Taotao Dong
- Molecular Biology
- Oncology top 10%
- Cancer Research top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Topics
- Radiomics and Machine Learning in Medical Imaging (13 papers)AI in cancer detection (7 papers)Cervical Cancer and HPV Research (6 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Taotao Dong
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 616
- Oncology 295
- Cancer Research 284
- Radiology, Nuclear Medicine and Imaging 168
- Pulmonary and Respiratory Medicine 154
Countries citing papers authored by Taotao Dong
This map shows the geographic impact of Taotao Dong'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 Taotao Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taotao Dong more than expected).
Fields of papers citing papers by Taotao Dong
This network shows the impact of papers produced by Taotao Dong. 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 Taotao Dong. The network helps show where Taotao Dong may publish in the future.
Co-authorship network of co-authors of Taotao Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Taotao Dong. A scholar is included among the top collaborators of Taotao Dong 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 Taotao Dong. Taotao Dong 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 17 | |
| 15 | 31 | |
| 16 | 13 | |
| 17 | 32 | |
| 18 | 86 | |
| 19 | 79 | |
| 20 | 105 |
About Taotao Dong
Taotao Dong is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Oncology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), AI in cancer detection (7 papers) and Cervical Cancer and HPV Research (6 papers). The work is most often cited by research in Cancer Research (284 citations), Oncology (295 citations) and Molecular Biology (616 citations). Taotao Dong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bo Feng, Binbin Tan, Xia Zou, Minhua Zheng, Minhua Zheng, Linlin Wang, Tianlu Chen, Guoxiang Xie, Yu Cheng and Aihua Zhao. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology and Langmuir.
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.