Wei‐Ming Lee

723 citations
46 papers · 538 indexed · h-index 15

Wei‐Ming Lee

45 papers receiving 517 citations

Peers

Wei‐Ming Lee
Comparison fields: 5 of 99
  • Reproductive Medicine 138
  • Small Animals 85
  • Equine 15
  • Animal Science and Zoology 55
  • Parasitology 33
Replace Morena Di Tommaso with:
Morena Di Tommaso Italy
Steven H. Weisbroth United States
E. Aughey United Kingdom
Mona Aleksandersen Norway
Stefano Gualandi Italy
Camila Infantosi Vannucchi Brazil
Connie A. Cummings United States
Marco Pietra Italy
Víctor H. Monterroso United States
João Carlos Pinheiro Ferreira Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Wei‐Ming Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ming Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Wei‐Ming 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‐Ming Lee Line = papers co-authored together Wei‐Ming Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20205
2 20199
3
Trivalent Chromium Attenuated Corticosterone Secretion and Actions in Adrenocorticotropic Hormone-Stimulated Rats
20163
4 20161
5 20166
6 20153
7 20151
8 201485
9 20122
10 20113
11 20112
12 20116
13 201160
14 200818
15 200728
16 200621
17 200516
18 20058
19 20024
20
On the relationships of the Normanellidae and the recognition of Cletopsyllidae grad nov
199914

About Wei‐Ming Lee

Wei‐Ming Lee is a scholar working on Small Animals, Parasitology, Reproductive Medicine, Endocrine and Autonomic Systems and Critical Care and Intensive Care Medicine, having authored 46 papers that have together received 538 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Veterinary Medicine and Surgery (5 papers), Veterinary Pharmacology and Anesthesia (4 papers), Reproductive Biology and Fertility (3 papers), Sperm and Testicular Function (3 papers), Protease and Inhibitor Mechanisms (3 papers), Regulation of Appetite and Obesity (3 papers) and Anesthesia and Pain Management (2 papers). The work is most often cited by research in Reproductive Medicine (138 citations), Small Animals (85 citations), Equine (15 citations), Animal Science and Zoology (55 citations) and Parasitology (33 citations). Wei‐Ming Lee has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include C. Yan Cheng, Rony Huys, Hsien‐Chi Wang, Kwong‐Chung Tung, Xiang Xiao, Elizabeth I. Tang, Bruno Silvestrini, Constance M. John, Chris K.C. Wong and Feng‐Pang Cheng. Their work appears in journals such as American Journal of Veterinary Research, Theriogenology, Veterinary Record, Poultry Science and Journal of Wildlife Diseases.

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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