Yi‐Ning Yang

3.6k citations
221 papers · 2.8k · h-index 27

Impact in

Papers in

Yi‐Ning Yang

207 papers receiving 2.8k citations

Peers

Yi‐Ning Yang
Comparison fields: 5 of 121
  • Cardiology and Cardiovascular Medicine 709
  • Genetics 458
  • Nephrology 154
  • Cancer Research 179
  • Endocrinology, Diabetes and Metabolism 201
Replace Bang‐Dang Chen with:
Bang‐Dang Chen China
Bin Yu China
Óscar Beloqui Spain
Anders Gabrielsen Sweden
Takahide Kohro Japan
Katrin Schäfer Germany
Aeron Small United States
Paola Altieri Italy
Hideo Izawa Japan
Anna P. Pilbrow New Zealand
Yi‐Ning Yang relative to Bang‐Dang Chen China Bang‐Dang Chen's profile →
Citations per field
00.5×2×3×3.9×
Bang‐Dang Chen · 1×
Citations per year

Countries citing papers authored by Yi‐Ning Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Ning Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 221 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 201792
3 201076
4 202076
5 202068
6 200966
7 201964
8 202263
9 200849
10 201547
11 201645
12 200943
13 201641
14 202041
15 201239
16 201438
17 201737
18 201136
19 201436
20 200933

About Yi‐Ning Yang

Yi‐Ning Yang is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Immunology, having authored 221 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (69 papers), Lipoproteins and Cardiovascular Health (25 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Cardiac Ischemia and Reperfusion (13 papers), Acute Myocardial Infarction Research (12 papers), Coronary Interventions and Diagnostics (12 papers), Atherosclerosis and Cardiovascular Diseases (11 papers) and Cardiac Valve Diseases and Treatments (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (709 citations), Genetics (458 citations), Nephrology (154 citations), Cancer Research (179 citations) and Endocrinology, Diabetes and Metabolism (201 citations). Yi‐Ning Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Bang‐Dang Chen, Xiao‐Mei Li, Xiang Xie, Fen Liu, Zhen-Yan Fu, Xiang Ma, Yi-Tong Ma, Yi‐Tong Ma, Fen Liu and Yitong Ma. Their work appears in journals such as Lipids in Health and Disease, Scientific Reports, PLoS ONE, BMC Cardiovascular Disorders and Oncotarget.

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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