Sha She
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Cancer, Lipids, and Metabolism 5
- Cancer, Hypoxia, and Metabolism 3
- Oncology 5
- Clusterin in disease pathology 2
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Min Hee Yang (12 shared papers)Yixuan Yang (12 shared papers)Hong Ren (10 shared papers)Huaidong Hu (7 shared papers)Peng Hu (4 shared papers)Shiying Li (5 shared papers)Jinzhi Shi (4 shared papers)Dazhi Zhang (4 shared papers)
- Journals
- International Journal of Oncology (6 papers)Cellular Physiology and Biochemistry (2 papers)Oncotarget (2 papers)Digestive and Liver Disease (1 paper)Cancer Medicine (1 paper)
- Partner nations
- China
In The Last Decade
Sha She
22 papers receiving 298 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 77
- Hepatology 35
- Oncology 74
- Molecular Biology 125
- Cell Biology 26
Countries citing papers authored by Sha She
This map shows the geographic impact of Sha She'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 She with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha She more than expected).
Fields of papers citing papers by Sha She
This network shows the impact of papers produced by Sha She. 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 She. The network helps show where Sha She may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha She, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 47 | |
| 2 | 2017 | 30 | |
| 3 | 2017 | 29 | |
| 4 | 2015 | 25 | |
| 5 | 2015 | 21 | |
| 6 | 2017 | 18 | |
| 7 | 2019 | 17 | |
| 8 | 2024 | 16 | |
| 9 | 2022 | 14 | |
| 10 | 2020 | 12 | |
| 11 | 2015 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2016 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2021 | 3 |
About Sha She
Sha She is a scholar working on Cancer Research, Oncology, Immunology, Pharmacology and Molecular Biology, having authored 22 papers that have together received 303 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Clusterin in disease pathology (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cancer Research (77 citations), Hepatology (35 citations), Oncology (74 citations), Molecular Biology (125 citations) and Cell Biology (26 citations). Sha She has collaborated with scholars based in China. Frequent co-authors include Min Hee Yang, Yixuan Yang, Hong Ren, Huaidong Hu, Peng Hu, Shiying Li, Jinzhi Shi, Dazhi Zhang, Kai Dai and Juan Huang. Their work appears in journals such as International Journal of Oncology, Cellular Physiology and Biochemistry, Oncotarget, Digestive and Liver Disease and Cancer Medicine.
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.