Xiaofang Tang
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Internal Medicine top 5%
- Topics
- Acute Myocardial Infarction Research (52 papers)Antiplatelet Therapy and Cardiovascular Diseases (48 papers)Coronary Interventions and Diagnostics (40 papers)
- Cited by
- Internal MedicineCardiology and Cardiovascular MedicineEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaofang Tang
107 papers receiving 900 citations
Peers
Comparison fields: 5 of 105
- Cardiology and Cardiovascular Medicine 577
- Surgery 341
- Endocrinology, Diabetes and Metabolism 179
- Epidemiology 117
- Internal Medicine 97
Countries citing papers authored by Xiaofang Tang
This map shows the geographic impact of Xiaofang Tang'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 Xiaofang Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofang Tang more than expected).
Fields of papers citing papers by Xiaofang Tang
This network shows the impact of papers produced by Xiaofang Tang. 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 Xiaofang Tang. The network helps show where Xiaofang Tang may publish in the future.
Co-authorship network of co-authors of Xiaofang Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofang Tang. A scholar is included among the top collaborators of Xiaofang Tang 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 Xiaofang Tang. Xiaofang Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 22 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 10 | |
| 19 | 23 | |
| 20 | A New Robust Fundamental Matrix Estimation Based on Genetic Algorithm | 2 |
About Xiaofang Tang
Xiaofang Tang is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery, having authored 115 papers that have together received 916 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (52 papers), Antiplatelet Therapy and Cardiovascular Diseases (48 papers) and Coronary Interventions and Diagnostics (40 papers). The work is most often cited by research in Internal Medicine (97 citations), Cardiology and Cardiovascular Medicine (577 citations) and Endocrinology, Diabetes and Metabolism (179 citations). Xiaofang Tang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinqing Yuan, Bo Xu, Yuejin Yang, Jue Chen, Xueyan Zhao, Shubin Qiao, Ying Song, Pei Zhu, Jingjing Xu and Zhan Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.
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.