Dongping Guo

12 papers receiving 168 citations

Peers

Dongping Guo
Comparison fields: 5 of 52
  • Endocrinology, Diabetes and Metabolism 50
  • Automotive Engineering 31
  • Cardiology and Cardiovascular Medicine 40
  • Biotechnology 15
  • Biomedical Engineering 53
Replace Daniela Zdzieblo with:
Daniela Zdzieblo Germany
Yu Hui Zhang China
Rupal Hatkar Canada
Linbo Guan China
Stanislav Žiaran Slovakia
Maturada Patchsung Thailand
Katherine Tang United States
Solène Emmanuelle Boitard France
Fanlei Kong China
Dongping Guo relative to Daniela Zdzieblo Germany Daniela Zdzieblo's profile →
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Citations per year

Countries citing papers authored by Dongping Guo

Since Specialization
Citations

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

Fields of papers citing papers by Dongping Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200558
2 200629
3 200423
4 202212
5
[Study on the association of ABCA1 gene common variants with the risk of coronary atherosclerotic heart disease].
200511
6 202310
7 20247
8
Association between apolipoprotein A5 - 1131T > C polymorphism and susceptibility of coronary artery disease in Chinese.
20057
9 20236
10 20245
11 20242
12 20221
13 20250
14 20240

About Dongping Guo

Dongping Guo is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis, Surgery, Materials Chemistry and Transportation, having authored 14 papers that have together received 171 indexed citations. Recurring topics across this work include Vehicle emissions and performance (7 papers), Air Quality and Health Impacts (5 papers), Energy, Environment, and Transportation Policies (2 papers), Air Quality Monitoring and Forecasting (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Transportation Planning and Optimization (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (50 citations), Automotive Engineering (31 citations), Cardiology and Cardiovascular Medicine (40 citations), Biotechnology (15 citations) and Biomedical Engineering (53 citations). Dongping Guo has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Ping Sun, Leming Fan, Yibo Tang, Qi Chen, Yong Ji, Albert Ferro, Xiuying Chen, Xiaoyu Li, Xiaorong Li and Qi Chen. Their work appears in journals such as Journal of Cleaner Production, Energy and AI, Toxics, Environment International and Applied Energy.

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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