Haibo Jia
- Surgery top 2%
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Topics
- Coronary Interventions and Diagnostics (82 papers)Cardiac Imaging and Diagnostics (46 papers)Cerebrovascular and Carotid Artery Diseases (26 papers)
- Cited by
- Cancer ResearchCardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Haibo Jia
154 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Surgery 1.5k
- Molecular Biology 1.5k
- Cardiology and Cardiovascular Medicine 967
- Radiology, Nuclear Medicine and Imaging 961
- Pulmonary and Respiratory Medicine 714
Countries citing papers authored by Haibo Jia
This map shows the geographic impact of Haibo Jia'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 Haibo Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibo Jia more than expected).
Fields of papers citing papers by Haibo Jia
This network shows the impact of papers produced by Haibo Jia. 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 Haibo Jia. The network helps show where Haibo Jia may publish in the future.
Co-authorship network of co-authors of Haibo Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Jia. A scholar is included among the top collaborators of Haibo Jia 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 Haibo Jia. Haibo Jia 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 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | Effect of Colchicine on Coronary Plaque Stability in Acute Coronary Syndrome as Assessed by Optical Coherence Tomography: The COLOCT Randomized Clinical Trialbreakdown → | 55 |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 57 | |
| 17 | 189 | |
| 18 | 38 | |
| 19 | Abstract 17934: Bevacizumab for Plaque Stabilization: Evaluation of its Effect on Vasa Vasorum, Lipid Pool, and Atheroma Volume by Multimodality Imaging Techniques in an Atherosclerotic Rabbit Model | 3 |
| 20 | 25 |
About Haibo Jia
Haibo Jia is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Cardiology and Cardiovascular Medicine, having authored 171 papers that have together received 4.0k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (82 papers), Cardiac Imaging and Diagnostics (46 papers) and Cerebrovascular and Carotid Artery Diseases (26 papers). The work is most often cited by research in Cancer Research (651 citations), Cardiology and Cardiovascular Medicine (967 citations) and Radiology, Nuclear Medicine and Imaging (961 citations). Haibo Jia has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bo Yu, Sining Hu, Hang Lee, Shaosong Zhang, Jingbo Hou, Ik‐Kyung Jang, Rocco Vergallo, Jinwei Tian, An‐Yuan Guo and Ik–Kyung Jang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.
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.