Pai Ching Yu

687 citations
21 papers · 276 · h-index 10

Impact in

Papers in

Pai Ching Yu

19 papers receiving 258 citations

Peers

Pai Ching Yu
Comparison fields: 5 of 49
  • Cardiology and Cardiovascular Medicine 180
  • Emergency Medicine 43
  • Surgery 137
  • Pulmonary and Respiratory Medicine 78
  • Radiology, Nuclear Medicine and Imaging 52
Replace André Coelho Marques with:
André Coelho Marques Brazil
Mohammed Abdullahi Talle Nigeria
Vishal Sharma United Kingdom
Ahmad A. Abdul-Aziz United States
Lowell H. Frank United States
Maria Viviana Carlino Italy
Chikezie Alvarez United States
Eduardo Gehling Bertoldi Brazil
André Luz Portugal
Pablo Jorge-Monjas Spain
Pai Ching Yu relative to André Coelho Marques Brazil André Coelho Marques's profile →
Citations per field
00.5×4.4×
André Coelho Marques · 1×
Citations per year

Countries citing papers authored by Pai Ching Yu

Since Specialization
Citations

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

Fields of papers citing papers by Pai Ching Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pai Ching Yu. 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 Pai Ching Yu. The network helps show where Pai Ching Yu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201282
2 201833
3 201026
4 200823
5 202218
6 200517
7 201214
8 201311
9 20089
10 20159
11 20147
12 20076
13 20055
14 20104
15 20134
16 20123
17 20052
18 20122
19 20091
20 20130

About Pai Ching Yu

Pai Ching Yu is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Emergency Medicine, having authored 21 papers that have together received 276 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (9 papers), Hemodynamic Monitoring and Therapy (6 papers), Acute Ischemic Stroke Management (4 papers), Aortic aneurysm repair treatments (4 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (180 citations), Emergency Medicine (43 citations), Surgery (137 citations), Pulmonary and Respiratory Medicine (78 citations) and Radiology, Nuclear Medicine and Imaging (52 citations). Pai Ching Yu has collaborated with scholars based in Brazil, Italy and Portugal. Frequent co-authors include Bruno Caramelli, Daniela Calderaro, Danielle Menosi Gualandro, André Coelho Marques, Adriana F. Pastana, Carlos M. Campos, Pedro A. Lemos, Isabela de Carlos Back Giuliano, Sérgio Santoro and Maria Lúcia Corrêa‐Giannella. Their work appears in journals such as Atherosclerosis, Internal and Emergency Medicine, European Heart Journal, BMC Medicine and Obesity Surgery.

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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