Weijing Wang

122 papers receiving 2.2k citations

Peers

Weijing Wang
Comparison fields: 5 of 147
  • Health, Toxicology and Mutagenesis 252
  • Nutrition and Dietetics 254
  • Biological Psychiatry 38
  • Environmental Chemistry 139
  • Obstetrics and Gynecology 82
Replace Hirokazu Uemura with:
Hirokazu Uemura Japan
Roland Eghoghosoa Akhigbe Nigeria
Jingjing Jiao China
Xiaoyan Yan China
Zengli Yu China
Patricia López Chile
Dora Romaguera Spain
Richa Gupta India
Geng Zong China
Tianyi Huang United States
Weijing Wang relative to Hirokazu Uemura Japan Hirokazu Uemura's profile →
Citations per field
00.5×4.7×
Hirokazu Uemura · 1×
Citations per year

Countries citing papers authored by Weijing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weijing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017194
2 2017140
3 2013128
4 2014107
5 202087
6 201586
7 201684
8 201574
9 201367
10 201660
11 201758
12 201655
13 201955
14 201739
15 201839
16 201736
17 201835
18 201633
19 202133
20 201732

About Weijing Wang

Weijing Wang is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Epidemiology, having authored 131 papers that have together received 2.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (18 papers), Genetic Associations and Epidemiology (12 papers), Birth, Development, and Health (12 papers), Nutritional Studies and Diet (10 papers), Liver Disease Diagnosis and Treatment (5 papers), Trace Elements in Health (5 papers), Nutrition and Health in Aging (4 papers) and Gestational Diabetes Research and Management (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (252 citations), Nutrition and Dietetics (254 citations), Biological Psychiatry (38 citations), Environmental Chemistry (139 citations) and Obstetrics and Gynecology (82 citations). Weijing Wang has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Dongfeng Zhang, Yili Wu, Tianwei Liu, Zongyao Li, Xueling Xin, Xingxing Song, Shuo Cheng, Yan Lin, Fang Li and Haiping Duan. Their work appears in journals such as Nutrients, Journal of Affective Disorders, Scientific Reports, International Journal of Obesity and European Journal of Nutrition.

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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