Da Yin
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
- Surgery 9
- Coronary Interventions and Diagnostics 6
- Peripheral Artery Disease Management 4
- Co-authors
- Kai-Wei Chang (3 shared papers)Antonio Gualberto (5 shared papers)Johann S. de Bono (4 shared papers)Heng Ji (1 shared paper)Weili Pan (7 shared papers)Yizhu Jiao (1 shared paper)Yuning Mao (1 shared paper)Pengfei Liu (1 shared paper)
- Journals
- Journal of Clinical Oncology (5 papers)BMC Cardiovascular Disorders (2 papers)The Science of The Total Environment (2 papers)Coronary Artery Disease (1 paper)Acta Pharmaceutica Sinica B (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Da Yin
37 papers receiving 468 citations
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 76
- Health Informatics 6
- Cancer Research 41
- Ecological Modeling 13
- 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 69 | |
| 2 | 2022 | 64 | |
| 3 | 2015 | 32 | |
| 4 | 2008 | 31 | |
| 5 | 2022 | 30 | |
| 6 | 2017 | 25 | |
| 7 | 2024 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2021 | 17 | |
| 10 | 2017 | 17 | |
| 11 | 2019 | 17 | |
| 12 | 2007 | 15 | |
| 13 | 2007 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2024 | 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, Cardiology and Cardiovascular Medicine and Oncology, having authored 42 papers that have together received 480 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (6 papers), Cardiac Imaging and Diagnostics (5 papers), Topic Modeling (4 papers), Peripheral Artery Disease Management (4 papers), Natural Language Processing Techniques (3 papers), Cancer Treatment and Pharmacology (3 papers), Colorectal Cancer Treatments and Studies (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (76 citations), Health Informatics (6 citations), Cancer Research (41 citations), Ecological Modeling (13 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, Antonio Gualberto, Johann S. de Bono, Heng Ji, Weili Pan, Yizhu Jiao, Yuning Mao, Pengfei Liu, Chenguang Zhu and Jiawei Han. Their work appears in journals such as Journal of Clinical Oncology, BMC Cardiovascular Disorders, The Science of The Total Environment, Coronary Artery Disease and Acta Pharmaceutica Sinica B.
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.