Junyu Pei

509 citations
31 papers · 345 · h-index 11

Impact in

Papers in

Junyu Pei

27 papers receiving 343 citations

Peers

Junyu Pei
Comparison fields: 5 of 50
  • Endocrinology, Diabetes and Metabolism 105
  • Cardiology and Cardiovascular Medicine 122
  • Geriatrics and Gerontology 7
  • Surgery 51
  • Nephrology 11
Replace Seonghoon Choi with:
Seonghoon Choi South Korea
Lip Ping Low Singapore
Yulong Lan China
Egidija Rinkūnienė Lithuania
Xianxuan Wang China
Erfan Tasdighi United States
Sung-Chen Liu Taiwan
Asma Khaliq United States
Lucia Filippucci Italy
Yuriko Yoshida Japan
Junyu Pei relative to Seonghoon Choi South Korea Seonghoon Choi's profile →
Citations per field
00.5×1.5×2×2.3×
Seonghoon Choi · 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 202338
2 202035
3 201934
4 201830
5 202227
6 201920
7 201920
8 202020
9 202019
10 202012
11 202311
12 202411
13 201910
14 20188
15 20218
16 20218
17 20195
18 20205
19 20215
20 20255

About Junyu Pei

Junyu Pei is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Geriatrics and Gerontology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 345 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Acute Myocardial Infarction Research (7 papers), Blood Pressure and Hypertension Studies (5 papers), Coronary Interventions and Diagnostics (5 papers), Cardiac tumors and thrombi (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Cardiac Fibrosis and Remodeling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (105 citations), Cardiology and Cardiovascular Medicine (122 citations), Geriatrics and Gerontology (7 citations), Surgery (51 citations) and Nephrology (11 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, Shi Tai, Zhenfei Fang, Jian Chen, Shenghua Zhou and Xiangping Chai. Their work appears in journals such as Clinical Cardiology, Journal of the American Heart Association, Cardiovascular Diabetology, Frontiers in Cardiovascular Medicine and Molecular Medicine.

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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