Xia Dai

895 citations
32 papers · 643 · h-index 15

Impact in

Papers in

Xia Dai

30 papers receiving 630 citations

Peers

Xia Dai
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 262
  • Psychiatry and Mental health 140
  • Rehabilitation 48
  • Occupational Therapy 29
  • Pediatrics, Perinatology and Child Health 131
Replace Em Yunir with:
Em Yunir Indonesia
Angela Shin‐Yu Lien Taiwan
Giovanni Chiari Italy
Holly Clarke United States
Lluís Masmiquel Spain
Thomas W. Boyden United States
Andria M. Pontello United States
Rong Yang China
Shyamal Kumar Das India
Douglas M. Crist United States
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Citations per field
00.5×10×12.5×
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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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003146
2
A nationwide survey of diabetes education, self-management and glycemic control in patients with type 2 diabetes in China.
201273
3 201145
4 201238
5 201934
6 202133
7 200831
8 201930
9 201829
10 201119
11 201519
12 201919
13 202018
14 202317
15 201716
16 202113
17
Correlation between physical activity and self-efficacy in Chinese university students
201712
18 20189
19 20187
20 20087

About Xia Dai

Xia Dai is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology and Surgery, having authored 32 papers that have together received 643 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Diabetes Management and Research (3 papers), Diabetes Treatment and Management (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes Management and Education (3 papers), Wound Healing and Treatments (2 papers), Phytoestrogen effects and research (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (262 citations), Psychiatry and Mental health (140 citations), Rehabilitation (48 citations), Occupational Therapy (29 citations) and Pediatrics, Perinatology and Child Health (131 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, Josemir W. Sander, Chenglin Yuan, L. L. Prilipko, Jian Wu, Bin Yang, Yuan Li and Zilin Sun. Their work appears in journals such as Diabetes Therapy, Diabetes/Metabolism Research and Reviews, PLoS ONE, Cellular Reprogramming and Journal of Diabetes.

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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