Wei‐Te Lee

21 papers receiving 707 citations

Peers

Wei‐Te Lee
Comparison fields: 5 of 100
  • Reproductive Medicine 115
  • Behavioral Neuroscience 44
  • Molecular Medicine 41
  • Endocrine and Autonomic Systems 50
  • Social Psychology 157
Replace Mohammad Alqudah with:
Mohammad Alqudah Jordan
Ron Beloosesky Israel
Nicole A. Calder United Kingdom
Jan Brundin Sweden
Fan Jing Meng China
Kan Zhang China
Matthew Thomas Smith United States
Dongming Zheng China
David J. Nusbaum United States
A.N. Elias United States
Wei‐Te Lee relative to Mohammad Alqudah Jordan Mohammad Alqudah's profile →
Citations per field
00.5×2×4×6×8.3×
Mohammad Alqudah · 1×
Citations per year

Countries citing papers authored by Wei‐Te Lee

Since Specialization
Citations

This map shows the geographic impact of Wei‐Te 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‐Te 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‐Te Lee more than expected).

Fields of papers citing papers by Wei‐Te Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei‐Te Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei‐Te Lee Line = papers co-authored together Wei‐Te Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990185
2 201061
3 201360
4 201160
5 201157
6 201048
7 200844
8 201632
9 200832
10 200824
11 201017
12 201516
13 200513
14 201213
15 201712
16 200912
17 201512
18 201412
19 20108
20 20168

About Wei‐Te Lee

Wei‐Te Lee is a scholar working on Music, Behavioral Neuroscience, Molecular Medicine, Infectious Diseases and Social Psychology, having authored 21 papers that have together received 731 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (2 papers), Diverse Music Education Insights (2 papers), Antibiotic Resistance in Bacteria (2 papers), Music Therapy and Health (2 papers), Stress Responses and Cortisol (2 papers), Neuroscience and Music Perception (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Gastrointestinal disorders and treatments (1 paper). The work is most often cited by research in Reproductive Medicine (115 citations), Behavioral Neuroscience (44 citations), Molecular Medicine (41 citations), Endocrine and Autonomic Systems (50 citations) and Social Psychology (157 citations). Wei‐Te Lee has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Mark D. Fitzsimmons, Barbara Attardi, Gloria E. Hoffman, Hsiu‐Lin Chen, Rei‐Cheng Yang, Lung‐Chang Lin, Ruey-Chang Wei, Hui‐Chuan Wu, Yuh‐Jyh Jong and Hin‐Kiu Mok. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Epilepsy & Behavior, PLoS ONE, Endocrinology and Cellular and Molecular Life Sciences.

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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