Guowu Ding

10 papers receiving 601 citations

Guowu Ding's Hit Papers

Exercise training modalities in patients with type 2 diabetes mellitus: a systematic review and network meta-analysis 2018 · 275 citations
2750+2+5Years since publication50100150200250

Peers

Guowu Ding
Comparison fields: 5 of 100
  • Physiology 237
  • Health, Toxicology and Mutagenesis 106
  • Endocrinology, Diabetes and Metabolism 127
  • Complementary and alternative medicine 60
  • Endocrine and Autonomic Systems 33
Replace Eva Balcells with:
Eva Balcells Spain
Ninghao Huang China
Julie Ménard Canada
Chengyi Han China
Antônio Renê United States
Xinling Qian China
Shin‐ya Nagasawa Japan
Sheila M. Hegde United States
Abhinav Goyal United States
Jason Clark United States
Guowu Ding relative to Eva Balcells Spain Eva Balcells's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guowu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Guowu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Exercise training modalities in patients with type 2 diabetes mellitus: a systematic review and network meta-analysis
Hit paper breakdown →
2018275
2 201799
3 201982
4 201877
5 202237
6 201421
7 20218
8 20225
9 20213
10
Effect of Sand Dust Storm on Incidence Rate of Respiratory Diseases
20072

About Guowu Ding

Guowu Ding is a scholar working on Public Health, Environmental and Occupational Health, Complementary and alternative medicine, Nutrition and Dietetics, General Health Professions and Health, Toxicology and Mutagenesis, having authored 10 papers that have together received 609 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (2 papers), Obesity, Physical Activity, Diet (2 papers), Air Quality and Health Impacts (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Long-Term Effects of COVID-19 (1 paper), Aeolian processes and effects (1 paper), Child Nutrition and Feeding Issues (1 paper) and Heavy Metal Exposure and Toxicity (1 paper). The work is most often cited by research in Physiology (237 citations), Health, Toxicology and Mutagenesis (106 citations), Endocrinology, Diabetes and Metabolism (127 citations), Complementary and alternative medicine (60 citations) and Endocrine and Autonomic Systems (33 citations). Guowu Ding has collaborated with scholars based in China and United States. Frequent co-authors include Bei Pan, Long Ge, Jinhui Tian, Yangqin Xun, Kehu Yang, Yajing Chen, Xue Han, Houqian Shan, Jinhui Tian and Xuping Song. Their work appears in journals such as Frontiers in Pediatrics, BMC Pediatrics, Journal of Evidence-Based Medicine, Chronobiology International and Critical Reviews in Food Science and 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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