Yan Ge

551 citations
4 papers · 92 · h-index 3

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • PI3K/AKT/mTOR signaling in cancer
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Protein Kinase Regulation and GTPase Signaling
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation

Papers in

    • Protein Tyrosine Phosphatases 1
    • Bone Metabolism and Diseases 1
    • PI3K/AKT/mTOR signaling in cancer 1
    • S100 Proteins and Annexins 1
    • Cancer, Hypoxia, and Metabolism 1

Yan Ge

4 papers receiving 92 citations

Peers

Yan Ge
Comparison fields: 5 of 39
  • Cancer Research 26
  • Molecular Biology 71
  • Aging 1
  • Immunology 12
  • Pathology and Forensic Medicine 10
Replace Christopher Hickey with:
Christopher Hickey United States
Yuexin Chen China
Heejoon Jo United States
Timothy Hagan United States
Ana P. Kutschat United States
Mingting Jiang China
Mikhila Mahendra United States
Annemieke De Wilde Belgium
Bob Meeusen Belgium
Junxiu Sheng China
Yan Ge relative to Christopher Hickey United States Christopher Hickey's profile →
Citations per field
00.5×
Christopher Hickey · 1×
Citations per year

Countries citing papers authored by Yan Ge

Since Specialization
Citations

This map shows the geographic impact of Yan 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 Yan Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ge more than expected).

Fields of papers citing papers by Yan Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan 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 Yan Ge. The network helps show where Yan Ge may publish in the future.

Co-authors

The 13 scholars most cited alongside Yan 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 Yan Ge Line = papers co-authored together Yan Ge links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Yan Ge

Yan Ge is a scholar working on Molecular Biology, Cancer Research, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Physiology, having authored 4 papers that have together received 92 indexed citations. Recurring topics across this work include Gestational Trophoblastic Disease Studies (1 paper), Pregnancy and preeclampsia studies (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Protein Tyrosine Phosphatases (1 paper), Bone Metabolism and Diseases (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), S100 Proteins and Annexins (1 paper) and Ectopic Pregnancy Diagnosis and Management (1 paper). The work is most often cited by research in Cancer Research (26 citations), Molecular Biology (71 citations), Aging (1 citation), Immunology (12 citations) and Pathology and Forensic Medicine (10 citations). Yan Ge has collaborated with scholars based in China and Australia. Frequent co-authors include Min Wei, Ye Yan, Qun Li, Wang Hu, Xu Dong Zhang, Jiegou Xu, Lin‐Jie Zhang, Guo Li, Dajiang J. Liu and Chang Liu. Their work appears in journals such as Journal of Gastroenterology, Biomedicine & Pharmacotherapy, Reproductive Sciences and Medical Science Monitor.

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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