Daoyuan Si

551 citations
38 papers · 355 · h-index 11

Impact in

Papers in

    • Atrial Fibrillation Management and Outcomes 7
    • Cardiac tumors and thrombi 7
    • Cardiac electrophysiology and arrhythmias 5
    • Cardiac Arrhythmias and Treatments 4
    • Acute Myocardial Infarction Research 4
    • COVID-19 Clinical Research Studies 8

Daoyuan Si

37 papers receiving 349 citations

Peers

Daoyuan Si
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 190
  • Internal Medicine 18
  • Infectious Diseases 58
  • Neurology 42
  • Endocrinology, Diabetes and Metabolism 40
Replace Hailan Zhu with:
Hailan Zhu China
Yubi Lin China
Gajen Kanaganayagam United Kingdom
Adam Ioannou United Kingdom
Xiaodong Jing China
Hannah Melchinger United States
Matthias Hammwöhner Germany
Sabrina H. van Ierssel Belgium
V. А. Snezhitskiy Belarus
Shogo Imagawa Japan
Daoyuan Si relative to Hailan Zhu China Hailan Zhu's profile →
Citations per field
00.5×10×14×
Hailan Zhu · 1×
Citations per year

Countries citing papers authored by Daoyuan Si

Since Specialization
Citations

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

Fields of papers citing papers by Daoyuan Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202042
2 202137
3 202226
4 202124
5 201324
6 201522
7 202017
8 201515
9 202212
10 201311
11 201811
12 201910
13 202110
14 202010
15 20209
16 20229
17 20218
18 20207
19 20216
20 20186

About Daoyuan Si

Daoyuan Si is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Surgery, Molecular Biology and Neurology, having authored 38 papers that have together received 355 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Atrial Fibrillation Management and Outcomes (7 papers), Cardiac tumors and thrombi (7 papers), Long-Term Effects of COVID-19 (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Cardiac Arrhythmias and Treatments (4 papers), Coronary Interventions and Diagnostics (4 papers) and Acute Myocardial Infarction Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (190 citations), Internal Medicine (18 citations), Infectious Diseases (58 citations), Neurology (42 citations) and Endocrinology, Diabetes and Metabolism (40 citations). Daoyuan Si has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ping Yang, Beibei Du, Kumaraswamy Nanthakumar, Stéphane Massé, Qian Zhang, Zhongfan Zhang, Patrick F.H. Lai, Mohammed Ali Azam, Praloy Chakraborty and Guohui Liu. Their work appears in journals such as BMC Cardiovascular Disorders, Medicine, JACC CardioOncology, JACC: Cardiovascular Interventions and Canadian Journal of Cardiology.

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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