Jiong Wu
- Infectious Diseases top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Neurology top 5%
- Oncology top 10%
- Critical Care and Intensive Care Medicine top 2%
- Topics
- Breast Cancer Treatment Studies (7 papers)HER2/EGFR in Cancer Research (6 papers)Advanced Breast Cancer Therapies (5 papers)
- Cited by
- Infectious DiseasesCritical Care and Intensive Care MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jiong Wu
19 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Infectious Diseases 897
- Radiology, Nuclear Medicine and Imaging 674
- Neurology 427
- Oncology 313
- Critical Care and Intensive Care Medicine 178
Countries citing papers authored by Jiong Wu
This map shows the geographic impact of Jiong Wu'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 Jiong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiong Wu more than expected).
Fields of papers citing papers by Jiong Wu
This network shows the impact of papers produced by Jiong Wu. 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 Jiong Wu. The network helps show where Jiong Wu may publish in the future.
Co-authorship network of co-authors of Jiong Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jiong Wu. A scholar is included among the top collaborators of Jiong Wu 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 Jiong Wu. Jiong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | Chest CT Findings in Patients With Coronavirus Disease 2019 and Its Relationship With Clinical Featuresbreakdown → | 425 |
| 15 | The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumoniabreakdown → | 849 |
| 16 | 13 | |
| 17 | 30 | |
| 18 | 61 | |
| 19 | [Current trends of breast reconstruction after mastectomy for breast cancer patients in China: a survey report]. | 12 |
| 20 | 15 |
About Jiong Wu
Jiong Wu is a scholar working on Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), HER2/EGFR in Cancer Research (6 papers) and Advanced Breast Cancer Therapies (5 papers). The work is most often cited by research in Infectious Diseases (897 citations), Critical Care and Intensive Care Medicine (178 citations) and Radiology, Nuclear Medicine and Imaging (674 citations). Jiong Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dajing Guo, Linli Chen, Fang Zheng, Chuanming Li, Kunhua Li, WU Fa-qi, Chuanming Li, Xiaojia Wu, Wenbing Zeng and Huizhe Huang. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Molecular Therapy.
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.