Junyu Pei

494 citations
31 papers · 297 · h-index 11

Impact in

Papers in

Junyu Pei

28 papers receiving 295 citations

Peers

Junyu Pei
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 151
  • Endocrinology, Diabetes and Metabolism 82
  • Geriatrics and Gerontology 9
  • Radiology, Nuclear Medicine and Imaging 48
  • Surgery 85
Replace Ali Khavandi with:
Ali Khavandi United Kingdom
Dóra Ujvárosy Hungary
Ebrahim Nematipour Iran
Martina Chiriacò Italy
Tonje A. Aksnes Norway
Prashant Vaishnava United States
Konstantinos Koutsampasopoulos Greece
Angela Price United States
Xiangbin Zhong China
Mario Lombardi Italy
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Citations per field
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Ali Khavandi · 1×
Citations per year

Countries citing papers authored by Junyu Pei

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junyu Pei, 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 Junyu Pei Line = papers co-authored together Junyu Pei 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 201932
2 202330
3 202029
4 201829
5 202225
6 201919
7 201915
8 202014
9 202014
10 202011
11 202310
12 201910
13 20188
14 20218
15 20217
16 20246
17 20205
18 20195
19 20214
20 20204

About Junyu Pei

Junyu Pei is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 31 papers that have together received 297 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cardiac Imaging and Diagnostics (7 papers), Diabetes Treatment and Management (6 papers), Cardiovascular Function and Risk Factors (5 papers), Diabetes Management and Research (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Coronary Interventions and Diagnostics (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (151 citations), Endocrinology, Diabetes and Metabolism (82 citations), Geriatrics and Gerontology (9 citations), Radiology, Nuclear Medicine and Imaging (48 citations) and Surgery (85 citations). Junyu Pei has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xinqun Hu, Zhenhua Xing, Pengfei Chen, Liang Tang, Xinqun Hu, Zhenfei Fang, Shenghua Zhou, Jian Chen, Shi Tai and Yanan Li. Their work appears in journals such as Clinical Cardiology, Journal of the American Heart Association, Frontiers in Cardiovascular Medicine, Cardiovascular Diabetology 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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