Dejia Huang
- Cardiology and Cardiovascular Medicine top 2%
- Surgery
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Topics
- Cardiac Arrhythmias and Treatments (13 papers)Antiplatelet Therapy and Cardiovascular Diseases (12 papers)Atrial Fibrillation Management and Outcomes (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
- Partner nations
- ChinaSouth KoreaTaiwan
In The Last Decade
Dejia Huang
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Cardiology and Cardiovascular Medicine 850
- Surgery 263
- Epidemiology 171
- Endocrinology, Diabetes and Metabolism 161
- Radiology, Nuclear Medicine and Imaging 138
Countries citing papers authored by Dejia Huang
This map shows the geographic impact of Dejia Huang'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 Dejia Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejia Huang more than expected).
Fields of papers citing papers by Dejia Huang
This network shows the impact of papers produced by Dejia Huang. 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 Dejia Huang. The network helps show where Dejia Huang may publish in the future.
Co-authorship network of co-authors of Dejia Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Dejia Huang. A scholar is included among the top collaborators of Dejia Huang 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 Dejia Huang. Dejia Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 75 | |
| 5 | 10 | |
| 6 | 20 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 66 | |
| 12 | 4 | |
| 13 | 19 | |
| 14 | 4 | |
| 15 | 32 | |
| 16 | 102 | |
| 17 | Postconditioning:from Bench to Bedside | 0 |
| 18 | 16 | |
| 19 | [Relation between coronary artery disease and polymorphism of angiotensin converting enzyme gene]. | 3 |
| 20 | The Relationship between the Polymorphism of the ACE Gene and Essential Hypertension | 1 |
About Dejia Huang
Dejia Huang is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (13 papers), Antiplatelet Therapy and Cardiovascular Diseases (12 papers) and Atrial Fibrillation Management and Outcomes (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (850 citations), Internal Medicine (59 citations) and Family Practice (22 citations). Dejia Huang has collaborated with scholars based in China, South Korea and Taiwan. Frequent co-authors include Yong Peng, Chen Mao, Bao‐Tao Huang, Hua Chai, Wei Liu, Dingxiu He, Yong He, Jiafu Wei, Fang‐Yang Huang and Dan Xiao. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.
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.