Sha Shi
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 3
- Advanced biosensing and bioanalysis techniques 2
- Oncology 6
- Cancer Treatment and Pharmacology 2
- HER2/EGFR in Cancer Research 2
- Co-authors
- Kezuo Hou (8 shared papers)Yuee Teng (9 shared papers)Lu Xu (7 shared papers)Xiujuan Qu (7 shared papers)Xiaofang Che (7 shared papers)Yunpeng Liu (4 shared papers)Zhi Li (3 shared papers)Ti Wen (3 shared papers)
- Journals
- Aging (2 papers)Oncology Reports (2 papers)Journal of Hazardous Materials (2 papers)Journal of Cancer (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Sha Shi
20 papers receiving 277 citations
Peers
Comparison fields: 5 of 62
- Cancer Research 94
- Geriatrics and Gerontology 12
- Molecular Biology 190
- Oncology 56
- Immunology 29
Countries citing papers authored by Sha Shi
This map shows the geographic impact of Sha 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 Sha Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Shi more than expected).
Fields of papers citing papers by Sha Shi
This network shows the impact of papers produced by Sha 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 Sha Shi. The network helps show where Sha Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 38 | |
| 2 | 2020 | 34 | |
| 3 | 2020 | 30 | |
| 4 | 2020 | 24 | |
| 5 | 2018 | 22 | |
| 6 | 2020 | 20 | |
| 7 | 2021 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2024 | 13 | |
| 10 | 2010 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2018 | 10 | |
| 13 | 2014 | 9 | |
| 14 | Erlotinib in combination with bevacizumab and FOLFOX4 as second-line chemotherapy for patients with metastatic colorectal cancer. | 2017 | 7 |
| 15 | 2020 | 6 | |
| 16 | 2017 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2017 | 1 |
About Sha Shi
Sha Shi is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Environmental Chemistry, having authored 21 papers that have together received 279 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Estrogen and related hormone effects (4 papers), Per- and polyfluoroalkyl substances research (3 papers), Circular RNAs in diseases (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer Treatment and Pharmacology (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (94 citations), Geriatrics and Gerontology (12 citations), Molecular Biology (190 citations), Oncology (56 citations) and Immunology (29 citations). Sha Shi has collaborated with scholars based in China and United States. Frequent co-authors include Kezuo Hou, Yuee Teng, Lu Xu, Xiujuan Qu, Xiaofang Che, Yunpeng Liu, Zhi Li, Ti Wen, Jing Feng and Lu Zhou. Their work appears in journals such as Aging, Oncology Reports, Journal of Hazardous Materials, Journal of Cancer and Brain Research.
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.