Wei‐Ming Lee

698 citations
47 papers · 554 · h-index 15

Impact in

Papers in

Wei‐Ming Lee

45 papers receiving 530 citations

Peers

Wei‐Ming Lee
Comparison fields: 5 of 96
  • Reproductive Medicine 140
  • Small Animals 84
  • Equine 14
  • Animal Science and Zoology 52
  • Parasitology 32
Replace Morena Di Tommaso with:
Morena Di Tommaso Italy
C. Max Lang United States
Camila Infantosi Vannucchi Brazil
Fernando Cabrera Spain
Gabriele Rossi Italy
Lynn M. Wachtman United States
Marco Pietra Italy
Walter Bagdon United States
K. Voigt Germany
Bon‐Hee Gu South Korea
Wei‐Ming Lee relative to Morena Di Tommaso Italy Morena Di Tommaso's profile →
Citations per field
00.5×5.4×
Morena Di Tommaso · 1×
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-authors

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

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201491
2 201162
3 199942
4 200731
5 201131
6 200623
7 200923
8 201521
9 200621
10 200819
11 200119
12 200517
13 200217
14 201616
15
On the relationships of the Normanellidae and the recognition of Cletopsyllidae grad nov
199914
16 200411
17 20059
18 20199
19 20078
20 20068

About Wei‐Ming Lee

Wei‐Ming Lee is a scholar working on Small Animals, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology and Reproductive Medicine, having authored 47 papers that have together received 554 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Veterinary Pharmacology and Anesthesia (4 papers), Veterinary Medicine and Surgery (4 papers), Regulation of Appetite and Obesity (3 papers), Sperm and Testicular Function (3 papers), Protease and Inhibitor Mechanisms (3 papers), Acupuncture Treatment Research Studies (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Reproductive Medicine (140 citations), Small Animals (84 citations), Equine (14 citations), Animal Science and Zoology (52 citations) and Parasitology (32 citations). Wei‐Ming Lee has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include C. Yan Cheng, Hsien‐Chi Wang, Xiang Xiao, Elizabeth I. Tang, Chris K.C. Wong, Kwong‐Chung Tung, Bruno Silvestrini, Constance M. John, Feng‐Pang Cheng and Chi‐Chung Chou. Their work appears in journals such as American Journal of Veterinary Research, Theriogenology, Veterinary Record, Poultry Science and Journal of Forensic 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.

Explore authors with similar magnitude of impact