Luting Yu

480 citations
29 papers · 373 · h-index 12

Impact in

Papers in

Luting Yu

24 papers receiving 365 citations

Peers

Luting Yu
Comparison fields: 5 of 57
  • Pediatrics, Perinatology and Child Health 51
  • Rehabilitation 20
  • Obstetrics and Gynecology 18
  • Biomaterials 22
  • Pathology and Forensic Medicine 27
Replace José Geovanni Romero-Quintana with:
José Geovanni Romero-Quintana Mexico
Mohsen Saeidi Iran
Yusi Liu China
Xiaofu Yang China
Yanan Cui China
Lingxiao Zhang China
Tarek Magdy United States
Janis MacCallum United Kingdom
Jipeng Wan China
Luting Yu relative to José Geovanni Romero-Quintana Mexico José Geovanni Romero-Quintana's profile →
Citations per field
00.5×2×3×3.9×
José Geovanni Romero-Quintana · 1×
Citations per year

Countries citing papers authored by Luting Yu

Since Specialization
Citations

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

Fields of papers citing papers by Luting Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202353
2 202341
3 202233
4 201832
5 200631
6 201825
7 201121
8 201618
9 201516
10 201814
11 201814
12 201914
13 202012
14 202211
15 20197
16 20156
17 20236
18 20235
19 20255
20 20233

About Luting Yu

Luting Yu is a scholar working on Pediatrics, Perinatology and Child Health, Biomaterials, Surgery, Genetics and Rehabilitation, having authored 29 papers that have together received 373 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Birth, Development, and Health (5 papers), Prenatal Substance Exposure Effects (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Pancreatic function and diabetes (4 papers), Nanoplatforms for cancer theranostics (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (51 citations), Rehabilitation (20 citations), Obstetrics and Gynecology (18 citations), Biomaterials (22 citations) and Pathology and Forensic Medicine (27 citations). Luting Yu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Chen Luo, Wen Ming Huang, Lili Ren, Jin Zhou, Hui Wang, Yuanzhen Zhang, Jia Liu, Guoguang Chen, Wei Zhang and Wei Wang. Their work appears in journals such as Toxicology and Applied Pharmacology, Toxicology Letters, Biomedicine & Pharmacotherapy, Biomacromolecules and Materials Today Nano.

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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