli R. Cardona, Joel F. Habener, Derek P. Brazil and James K. Liao and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

William W. Chin

265 papers receiving 15.5k citations

Hit Papers

Interaction of oestrogen receptor with the regulatory sub... 2000 2026 2008 2017 2000 250 500 750 1000

Peers

William W. Chin
Comparison fields: 5 of 173
  • Molecular Biology 7.4k
  • Genetics 6.0k
  • Endocrinology, Diabetes and Metabolism 5.8k
  • Reproductive Medicine 3.1k
  • Cellular and Molecular Neuroscience 1.4k
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Citations per field, relative to William W. Chin
William W. Chin · 1×
Citations per year, relative to William W. Chin
William W. Chin · 1×

Countries citing papers authored by William W. Chin

Since Specialization
Citations

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

Fields of papers citing papers by William W. Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William W. Chin. 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 William W. Chin. The network helps show where William W. Chin may publish in the future.

Co-authorship network of co-authors of William W. Chin

This figure shows the co-authorship network connecting the top 25 collaborators of William W. Chin. A scholar is included among the top collaborators of William W. Chin 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 William W. Chin. William W. Chin 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 44
2 45
3 1
4 7
5 90
6 39
7 4
8 46
9 38
10 21
11 30
12
Interaction of oestrogen receptor with the regulatory subunit of phosphatidylinositol-3-OH kinase breakdown →
1158
13 50
14 260
15 47
16 52
17 384
18 111
19 44
20 7

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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