Wei-Hua Lee

858 citations
28 papers · 729 indexed · h-index 19
Topics
Growth Hormone and Insulin-like Growth Factors (13 papers)Ophthalmology and Eye Disorders (3 papers)Metabolism, Diabetes, and Cancer (3 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Wei-Hua Lee

28 papers receiving 713 citations

Peers

Wei-Hua Lee
Comparison fields: 5 of 94
  • Molecular Biology 291
  • Endocrinology, Diabetes and Metabolism 234
  • Cellular and Molecular Neuroscience 126
  • Pediatrics, Perinatology and Child Health 120
  • Genetics 94
Replace Richard J. Lang with:
Richard J. Lang Australia
Seong‐Jin Yu United States
Jacques Debets Netherlands
Willem J. de Lange United States
Pablo Devesa Spain
Praneeti Pathipati United States
Vincenzo Salpietro Italy
Cristiana Deledda Italy
Emi Morishita Japan
David Czeiger Israel
Wei-Hua Lee relative to Richard J. Lang Australia Richard J. Lang's profile →
Citations per field
00.5×1.5×2.2×
Richard J. Lang · 1×
Citations per year

Countries citing papers authored by Wei-Hua Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Hua Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Hua Lee. 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 Wei-Hua Lee. The network helps show where Wei-Hua Lee may publish in the future.

Co-authorship network of co-authors of Wei-Hua Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Hua Lee. A scholar is included among the top collaborators of Wei-Hua Lee 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 Wei-Hua Lee. Wei-Hua Lee 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 24
2 31
3 30
4 32
5 11
6 3
7 34
8 2
9 21
10 3
11 6
12 26
13 34
14 35
15 48
16 18
17 43
18 27
19 33
20 113

About Wei-Hua Lee

Wei-Hua Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 729 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Ophthalmology and Eye Disorders (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Developmental Neuroscience (77 citations), Endocrinology, Diabetes and Metabolism (234 citations) and Obstetrics and Gynecology (59 citations). Wei-Hua Lee has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Jin Zhong, David P. Henry, Ronald R. Bowsher, Bernardino Ghetti, Peter J. O’Brien, Wei Zhang, Wei Zhang, Mark A. Bach, Carolyn A. Bondy and Antonio Migheli. Their work appears in journals such as Nature Medicine, Scientific Reports and Endocrinology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026