Xingyang Yi

1.7k citations
73 papers · 1.3k · h-index 20

Impact in

Papers in

Xingyang Yi

71 papers receiving 1.3k citations

Peers

Xingyang Yi
Comparison fields: 5 of 90
  • Internal Medicine 121
  • Cardiology and Cardiovascular Medicine 576
  • Biochemistry 89
  • Epidemiology 289
  • Neurology 58
Replace Hans Denison with:
Hans Denison Sweden
Ting‐Hsing Chao Taiwan
Rossella Liani Italy
Yuliy Y. Chirkov Australia
Dachun Xu China
Magnus Settergren Sweden
H. Neubauer Germany
R De Caterina Italy
Benjamin Hafner Italy
M. Catalano Italy
Xingyang Yi relative to Hans Denison Sweden Hans Denison's profile →
Citations per field
00.5×1.6×
Hans Denison · 1×
Citations per year

Countries citing papers authored by Xingyang Yi

Since Specialization
Citations

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

Fields of papers citing papers by Xingyang Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016191
2 201267
3 201661
4 201459
5 202052
6 201645
7 201642
8 201439
9 201929
10 202028
11 201826
12 201225
13 201524
14 201923
15 201623
16 201222
17 201522
18 201720
19 201719
20 201719

About Xingyang Yi

Xingyang Yi is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Biochemistry, Pulmonary and Respiratory Medicine and Neurology, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (25 papers), Acute Ischemic Stroke Management (15 papers), Eicosanoids and Hypertension Pharmacology (10 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Stroke Rehabilitation and Recovery (2 papers). The work is most often cited by research in Internal Medicine (121 citations), Cardiology and Cardiovascular Medicine (576 citations), Biochemistry (89 citations), Epidemiology (289 citations) and Neurology (58 citations). Xingyang Yi has collaborated with scholars based in China and United States. Frequent co-authors include Jing Lin, Qiang Zhou, Chun Wang, Chun Wang, Zhao Han, Biao Zhang, Qiang Zhou, Ju Zhou, Jie Li and Wen Cheng. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Frontiers in Neurology, Brain and Behavior, BMC Neurology and Journal of Atherosclerosis and Thrombosis.

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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