Guanglei Chang

767 citations
23 papers · 619 · h-index 11

Impact in

Papers in

Guanglei Chang

21 papers receiving 614 citations

Peers

Guanglei Chang
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 181
  • Endocrinology, Diabetes and Metabolism 123
  • Pathology and Forensic Medicine 114
  • Geriatrics and Gerontology 17
  • Complementary and alternative medicine 33
Replace Youchun Jiang with:
Youchun Jiang United States
Cui Tian China
Sang Yong Ji United States
Jianbin Gong China
Olesya Ilkun United States
Héloïse Mongue‐Din United Kingdom
Gábor Czibik France
Yanqiu Xing China
Fariborz Bahrehmand Iran
Neng‐Lang Shih Taiwan
Guanglei Chang relative to Youchun Jiang United States Youchun Jiang's profile →
Citations per field
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Youchun Jiang · 1×
Citations per year

Countries citing papers authored by Guanglei Chang

Since Specialization
Citations

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

Fields of papers citing papers by Guanglei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201698
2 201888
3 201373
4 202053
5 201350
6 201448
7 201743
8 201940
9 202133
10 201629
11 201914
12 201510
13 20179
14 20168
15 20186
16
Facilitation of endothelial cell growth on hydroxylated ePTFE vascular grafts.
19925
17 20184
18 20213
19 20232
20 20222

About Guanglei Chang

Guanglei Chang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery and Pathology and Forensic Medicine, having authored 23 papers that have together received 619 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (4 papers), Cardiovascular Function and Risk Factors (3 papers), Diabetes Treatment and Management (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Blood Pressure and Hypertension Studies (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Alkaline Phosphatase Research Studies (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (181 citations), Endocrinology, Diabetes and Metabolism (123 citations), Pathology and Forensic Medicine (114 citations), Geriatrics and Gerontology (17 citations) and Complementary and alternative medicine (33 citations). Guanglei Chang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shu Qin, Ying Wang, Dongying Zhang, Peng Zhang, Kai Lü, Lei Gao, Dongying Zhang, Dan Jiang, Liyou Wang and Jian Liu. Their work appears in journals such as BMC Cardiovascular Disorders, International Journal of Molecular Medicine, Aging, Cell Death and Disease and European Journal of Pharmacology.

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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