Da Yin
Impact in
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- Growth Hormone and Insulin-like Growth Factors
Papers in
- Surgery 13
- Coronary Interventions and Diagnostics 9
- Peripheral Artery Disease Management 4
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- Cerebrovascular and Carotid Artery Diseases 4
- Co-authors
- Kai-Wei Chang (3 shared papers)Johann S. de Bono (4 shared papers)Antonio Gualberto (5 shared papers)David Olmos (2 shared papers)Yuning Mao (1 shared paper)Jiawei Han (1 shared paper)Yizhu Jiao (1 shared paper)Yang Liu (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)The Science of The Total Environment (2 papers)Cardiovascular Diabetology (1 paper)Acta Pharmaceutica Sinica B (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Da Yin
35 papers receiving 448 citations
Peers
Comparison fields: 5 of 95
- Health Informatics 7
- Endocrinology, Diabetes and Metabolism 84
- Cancer Research 53
- Ecological Modeling 14
- General Social Sciences 9
Countries citing papers authored by Da Yin
This map shows the geographic impact of Da Yin'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 Da Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Yin more than expected).
Fields of papers citing papers by Da Yin
This network shows the impact of papers produced by Da Yin. 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 Da Yin. The network helps show where Da Yin may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Yin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 69 | |
| 2 | 2022 | 60 | |
| 3 | 2015 | 32 | |
| 4 | 2008 | 31 | |
| 5 | 2022 | 26 | |
| 6 | 2017 | 24 | |
| 7 | 2022 | 21 | |
| 8 | 2024 | 20 | |
| 9 | 2021 | 17 | |
| 10 | 2017 | 16 | |
| 11 | 2019 | 15 | |
| 12 | 2007 | 15 | |
| 13 | 2023 | 11 | |
| 14 | 2007 | 11 | |
| 15 | 2015 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2008 | 7 |
About Da Yin
Da Yin is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 460 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (9 papers), Cardiac Imaging and Diagnostics (7 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Topic Modeling (4 papers), Peripheral Artery Disease Management (4 papers), Cancer Treatment and Pharmacology (3 papers), Advanced X-ray and CT Imaging (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Health Informatics (7 citations), Endocrinology, Diabetes and Metabolism (84 citations), Cancer Research (53 citations), Ecological Modeling (14 citations) and General Social Sciences (9 citations). Da Yin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kai-Wei Chang, Johann S. de Bono, Antonio Gualberto, David Olmos, Yuning Mao, Jiawei Han, Yizhu Jiao, Yang Liu, Pengfei Liu and Ming Zhong. Their work appears in journals such as Journal of Clinical Oncology, The Science of The Total Environment, Cardiovascular Diabetology, Acta Pharmaceutica Sinica B and British Journal of Cancer.
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.