Na Yang

70 total papers · 461 total citations
36 papers, 246 citations indexed

About

Na Yang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Na Yang has authored 36 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Na Yang's work include Acute Myocardial Infarction Research (15 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Antiplatelet Therapy and Cardiovascular Diseases (9 papers). Na Yang is often cited by papers focused on Acute Myocardial Infarction Research (15 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Antiplatelet Therapy and Cardiovascular Diseases (9 papers). Na Yang collaborates with scholars based in China, United States and Japan. Na Yang's co-authors include Dong Zhao, Feng Tian, Wei Ren Chen, Yongchen Hao, Jing Wang, Jing Liu, Yun Dai Chen, Changsheng Ma, Yong Huo and Gregg C. Fonarow and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Heart Journal and Mayo Clinic Proceedings.

In The Last Decade

Na Yang

31 papers receiving 243 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Na Yang 146 92 48 39 32 36 246
Gyu Chul Oh 176 1.2× 33 0.4× 50 1.0× 34 0.9× 23 0.7× 34 303
Pang‐Yen Liu 152 1.0× 71 0.8× 35 0.7× 54 1.4× 20 0.6× 41 330
Rosa Maria Rahmi Garcia 135 0.9× 64 0.7× 85 1.8× 25 0.6× 48 1.5× 28 267
E. Andrikou 134 0.9× 97 1.1× 45 0.9× 32 0.8× 19 0.6× 24 274
Francesco Maranta 105 0.7× 86 0.9× 39 0.8× 48 1.2× 25 0.8× 25 224
Payman Shahabi 63 0.4× 44 0.5× 55 1.1× 40 1.0× 35 1.1× 26 303
Tadaaki Arimura 242 1.7× 46 0.5× 63 1.3× 40 1.0× 14 0.4× 36 323
M I Mendonça 143 1.0× 50 0.5× 80 1.7× 33 0.8× 12 0.4× 48 326
Ali Khavandi 178 1.2× 51 0.6× 65 1.4× 61 1.6× 54 1.7× 20 314
Steven Lister 149 1.0× 66 0.7× 24 0.5× 28 0.7× 21 0.7× 24 316

Countries citing papers authored by Na Yang

Since Specialization
Citations

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

Fields of papers citing papers by Na Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Na Yang. A scholar is included among the top collaborators of Na Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Na Yang. Na Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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