Xia Dai

881 citations
31 papers · 678 · h-index 14

Impact in

Papers in

Xia Dai

29 papers receiving 651 citations

Peers

Xia Dai
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 278
  • Psychiatry and Mental health 153
  • Complementary and alternative medicine 38
  • Physiology 94
  • Rehabilitation 16
Replace Vicente Renato Bagnoli with:
Vicente Renato Bagnoli Brazil
Lotta Lindh‐Åstrand Sweden
Clayton Franco Moraes Brazil
Hye‐Mi Noh South Korea
Uwe Mellinger Germany
Violetta Skrzypulec Poland
Animesh Hazari United Arab Emirates
Radhika Jadhav India
Ananthan Ambikairajah Australia
Sheila O’Neill Australia
Xia Dai relative to Vicente Renato Bagnoli Brazil Vicente Renato Bagnoli's profile →
Citations per field
00.5×2×4×6.7×
Vicente Renato Bagnoli · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003167
2
A nationwide survey of diabetes education, self-management and glycemic control in patients with type 2 diabetes in China.
201275
3 201147
4 201241
5 201940
6 201935
7 200833
8 201831
9 202327
10 201123
11 201921
12 201520
13 202018
14 201717
15
Correlation between physical activity and self-efficacy in Chinese university students
201714
16 202114
17 201811
18 20189
19 20188
20 20207

About Xia Dai

Xia Dai is a scholar working on Endocrinology, Diabetes and Metabolism, Complementary and alternative medicine, Physiology, Cardiology and Cardiovascular Medicine and Obstetrics and Gynecology, having authored 31 papers that have together received 678 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Physical Activity and Health (8 papers), Cardiovascular and exercise physiology (5 papers), Diabetes Management and Education (3 papers), Caveolin-1 and cellular processes (2 papers), Gestational Diabetes Research and Management (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (278 citations), Psychiatry and Mental health (153 citations), Complementary and alternative medicine (38 citations), Physiology (94 citations) and Rehabilitation (16 citations). Xia Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingqing Lou, Lu Zhai, Josemir W. A. S. Sander, Chenglin Yuan, Leonid L. Prilipko, Bin Yang, Feng Huang, Yuan Li, Zilin Sun and Shirong Li. Their work appears in journals such as Diabetes Therapy, PLoS ONE, Diabetes/Metabolism Research and Reviews, Frontiers in Pharmacology and Frontiers in 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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