Nanxi Zha
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Oncology
- General Health Professions
- Co-authors
- Michael N. PatlasMostafa AlabousiRichard DuszakGrace PárragaVivianne FreitasDavid G. McCormackDante P. I. CapaldiAbdullah Alabousi
- Topics
- Global Cancer Incidence and Screening (5 papers)Radiology practices and education (4 papers)Atomic and Subatomic Physics Research (3 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Nanxi Zha
17 papers receiving 295 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 124
- Pulmonary and Respiratory Medicine 106
- Artificial Intelligence 68
- Oncology 66
- General Health Professions 51
Countries citing papers authored by Nanxi Zha
This map shows the geographic impact of Nanxi Zha'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 Nanxi Zha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanxi Zha more than expected).
Fields of papers citing papers by Nanxi Zha
This network shows the impact of papers produced by Nanxi Zha. 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 Nanxi Zha. The network helps show where Nanxi Zha may publish in the future.
Co-authorship network of co-authors of Nanxi Zha
This figure shows the co-authorship network connecting the top 25 collaborators of Nanxi Zha. A scholar is included among the top collaborators of Nanxi Zha 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 Nanxi Zha. Nanxi Zha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 43 | |
| 6 | 7 | |
| 7 | 7 | |
| 8 | 48 | |
| 9 | 22 | |
| 10 | 17 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 42 | |
| 15 | 15 | |
| 16 | 44 | |
| 17 | Pulmonary imaging Biomarkers of gas Trapping and emphysema | 2 |
| 18 | 12 |
About Nanxi Zha
Nanxi Zha is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Gender Studies, having authored 18 papers that have together received 298 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (5 papers), Radiology practices and education (4 papers) and Atomic and Subatomic Physics Research (3 papers). The work is most often cited by research in Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (124 citations) and Pulmonary and Respiratory Medicine (106 citations). Nanxi Zha has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Michael N. Patlas, Mostafa Alabousi, Richard Duszak, Grace Párraga, Vivianne Freitas, David G. McCormack, Dante P. I. Capaldi, Abdullah Alabousi, Damien Pike and Behnam Sadeghirad. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Radiology and American Journal of Roentgenology.
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.