Bin Shi
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 2
- Oncology top 5%
- Cancer-related Molecular Pathways 3
- Cytokine Signaling Pathways and Interactions 2
- Molecular Biology top 10%
- Modeling and Simulation top 5%
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment 2
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- Gynecological conditions and treatments 3
- Uterine Myomas and Treatments 2
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- Cervical Cancer and HPV Research 2
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- Reproductive System and Pregnancy 2
- Co-authors
- Blair MarshallJ FolkmanBirgit M. KrälingCatherine ButterfieldM. OʼReillyYongfeng ShangHuijian WuWenxin Wu
- Journals
- Scientific Reports (1 paper)Journal of Laparoendoscopic & Advanced Surgical Techniques (1 paper)EXPERIMENTAL ANIMALS (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Shi
14 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 606
- Oncology 852
- Molecular Biology 1.2k
- Modeling and Simulation 63
- Reproductive Medicine 107
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-authorship network
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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 11 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 0 | |
| 8 | 2020 | 27 | |
| 9 | 2016 | 8 | |
| 10 | 2014 | 9 | |
| 11 | 2007 | 275 | |
| 12 | 2006 | 135 | |
| 13 | 2004 | 160 | |
| 14 | 2000 | 87 | |
| 15 | Antiangiogenic scheduling of chemotherapy improves efficacy against experimental drug-resistant cancer.breakdown → | 2000 | 1276 |
| 16 | Combination therapy with the farnesyl protein transferase inhibitor SCH66336 and SCH58500 (p53 adenovirus) in preclinical cancer models. | 1999 | 26 |
About Bin Shi
Bin Shi is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Oncology, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include Gynecological conditions and treatments (3 papers), Cancer-related Molecular Pathways (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cervical Cancer and HPV Research (2 papers), Reproductive System and Pregnancy (2 papers), Uterine Myomas and Treatments (2 papers), Endometriosis Research and Treatment (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Cancer Research (606 citations), Oncology (852 citations) and Molecular Biology (1.2k citations). Bin Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Blair Marshall, J Folkman, Birgit M. Kräling, Catherine Butterfield, M. OʼReilly, Yongfeng Shang, Huijian Wu, Wenxin Wu, Xiaohua Wu and Mei Hong. Their work appears in journals such as Scientific Reports, Journal of Laparoendoscopic & Advanced Surgical Techniques, EXPERIMENTAL ANIMALS, Gynecologic Oncology and Cancer Chemotherapy and Pharmacology.
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.