Bin Shi
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Cancer Treatment and Pharmacology
- Cancer Cells and Metastasis
- Chemokine receptors and signaling
Papers in
- Oncology 4
- Cancer-related Molecular Pathways 2
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- Cervical Cancer and HPV Research 2
- Co-authors
- Birgit M. Kräling (1 shared paper)M. OʼReilly (1 shared paper)Catherine Butterfield (1 shared paper)J Folkman (1 shared paper)Blair Marshall (1 shared paper)Huijian Wu (2 shared papers)Yongfeng Shang (2 shared papers)Xiaohua Wu (1 shared paper)
- Journals
- Brazilian Journal of Medical and Biological Research (1 paper)EXPERIMENTAL ANIMALS (1 paper)Gynecologic Oncology (1 paper)Clinical Therapeutics (1 paper)Journal of Laparoendoscopic & Advanced Surgical Techniques (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Shi
15 papers receiving 2.0k citations
Bin Shi's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 508
- Oncology 713
- Molecular Biology 1.0k
- Modeling and Simulation 62
- Endocrine and Autonomic Systems 76
Countries citing papers authored by Bin Shi
This map shows the geographic impact of Bin Shi'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 Bin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Shi more than expected).
Fields of papers citing papers by Bin Shi
This network shows the impact of papers produced by Bin Shi. 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 Bin Shi. The network helps show where Bin Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Shi, 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 | Antiangiogenic scheduling of chemotherapy improves efficacy against experimental drug-resistant cancer. Hit paper breakdown → | 2000 | 1277 |
| 2 | 2007 | 278 | |
| 3 | 2004 | 160 | |
| 4 | 2006 | 136 | |
| 5 | 2000 | 87 | |
| 6 | 2020 | 31 | |
| 7 | 2020 | 29 | |
| 8 | Combination therapy with the farnesyl protein transferase inhibitor SCH66336 and SCH58500 (p53 adenovirus) in preclinical cancer models. | 1999 | 26 |
| 9 | 2021 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2014 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 0 |
About Bin Shi
Bin Shi is a scholar working on Oncology, Epidemiology, Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (2 papers), Cervical Cancer and HPV Research (2 papers), Cancer-related Molecular Pathways (2 papers), Reproductive System and Pregnancy (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Autism Spectrum Disorder Research (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Cancer Research (508 citations), Oncology (713 citations), Molecular Biology (1.0k citations), Modeling and Simulation (62 citations) and Endocrine and Autonomic Systems (76 citations). Bin Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Birgit M. Kräling, M. OʼReilly, Catherine Butterfield, J Folkman, Blair Marshall, Huijian Wu, Yongfeng Shang, Xiaohua Wu, Wenxin Wu and Yan Wang. Their work appears in journals such as Brazilian Journal of Medical and Biological Research, EXPERIMENTAL ANIMALS, Gynecologic Oncology, Clinical Therapeutics and Journal of Laparoendoscopic & Advanced Surgical Techniques.
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.