Yunxian Yu

4.0k citations
119 papers · 2.7k indexed · h-index 32

Yunxian Yu

110 papers receiving 2.7k citations

Peers

Yunxian Yu
Comparison fields: 5 of 154
  • Obstetrics and Gynecology 516
  • Pediatrics, Perinatology and Child Health 571
  • Public Health, Environmental and Occupational Health 590
  • Endocrinology, Diabetes and Metabolism 289
  • Nutrition and Dietetics 237
Replace Noel S. Weiss with:
Noel S. Weiss United States
Pak Cheung Ng Hong Kong
Weili Yan China
Claudia‐Martina Messow United Kingdom
Graham Law United Kingdom
Manuel Fuentes Spain
Silvano Milani Italy
David Chelmow United States
Oliver Micke Germany
Kwaku Ohene‐Frempong United States
Yunxian Yu relative to Noel S. Weiss United States Noel S. Weiss's profile →
Citations per field
00.5×4.1×
Noel S. Weiss · 1×
Citations per year

Countries citing papers authored by Yunxian Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yunxian Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20240
5 20248
6 20243
7 202312
8 20236
9 202214
10 20193
11 201940
12 201544
13 20159
14 20146
15 20139
16 20129
17 201258
18 200958
19 200524
20
Significant associations of the alpha-adducin gene Gly460Trp polymorphism with serum bilirubin concentrations in Chinese essential hypertension patients.
20040

About Yunxian Yu

Yunxian Yu is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Biophysics, having authored 119 papers that have together received 2.7k indexed citations. Recurring topics across this work include Birth, Development, and Health (22 papers), Gestational Diabetes Research and Management (21 papers), Pregnancy and preeclampsia studies (18 papers), Vitamin D Research Studies (15 papers), Pregnancy and Medication Impact (8 papers), Electromagnetic Fields and Biological Effects (6 papers), Obesity, Physical Activity, Diet (6 papers) and Preterm Birth and Chorioamnionitis (6 papers). The work is most often cited by research in Obstetrics and Gynecology (516 citations), Pediatrics, Perinatology and Child Health (571 citations) and Public Health, Environmental and Occupational Health (590 citations). Yunxian Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shanchun Zhang, Shuojia Wang, Colleen Pearson, Minjia Mo, Xiaobin Wang, Shuying Jiang, Zhaopin Wang, Minchao Li, Zexin Chen and Shuting Si. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and PEDIATRICS.

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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