Ge Chen

674 citations
15 papers · 192 · h-index 9

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 4
    • MicroRNA in disease regulation 2
    • Cancer Genomics and Diagnostics 1

Ge Chen

15 papers receiving 188 citations

Peers

Ge Chen
Comparison fields: 5 of 48
  • Developmental Biology 7
  • Cancer Research 30
  • Oncology 49
  • Ecology, Evolution, Behavior and Systematics 29
  • Surgery 46
Replace Shuo Mu with:
Shuo Mu China
Eva‐Maria Baur Austria
W Wang China
Tetsuo Abe Japan
John S. Quick United States
František Špoutil Czechia
Eric A. Hungate United States
Jill Q. Klausner United States
Michael P. Duffy United States
Karen Matthews United Kingdom
Ge Chen relative to Shuo Mu China Shuo Mu's profile →
Citations per field
00.5×2.7×
Shuo Mu · 1×
Citations per year

Countries citing papers authored by Ge Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ge Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201137
2 201332
3 202027
4 201220
5 201216
6 202013
7 201310
8 20168
9 20248
10 20207
11
[Comprehensive management of early stage avascular necrosis of femoral head by arthroscopic minimally invasive surgery].
20125
12 20244
13 20233
14 20231
15
[Tumor-segmental resection of hand-foot-giant cell tumor of bone and autologous iliac bone graft reconstruction].
20101

About Ge Chen

Ge Chen is a scholar working on Oncology, Cancer Research, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 192 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Circular RNAs in diseases (2 papers), MicroRNA in disease regulation (2 papers), Bone and Joint Diseases (1 paper), Ferroptosis and cancer prognosis (1 paper), Cancer Genomics and Diagnostics (1 paper), Immunotherapy and Immune Responses (1 paper) and Animal Ecology and Behavior Studies (1 paper). The work is most often cited by research in Developmental Biology (7 citations), Cancer Research (30 citations), Oncology (49 citations), Ecology, Evolution, Behavior and Systematics (29 citations) and Surgery (46 citations). Ge Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhongqiu Li, Guy Beauchamp, Taiping Zhang, Ling Feng, Mingchu Li, Wenming Wu, Quan Liao, Menghua Dai, Junchao Guo and Jie Dong. Their work appears in journals such as Carcinogenesis, Journal of Evidence-Based Medicine, BMJ Open Diabetes Research & Care, Contrast Media & Molecular Imaging and PLoS ONE.

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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