Rong Tian
- Radiology, Nuclear Medicine and Imaging top 2%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Topics
- Lymphoma Diagnosis and Treatment (22 papers)Sarcoma Diagnosis and Treatment (20 papers)Radiomics and Machine Learning in Medical Imaging (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEHepatology
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Rong Tian
152 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 142
- Radiology, Nuclear Medicine and Imaging 585
- Molecular Biology 548
- Pulmonary and Respiratory Medicine 418
- Oncology 314
- Pathology and Forensic Medicine 298
Countries citing papers authored by Rong Tian
This map shows the geographic impact of Rong Tian'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 Rong Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rong Tian more than expected).
Fields of papers citing papers by Rong Tian
This network shows the impact of papers produced by Rong Tian. 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 Rong Tian. The network helps show where Rong Tian may publish in the future.
Co-authorship network of co-authors of Rong Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Rong Tian. A scholar is included among the top collaborators of Rong Tian 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 Rong Tian. Rong Tian 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 | 4 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | 0 | |
| 16 | 20 | |
| 17 | Bombesin-functionalized superparamagnetic iron oxide nanoparticles for dual-modality MR/NIRFI in mouse models of breast cancer | 1 |
| 18 | 4 | |
| 19 | Radioimmunotherapy of human colon cancer xenografts by using {sup 131}I labeled-CAb{sub 1} F(ab'){sub 2} | 1 |
| 20 | Desision-making for usage of diversion channel as main navigation passage in 2nd construction period of TGP and its effects | 0 |
About Rong Tian
Rong Tian is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 170 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (22 papers), Sarcoma Diagnosis and Treatment (20 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (585 citations), Pathology and Forensic Medicine (298 citations) and Cancer Research (208 citations). Rong Tian has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Minggang Su, Anren Kuang, Xuelei Ma, Yi Zhou, Hongxi Wang, Guohua Shen, Fanglan Li, Zhi‐Nan Chen, Lin Li and Chong Jiang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.
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.