Ya Yang

433 citations
21 papers · 285 · h-index 7

Impact in

Papers in

Ya Yang

21 papers receiving 274 citations

Peers

Ya Yang
Comparison fields: 5 of 38
  • Radiology, Nuclear Medicine and Imaging 134
  • Cardiology and Cardiovascular Medicine 59
  • Genetics 22
  • Surgery 81
  • Reproductive Medicine 11
Replace Frédéric Arsenault with:
Frédéric Arsenault Canada
AM Scheule Germany
Haruhiko Sugimori Japan
A. Moelker Netherlands
Susanne Möllmann Germany
X Kang United States
Xuebo Liu China
Gilbert Beran Austria
Murat Özgün Germany
Ya Yang relative to Frédéric Arsenault Canada Frédéric Arsenault's profile →
Citations per field
00.5×3.1×
Frédéric Arsenault · 1×
Citations per year

Countries citing papers authored by Ya Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ya Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ya Yang, 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 Ya Yang Line = papers co-authored together Ya Yang 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 2008150
2 201129
3 201529
4 201111
5 20238
6 20198
7 20186
8 20106
9 20115
10
Can transthoracic Doppler echocardiography be used to detect coronary slow flow phenomenon?
20105
11 20244
12 20174
13 20054
14 20233
15 20253
16 20113
17 20132
18
Right coronary artery arising from the main pulmonary artery: evaluation with 2-dimensional transthoracic echocardiography and multislice computed tomography.
20102
19 20251
20 20251

About Ya Yang

Ya Yang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Reproductive Medicine, having authored 21 papers that have together received 285 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (3 papers), Cardiovascular Function and Risk Factors (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Intraperitoneal and Appendiceal Malignancies (1 paper), Aortic Disease and Treatment Approaches (1 paper), Aortic aneurysm repair treatments (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (134 citations), Cardiology and Cardiovascular Medicine (59 citations), Genetics (22 citations), Surgery (81 citations) and Reproductive Medicine (11 citations). Ya Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhaoqi Zhang, Wei Yu, Yujie Zhou, Zhanming Fan, Junyan Sun, Yanhui Wang, Lixin Jin, Debiao Li, Yi He and Changsheng Ma. Their work appears in journals such as International Journal of Cardiology, Journal of the American Heart Association, Cardiology, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

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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