Sai Ge
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Hepatology top 10%
Papers in
-
- Gastric Cancer Management and Outcomes 7
- Lung Cancer Treatments and Mutations 3
-
- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
- Cancer-related gene regulation 3
- Co-authors
- Lin Shen (6 shared papers)Jifang Gong (4 shared papers)Jing Gao (10 shared papers)Cheng Zhang (4 shared papers)Mengqi Zhang (2 shared papers)Wenwen Huang (4 shared papers)Jing Gao (1 shared paper)Xiaoting Lin (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Oncotarget (2 papers)Cell Death Discovery (1 paper)Aging (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Sai Ge
20 papers receiving 703 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 286
- Hepatology 63
- Oncology 215
- Molecular Biology 405
- Gastroenterology 31
Countries citing papers authored by Sai Ge
This map shows the geographic impact of Sai Ge'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 Sai Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sai Ge more than expected).
Fields of papers citing papers by Sai Ge
This network shows the impact of papers produced by Sai Ge. 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 Sai Ge. The network helps show where Sai Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Sai Ge, 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 | 218 | |
| 2 | 2014 | 83 | |
| 3 | 2014 | 72 | |
| 4 | 2019 | 62 | |
| 5 | 2015 | 52 | |
| 6 | Genomic alterations in advanced gastric cancer endoscopic biopsy samples using targeted next-generation sequencing. | 2017 | 39 |
| 7 | 2013 | 38 | |
| 8 | 2023 | 29 | |
| 9 | 2016 | 24 | |
| 10 | 2015 | 18 | |
| 11 | 2021 | 15 | |
| 12 | 2022 | 12 | |
| 13 | 2014 | 11 | |
| 14 | 2016 | 11 | |
| 15 | 2022 | 7 | |
| 16 | Preclinical model-based evaluation of Imatinib resistance induced by KIT mutations and its overcoming strategies in gastrointestinal stromal tumor (GIST). | 2021 | 5 |
| 17 | 2022 | 5 | |
| 18 | Using genotype to assist clinical surveillance: a retrospective study of Chinese familial adenomatous polyposis patients. | 2022 | 4 |
| 19 | 2020 | 2 | |
| 20 | 2018 | 1 |
About Sai Ge
Sai Ge is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Pathology and Forensic Medicine and Surgery, having authored 21 papers that have together received 708 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (7 papers), Colorectal Cancer Treatments and Studies (3 papers), Genetic factors in colorectal cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Lung Cancer Treatments and Mutations (3 papers), RNA modifications and cancer (3 papers), Cancer-related gene regulation (3 papers) and Soft tissue tumor case studies (2 papers). The work is most often cited by research in Cancer Research (286 citations), Hepatology (63 citations), Oncology (215 citations), Molecular Biology (405 citations) and Gastroenterology (31 citations). Sai Ge has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Lin Shen, Jifang Gong, Jing Gao, Cheng Zhang, Mengqi Zhang, Wenwen Huang, Jing Gao, Xiaoting Lin, Lin Shen and Yilin Li. Their work appears in journals such as Journal of Clinical Oncology, Oncotarget, Cell Death Discovery, Aging and Molecular & Cellular Proteomics.
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.