Yu‐Wei Lai

869 citations
41 papers · 607 · h-index 16

Impact in

    • Gestational Diabetes Research and Management
    • Pregnancy and preeclampsia studies
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Yu‐Wei Lai

38 papers receiving 597 citations

Peers

Yu‐Wei Lai
Comparison fields: 5 of 105
  • Obstetrics and Gynecology 53
  • Cancer Research 67
  • Endocrine and Autonomic Systems 25
  • Nutrition and Dietetics 50
  • Biological Psychiatry 7
Replace Dong-Keon Lee with:
Dong-Keon Lee South Korea
Minji Choi South Korea
Gene Chi Wai Man Hong Kong
Damian Jacenik Poland
Chak Kwong Cheng Hong Kong
Ho Seon Park South Korea
Hangyuan Guo China
Jian Qin China
Charu Munjal United States
Yu‐Wei Lai relative to Dong-Keon Lee South Korea Dong-Keon Lee's profile →
Citations per field
00.5×2.8×
Dong-Keon Lee · 1×
Citations per year

Countries citing papers authored by Yu‐Wei Lai

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Wei Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 202054
3 202052
4 201450
5 201844
6 202238
7 202329
8 202323
9 201422
10 202222
11 201720
12 202219
13 202219
14 201918
15 201615
16 201915
17 202315
18 200813
19 202311
20 202310

About Yu‐Wei Lai

Yu‐Wei Lai is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Obstetrics and Gynecology and Oncology, having authored 41 papers that have together received 607 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Gestational Diabetes Research and Management (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Hernia repair and management (2 papers), Fungal Biology and Applications (2 papers), Circadian rhythm and melatonin (2 papers) and Connective Tissue Growth Factor Research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (53 citations), Cancer Research (67 citations), Endocrine and Autonomic Systems (25 citations), Nutrition and Dietetics (50 citations) and Biological Psychiatry (7 citations). Yu‐Wei Lai has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shih‐Wei Wang, Chih‐Hsin Tang, Huai‐Ching Tai, An Pan, An‐Chen Chang, Ching‐Hu Chung, Shih‐Chia Liu, Hui‐Lung Sun, Limiao Jiang and Heng‐Gui Chen. Their work appears in journals such as Biochemical Pharmacology, Oncotarget, American Journal of Clinical Nutrition, Patient Preference and Adherence and Journal of Food and Drug Analysis.

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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