Wanli Ge

642 citations
18 papers · 408 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

    • RNA modifications and cancer 5
    • Epigenetics and DNA Methylation 3
    • Circular RNAs in diseases 3
    • RNA Research and Splicing 2
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 2

Wanli Ge

18 papers receiving 408 citations

Peers

Wanli Ge
Comparison fields: 5 of 42
  • Cancer Research 209
  • Molecular Biology 277
  • Oncology 63
  • Immunology 33
  • Pathology and Forensic Medicine 17
Replace Xumin Huang with:
Xumin Huang China
Teng Fei Qi China
Junjie Qu China
Shule Xie China
Jou‐Ho Shih Taiwan
Maurizio Risolino United States
Chengyi Sun China
Sandra Santasusagna Spain
Eduardo Tormo Spain
Chonghui Hu China
Wanli Ge relative to Xumin Huang China Xumin Huang's profile →
Citations per field
00.5×1.5×
Xumin Huang · 1×
Citations per year

Countries citing papers authored by Wanli Ge

Since Specialization
Citations

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

Fields of papers citing papers by Wanli Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wanli 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 Wanli Ge Line = papers co-authored together Wanli Ge links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202061
2 202256
3 202155
4 201946
5 201932
6 202323
7 201923
8 202022
9 202120
10 202016
11 202215
12 202113
13 20189
14 20205
15 20214
16 20244
17 20162
18 20222

About Wanli Ge

Wanli Ge is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 18 papers that have together received 408 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (4 papers), Epigenetics and DNA Methylation (3 papers), Circular RNAs in diseases (3 papers), Ferroptosis and cancer prognosis (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), MicroRNA in disease regulation (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (209 citations), Molecular Biology (277 citations), Oncology (63 citations), Immunology (33 citations) and Pathology and Forensic Medicine (17 citations). Wanli Ge has collaborated with scholars based in China and Germany. Frequent co-authors include Lingdong Meng, Peng Shen, Yi Miao, Kuirong Jiang, Hao Yuan, Xumin Huang, Yihan Zhang, Guodong Shi, Pengfei Wu and Taoyue Yang. Their work appears in journals such as Cancer Letters, Cell & Bioscience, BioMed Research International, Journal of Immunology Research and Journal of Experimental & Clinical Cancer Research.

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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