Daoquan Peng

4.0k citations
101 papers · 2.2k indexed · 1 hit paper · h-index 30
Topics
Lipoproteins and Cardiovascular Health (31 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers)Cancer, Lipids, and Metabolism (17 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Daoquan Peng

98 papers receiving 2.2k citations

Hit Papers

2023 Chinese guideline for lipid management20232026202420252023255075

Peers

Daoquan Peng
Comparison fields: 5 of 114
  • Surgery 682
  • Molecular Biology 593
  • Cardiology and Cardiovascular Medicine 593
  • Endocrinology, Diabetes and Metabolism 556
  • Epidemiology 425
Replace Chiara Macchi with:
Chiara Macchi Italy
Ryuji Toh Japan
Lisa R. Tannock United States
Daisuke Fujioka Japan
Viviane Zorzanelli Rocha Brazil
Shusuke Yagi Japan
Thomas Gautier France
Steven J. Adelman United States
Andrea Baragetti Italy
Marina Cardellini Italy
Daoquan Peng relative to Chiara Macchi Italy Chiara Macchi's profile →
Citations per field
00.5×1.5×1.9×
Chiara Macchi · 1×
Citations per year

Countries citing papers authored by Daoquan Peng

Since Specialization
Citations

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

Fields of papers citing papers by Daoquan Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoquan Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Daoquan Peng. A scholar is included among the top collaborators of Daoquan Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daoquan Peng. Daoquan Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 6
4 1
5 11
6 8
7 26
8 4
9 8
10 15
11 3
12 30
13 57
14 9
15 45
16 61
17 3
18 21
19 1
20 44

About Daoquan Peng

Daoquan Peng is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 101 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (31 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers) and Cancer, Lipids, and Metabolism (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (556 citations), Cardiology and Cardiovascular Medicine (593 citations) and Cancer Research (333 citations). Daoquan Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shui‐Ping Zhao, Xin Su, Mengdie Luo, Yi Wen Kong, Hao Wang, Shuai Wang, Bilian Yu, Shuhui Wang, Xin Su and Die Hu. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

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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