Yu‐Wei Lai

833 citations
40 papers · 575 · 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

37 papers receiving 562 citations

Peers

Yu‐Wei Lai
Comparison fields: 5 of 111
  • Obstetrics and Gynecology 65
  • Cancer Research 74
  • Endocrine and Autonomic Systems 27
  • Nutrition and Dietetics 57
  • Biological Psychiatry 9
Replace Jaemin Byun with:
Jaemin Byun United States
Dong-Keon Lee South Korea
Jingjing Yang China
Ho Seon Park South Korea
Guangyi Li China
Minji Choi South Korea
Caitlin Nicholson United States
Charles M. Skinner United States
Yajun Deng China
Bohan Zhang China
Yu‐Wei Lai relative to Jaemin Byun United States Jaemin Byun's profile →
Citations per field
00.5×2.7×
Jaemin Byun · 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201959
2 202052
3 202050
4 201450
5 201842
6 202235
7 202325
8 201421
9 201720
10 202219
11 202319
12 202219
13 202219
14 201918
15 201615
16 201915
17 202313
18 200813
19 202310
20 20239

About Yu‐Wei Lai

Yu‐Wei Lai is a scholar working on Molecular Biology, Obstetrics and Gynecology, Surgery, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 40 papers that have together received 575 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (7 papers), Pregnancy and preeclampsia studies (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Birth, Development, and Health (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Connective Tissue Growth Factor Research (2 papers) and Infant Development and Preterm Care (2 papers). The work is most often cited by research in Obstetrics and Gynecology (65 citations), Cancer Research (74 citations), Endocrine and Autonomic Systems (27 citations), Nutrition and Dietetics (57 citations) and Biological Psychiatry (9 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, Tien‐Huang Lin, Shih‐Chia Liu, Setor K. Kunutsor and Anlan Cao. Their work appears in journals such as American Journal of Clinical Nutrition, Oncotarget, Patient Preference and Adherence, Biochemical Pharmacology and Journal of Pineal Research.

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