John Yap

881 citations
23 papers · 404 · h-index 10

Impact in

Papers in

John Yap

20 papers receiving 400 citations

Peers

John Yap
Comparison fields: 5 of 46
  • Cardiology and Cardiovascular Medicine 340
  • Radiology, Nuclear Medicine and Imaging 143
  • Epidemiology 108
  • Pulmonary and Respiratory Medicine 93
  • Developmental Neuroscience 10
Replace Tim Attmann with:
Tim Attmann Germany
T.J. Spyt United Kingdom
Andrea Grohmann Germany
Ines Bühler Switzerland
A. Bertaso Australia
Yang Min Kim South Korea
Takahiro Shojima Japan
Giulia Vettor Italy
Paride Giannantoni Italy
Dai Une Japan
John Yap relative to Tim Attmann Germany Tim Attmann's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Yap

Since Specialization
Citations

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

Fields of papers citing papers by John Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012137
2 201782
3 201632
4 201725
5 201117
6 201617
7 201416
8 201715
9 201413
10 20159
11 20168
12 20047
13 20186
14 19995
15 20055
16 20123
17 20142
18 20072
19 20112
20 20041

About John Yap

John Yap is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 404 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (13 papers), Aortic Disease and Treatment Approaches (8 papers), Infective Endocarditis Diagnosis and Management (5 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiac and Coronary Surgery Techniques (3 papers), Aortic aneurysm repair treatments (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (340 citations), Radiology, Nuclear Medicine and Imaging (143 citations), Epidemiology (108 citations), Pulmonary and Respiratory Medicine (93 citations) and Developmental Neuroscience (10 citations). John Yap has collaborated with scholars based in United Kingdom, France and Italy. Frequent co-authors include James Moon, Derek J. Hausenloy, Shyam Kolvekar, Anna S Herrey, Daniel Sado, Giovanni Quarta, Cono Ariti, Mariana Mirabel, Denis Pellerin and Andrew M. Taylor. Their work appears in journals such as The Heart Surgery Forum, Journal of the American College of Cardiology, Journal of Cardiovascular Magnetic Resonance, European Heart Journal - Cardiovascular Imaging and The Annals of Thoracic 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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