S. Li
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Biotechnology top 10%
- Cancer Research and Treatments
Papers in
-
- Advanced Radiotherapy Techniques 5
-
- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 2
- Co-authors
- Theodore L. DeWeese (3 shared papers)H. Van der Poel (1 shared paper)Thomas L. Haulk (1 shared paper)Roger Drew (1 shared paper)Y. Chen (1 shared paper)Marti Goemann (1 shared paper)Dechao Yu (1 shared paper)Robert DeJong (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)Applied Physics A (1 paper)Applied Physics Letters (1 paper)Technology in Cancer Research & Treatment (1 paper)PubMed (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
S. Li
9 papers receiving 335 citations
Peers
Comparison fields: 5 of 36
- Genetics 263
- Biotechnology 56
- Oncology 143
- Molecular Biology 172
- Radiation 17
Countries citing papers authored by S. Li
This map shows the geographic impact of S. 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 S. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Li more than expected).
Fields of papers citing papers by S. Li
This network shows the impact of papers produced by S. 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 S. Li. The network helps show where S. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A phase I trial of CV706, a replication-competent, PSA selective oncolytic adenovirus, for the treatment of locally recurrent prostate cancer following radiation therapy. | 2001 | 300 |
| 2 | 1991 | 14 | |
| 3 | 1991 | 10 | |
| 4 | 2012 | 10 | |
| 5 | 2002 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2012 | 1 | |
| 8 | 2006 | 1 | |
| 9 | 2005 | 1 | |
| 10 | 2024 | 0 |
About S. Li
S. Li is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Surgery, having authored 10 papers that have together received 341 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Semiconductor Quantum Structures and Devices (2 papers), Medical Imaging Techniques and Applications (2 papers), Quantum optics and atomic interactions (1 paper), Xenotransplantation and immune response (1 paper), Medical Image Segmentation Techniques (1 paper) and Soft Robotics and Applications (1 paper). The work is most often cited by research in Genetics (263 citations), Biotechnology (56 citations), Oncology (143 citations), Molecular Biology (172 citations) and Radiation (17 citations). S. Li has collaborated with scholars based in United States and China. Frequent co-authors include Theodore L. DeWeese, H. Van der Poel, Thomas L. Haulk, Roger Drew, Y. Chen, Marti Goemann, Dechao Yu, Robert DeJong, Bahar Mikhak and Daniel Henderson. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Applied Physics A, Applied Physics Letters, Technology in Cancer Research & Treatment and PubMed.
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.