W W Chin

2.1k citations
25 papers · 1.8k indexed · h-index 17
Topics
Estrogen and related hormone effects (10 papers)Thyroid Disorders and Treatments (9 papers)Growth Hormone and Insulin-like Growth Factors (6 papers)

In The Last Decade

W W Chin

25 papers receiving 1.8k citations

Peers

W W Chin
Comparison fields: 5 of 85
  • Molecular Biology 740
  • Cellular and Molecular Neuroscience 631
  • Endocrinology, Diabetes and Metabolism 523
  • Genetics 407
  • Reproductive Medicine 349
Replace D. H. Coy with:
D. H. Coy United States
Jeannie F Todd United Kingdom
D.A. Leong United States
Jacob Kraicer Canada
D. Gourdji France
Hagit Shapira Israel
Maïté Montero‐Hadjadje France
Rafael Vázquez-Martı́nez Spain
Nobuyuki Shibusawa Japan
Dominic J. Autelitano Australia
W W Chin relative to D. H. Coy United States D. H. Coy's profile →
Citations per field
00.5×
D. H. Coy · 1×
Citations per year

Countries citing papers authored by W W Chin

Since Specialization
Citations

This map shows the geographic impact of W 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 W 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 W W Chin more than expected).

Fields of papers citing papers by W W Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of W W Chin. A scholar is included among the top collaborators of W 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 W W Chin. W 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
#WorkIndexed citations
1 7
2 311
3 16
4 2
5 5
6 13
7 7
8 43
9 22
10
Orientation and spacing of half-sites differentially affect T3-receptor (TR) monomer, homodimer, and heterodimer binding to thyroid hormone response elements
14
11 63
12 53
13 12
14 111
15 214
16 210
17 16
18 48
19 198
20 124

About W W Chin

W W Chin is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Reproductive Medicine, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Thyroid Disorders and Treatments (9 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (340 citations), Reproductive Medicine (349 citations) and Cellular and Molecular Neuroscience (631 citations). W W Chin has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Eliot R. Spindel, Lee M. Kaplan, Paul M. Yen, Joel F. Habener, Kurt J. Isselbacher, Mary E. Sunday, P C Dee, M A Lazar, Richard A. Hodin and L. H. Rees. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Endocrine Reviews.

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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