Sai Ge

2.2k citations
21 papers · 739 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer Cells and Metastasis

Papers in

Sai Ge

20 papers receiving 731 citations

Peers

Sai Ge
Comparison fields: 5 of 69
  • Cancer Research 223
  • Oncology 178
  • Hepatology 49
  • Molecular Biology 365
  • Gastroenterology 23
Replace Liangcai Wu with:
Liangcai Wu China
Ruixuan Geng China
Long Bai China
F. De Vita Italy
Guanghai Dai China
Yian Du China
Johannes Fritzmann Germany
Alessio Fabozzi Italy
Eleonora Lai Italy
Sai Ge relative to Liangcai Wu China Liangcai Wu's profile →
Citations per field
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Liangcai Wu · 1×
Citations per year

Countries citing papers authored by Sai Ge

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sai Ge Line = papers co-authored together Sai Ge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019220
2 201486
3 201474
4 201963
5 201551
6 201344
7
Genomic alterations in advanced gastric cancer endoscopic biopsy samples using targeted next-generation sequencing.
201741
8 202337
9 201626
10 201518
11 202116
12 202213
13 201413
14 201612
15 20228
16 20225
17
Preclinical model-based evaluation of Imatinib resistance induced by KIT mutations and its overcoming strategies in gastrointestinal stromal tumor (GIST).
20215
18
Using genotype to assist clinical surveillance: a retrospective study of Chinese familial adenomatous polyposis patients.
20224
19 20202
20 20181

About Sai Ge

Sai Ge is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine and Rheumatology, having authored 21 papers that have together received 739 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), Gastric Cancer Management and Outcomes (3 papers), Genetic factors in colorectal cancer (3 papers), Ferroptosis and cancer prognosis (2 papers), Soft tissue tumor case studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Cancer Research (223 citations), Oncology (178 citations), Hepatology (49 citations), Molecular Biology (365 citations) and Gastroenterology (23 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, Xiaoting Lin, Wenwen Huang, Jing Gao, Mengqi Zhang, Lin Shen and Yilin Li. Their work appears in journals such as Journal of Clinical Oncology, Oncotarget, Cell Death Discovery, Biomedicines and Cochrane Database of Systematic Reviews.

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.

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