Jun Jiang

2.7k citations
114 papers · 1.6k · h-index 21

Impact in

Papers in

    • Acute Myocardial Infarction Research 6
    • ECG Monitoring and Analysis 5
    • Atrial Fibrillation Management and Outcomes 4
    • Antiplatelet Therapy and Cardiovascular Diseases 4
    • Coronary Interventions and Diagnostics 23

Jun Jiang

106 papers receiving 1.6k citations

Peers

Jun Jiang
Comparison fields: 5 of 121
  • Genetics 241
  • Cardiology and Cardiovascular Medicine 238
  • Surgery 416
  • Developmental Neuroscience 38
  • Cancer Research 131
Replace Shengshou Hu with:
Shengshou Hu China
Bo Chen China
Santiago Miriuka Argentina
Sarah Tzu-Feng Hsiao United Kingdom
Katharina Heß Germany
Bruno Karl Podesser Austria
Michael White United States
Tokunori Yamamoto Japan
Michael J. Eppihimer United States
Paolo Gaetani Italy
Jun Jiang relative to Shengshou Hu China Shengshou Hu's profile →
Citations per field
00.5×1.7×
Shengshou Hu · 1×
Citations per year

Countries citing papers authored by Jun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008131
2 2008126
3 200883
4 201072
5 200859
6 202049
7 202346
8 202243
9 202239
10 201536
11 200835
12 202034
13 202234
14 202232
15 202031
16 202031
17 202230
18 202126
19 201926
20 202121

About Jun Jiang

Jun Jiang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Genetics and Internal Medicine, having authored 114 papers that have together received 1.6k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (23 papers), Cardiac Imaging and Diagnostics (10 papers), Mesenchymal stem cell research (7 papers), Acute Myocardial Infarction Research (6 papers), ECG Monitoring and Analysis (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Genetics (241 citations), Cardiology and Cardiovascular Medicine (238 citations), Surgery (416 citations), Developmental Neuroscience (38 citations) and Cancer Research (131 citations). Jun Jiang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianan Wang, Meixiang Xiang, Rong‐Hua Luo, Chun Gui, Delong Chen, Yuxuan Zhang, Changling Li, Shan Ping Yu, Ling Wei and Lin Cui. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Cardiovascular Diabetology, BioMedical Engineering OnLine, Cardiovascular Drugs and Therapy and Journal of Zhejiang University SCIENCE B.

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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