Shutian Mo
Impact in
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- Hepatocellular Carcinoma Treatment and Prognosis
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- Cancer, Lipids, and Metabolism
Papers in
- Hepatology 10
- Hepatocellular Carcinoma Treatment and Prognosis 10
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- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 3
- Co-authors
- Chuangye Han (32 shared papers)Tao Peng (19 shared papers)Guangzhi Zhu (15 shared papers)Xiwen Liao (12 shared papers)Hao Su (7 shared papers)Xinping Ye (11 shared papers)Shuqi Zhao (5 shared papers)Wenlong Cao (2 shared papers)
In The Last Decade
Shutian Mo
34 papers receiving 313 citations
Peers
Comparison fields: 5 of 65
- Hepatology 47
- Cancer Research 45
- Nephrology 16
- Pulmonary and Respiratory Medicine 52
- Oncology 39
Countries citing papers authored by Shutian Mo
This map shows the geographic impact of Shutian Mo'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 Shutian Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shutian Mo more than expected).
Fields of papers citing papers by Shutian Mo
This network shows the impact of papers produced by Shutian Mo. 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 Shutian Mo. The network helps show where Shutian Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Shutian Mo, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 52 | |
| 2 | 2021 | 31 | |
| 3 | 2022 | 28 | |
| 4 | 2022 | 26 | |
| 5 | 2020 | 21 | |
| 6 | 2022 | 16 | |
| 7 | 2024 | 14 | |
| 8 | 2024 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 9 | |
| 11 | Oncogene UBE2I enhances cellular invasion, migration and proliferation abilities via autophagy-related pathway resulting in poor prognosis in hepatocellular carcinoma. | 2020 | 9 |
| 12 | 2022 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2025 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2023 | 4 |
About Shutian Mo
Shutian Mo is a scholar working on Hepatology, Molecular Biology, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 317 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Ferroptosis and cancer prognosis (4 papers), RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (3 papers), Autophagy in Disease and Therapy (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Hepatology (47 citations), Cancer Research (45 citations), Nephrology (16 citations), Pulmonary and Respiratory Medicine (52 citations) and Oncology (39 citations). Shutian Mo has collaborated with scholars based in China, Malaysia and Hong Kong. Frequent co-authors include Chuangye Han, Tao Peng, Guangzhi Zhu, Xiwen Liao, Hao Su, Xinping Ye, Shuqi Zhao, Wenlong Cao, Chengkun Yang and Xin Gang Zhou. Their work appears in journals such as Annals of Translational Medicine, Scientific Reports, BMC Gastroenterology, Frontiers in Bioengineering and Biotechnology and APOPTOSIS.
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.