Kai-Lee Wang

1.4k citations
49 papers · 1.2k · h-index 21

Impact in

Papers in

Kai-Lee Wang

49 papers receiving 1.1k citations

Peers

Kai-Lee Wang
Comparison fields: 5 of 100
  • Pharmacology 256
  • Reproductive Medicine 120
  • Biochemistry 50
  • Obstetrics and Gynecology 54
  • Applied Microbiology and Biotechnology 14
Replace Liquan Wang with:
Liquan Wang China
Seon‐Hee Oh South Korea
Yavuz Dodurga Türkiye
Min Su China
Mei-Ling Tsai Taiwan
Memy H. Hassan Egypt
Sreepoorna Pramodh United Arab Emirates
Mohammad Ahmed Khan India
Eman T. Mehanna Egypt
Hari K. Bhat United States
Kai-Lee Wang relative to Liquan Wang China Liquan Wang's profile →
Citations per field
00.5×3.5×
Liquan Wang · 1×
Citations per year

Countries citing papers authored by Kai-Lee Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kai-Lee Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021120
2 201395
3 201672
4 202065
5 200958
6 202057
7 202151
8 202044
9 201342
10 201940
11 202037
12 202234
13 201030
14 201130
15 201928
16 202128
17 201828
18 202228
19 202126
20 201822

About Kai-Lee Wang

Kai-Lee Wang is a scholar working on Pharmacology, Molecular Biology, Health, Toxicology and Mutagenesis, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (10 papers), Hormonal and reproductive studies (7 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Endometriosis Research and Treatment (5 papers), Sirtuins and Resveratrol in Medicine (4 papers), Ginseng Biological Effects and Applications (4 papers), Menstrual Health and Disorders (3 papers) and Seaweed-derived Bioactive Compounds (3 papers). The work is most often cited by research in Pharmacology (256 citations), Reproductive Medicine (120 citations), Biochemistry (50 citations), Obstetrics and Gynecology (54 citations) and Applied Microbiology and Biotechnology (14 citations). Kai-Lee Wang has collaborated with scholars based in Taiwan, Egypt and United States. Frequent co-authors include Shih‐Min Hsia, Tzong‐Ming Shieh, Y-H. Chen, Tsui‐Chin Huang, Paulus S. Wang, Yi-Fen Chiang, Mohamed Ali, Chih‐Hsiung Wu, Yi‐Fen Chiang and Po‐Han Lin. Their work appears in journals such as Antioxidants, Biology of Reproduction, Journal of Functional Foods, Molecules and Free Radical Biology and Medicine.

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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