Luyao Li

1.4k citations
85 papers · 897 · h-index 16

Impact in

Papers in

Luyao Li

72 papers receiving 883 citations

Peers

Luyao Li
Comparison fields: 5 of 115
  • Endocrinology, Diabetes and Metabolism 129
  • Obstetrics and Gynecology 56
  • Biological Psychiatry 17
  • Organic Chemistry 176
  • Complementary and alternative medicine 43
Replace Aldo Pinto with:
Aldo Pinto Italy
Mona F. El-Azab Egypt
Golnaz Vaseghi Iran
Vaddi Damodara Reddy India
Anna Bogacz Poland
Rehab Ahmed Rifaai Egypt
Noelia Díaz‐Morales Spain
Caroline Maria Oliveira Volpe Brazil
Zheng Xu China
Rafael M. Costa Brazil
Luyao Li relative to Aldo Pinto Italy Aldo Pinto's profile →
Citations per field
00.5×10×13×
Aldo Pinto · 1×
Citations per year

Countries citing papers authored by Luyao Li

Since Specialization
Citations

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

Fields of papers citing papers by Luyao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luyao Li. 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 Luyao Li. The network helps show where Luyao Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201788
2 202177
3 202269
4 201756
5 202241
6 201739
7 201734
8 202133
9 202329
10 202227
11 202320
12 202319
13 202218
14 202217
15 202016
16 202215
17 201415
18 202214
19 202414
20 202313

About Luyao Li

Luyao Li is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Molecular Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 85 papers that have together received 897 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (16 papers), Prenatal Screening and Diagnostics (14 papers), Pregnancy and preeclampsia studies (13 papers), Ferroptosis and cancer prognosis (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neonatal and fetal brain pathology (3 papers), Skin Protection and Aging (3 papers) and Phytochemicals and Antioxidant Activities (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (129 citations), Obstetrics and Gynecology (56 citations), Biological Psychiatry (17 citations), Organic Chemistry (176 citations) and Complementary and alternative medicine (43 citations). Luyao Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shan Chen, Zhenzhen Xie, Guangcheng Wang, Wenbiao Li, Ming Chen, Xiaoqin Fu, Yuan Wei, Jing Wang, Ming Chen and Yangyu Zhao. Their work appears in journals such as Frontiers in Medicine, Placenta, JAMA Network Open, Bioorganic & Medicinal Chemistry Letters and Foods.

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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