Xia Dai

919 citations
35 papers · 687 · h-index 15

Impact in

Papers in

Xia Dai

31 papers receiving 664 citations

Peers

Xia Dai
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 187
  • Psychiatry and Mental health 139
  • Pediatrics, Perinatology and Child Health 69
  • Rehabilitation 24
  • Dermatology 21
Replace Shyamal Kumar Das with:
Shyamal Kumar Das India
Angela Shin‐Yu Lien Taiwan
Maria Concetta Musacchio Italy
Giovanni Chiari Italy
Mustafa Faruk Usta Türkiye
Barbara Obermayer-Pietsch Austria
Myriam Abboud United Arab Emirates
Samantha K. Hutchison Australia
Caterina Franco Italy
Tahereh Eftekhar Iran
Xia Dai relative to Shyamal Kumar Das India Shyamal Kumar Das's profile →
Citations per field
00.5×2×4×6×7×
Shyamal Kumar Das · 1×
Citations per year

Countries citing papers authored by Xia Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xia Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003159
2
A nationwide survey of diabetes education, self-management and glycemic control in patients with type 2 diabetes in China.
201274
3 201148
4 201238
5 202137
6 201935
7 201934
8 200832
9 201830
10 202322
11 201121
12 201920
13 201520
14 202018
15 201717
16 202113
17
Correlation between physical activity and self-efficacy in Chinese university students
201713
18 20189
19 20189
20 20088

About Xia Dai

Xia Dai is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research and Surgery, having authored 35 papers that have together received 687 indexed citations. Recurring topics across this work include Diabetes Management and Education (3 papers), Pregnancy and preeclampsia studies (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Gestational Diabetes Research and Management (1 paper), Plant Micronutrient Interactions and Effects (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (187 citations), Psychiatry and Mental health (139 citations), Pediatrics, Perinatology and Child Health (69 citations), Rehabilitation (24 citations) and Dermatology (21 citations). Xia Dai has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Qingqing Lou, Lu Zhai, Robert A. Scott, Chenglin Yuan, Bin Yang, Josemir W. Sander, L. L. Prilipko, Yuan Li, Zilin Sun and Meijuan Cao. Their work appears in journals such as Diabetes Therapy, Frontiers in Pharmacology, PLoS ONE, Diabetes/Metabolism Research and Reviews and Stem Cell Research & Therapy.

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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