Xinchun Li
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research top 5%
- Topics
- MRI in cancer diagnosis (15 papers)Advanced Neuroimaging Techniques and Applications (12 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Xinchun Li
102 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 789
- Biomedical Engineering 580
- Oncology 479
- Radiology, Nuclear Medicine and Imaging 364
- Cancer Research 344
Countries citing papers authored by Xinchun Li
This map shows the geographic impact of Xinchun Li'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 Xinchun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinchun Li more than expected).
Fields of papers citing papers by Xinchun Li
This network shows the impact of papers produced by Xinchun Li. 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 Xinchun Li. The network helps show where Xinchun Li may publish in the future.
Co-authorship network of co-authors of Xinchun Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xinchun Li. A scholar is included among the top collaborators of Xinchun Li 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 Xinchun Li. Xinchun Li 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 | 1 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 28 | |
| 11 | 41 | |
| 12 | Current Progress in CAR-T Cell Therapy for Solid Tumors | 2 |
| 13 | Current Progress in CAR-T Cell Therapy for Solid Tumorsbreakdown → | 358 |
| 14 | 5 | |
| 15 | 152 | |
| 16 | 10 | |
| 17 | 9 | |
| 18 | 15 | |
| 19 | The application and followed-up result with total ankle arthroplasty and autografing for ankle disabled persons | 1 |
| 20 | Total hip replacement with Ribbed hydroxyapatite-coated femoral stem and cup component: a 24 cases report. | 2 |
About Xinchun Li
Xinchun Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Bioengineering and Biomedical Engineering, having authored 113 papers that have together received 2.3k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (15 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). The work is most often cited by research in Cancer Research (344 citations), Oncology (479 citations) and Electrochemistry (101 citations). Xinchun Li has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Zhenlong Ye, Qijun Qian, Zhong Li, Changzheng Zhang, Shuo Ma, Liang Cheng, Xinyue Wang, Li Zhong, Zuanguang Chen and Tiebang Kang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.
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.