Ge Shan

9.3k citations
109 papers · 6.6k · 2 hit papers · h-index 35

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • RNA Interference and Gene Delivery
    • RNA and protein synthesis mechanisms

Papers in

    • Circular RNAs in diseases 34
    • RNA Research and Splicing 30
    • RNA modifications and cancer 30
    • CRISPR and Genetic Engineering 7
    • RNA Interference and Gene Delivery 4
    • Cancer-related molecular mechanisms research 30
    • MicroRNA in disease regulation 28

Ge Shan

108 papers receiving 6.6k citations

Ge Shan's Hit Papers

CircRNA in cancer: Fundamental mechanism and clinical potential 2021 · 369 citations
3690+3+7Years since publication50010001.5k2.0k

Peers

Ge Shan
Comparison fields: 5 of 131
  • Cancer Research 4.0k
  • Molecular Biology 5.6k
  • Aging 128
  • Developmental Neuroscience 50
  • Genetics 315
Replace Chanseok Shin with:
Chanseok Shin South Korea
Yoontae Lee South Korea
Minju Ha South Korea
Ramesh S. Pillai Switzerland
Harpreet K. Saini United Kingdom
Agnieszka Rybak‐Wolf Germany
Reinhard Rauhut Germany
Benjamin P. Lewis United States
Ligang Wu China
Marc R. Fabian Canada
Ge Shan relative to Chanseok Shin South Korea Chanseok Shin's profile →
Citations per field
00.5×3.3×
Chanseok Shin · 1×
Citations per year

Countries citing papers authored by Ge Shan

Since Specialization
Citations

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

Fields of papers citing papers by Ge Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exon-intron circular RNAs regulate transcription in the nucleus
Hit paper breakdown →
20152364
2
CircRNA in cancer: Fundamental mechanism and clinical potential
Hit paper breakdown →
2021369
3 2011310
4 2016293
5 2008205
6 2010202
7 2020150
8 2020140
9 2015124
10 2012117
11 2021109
12 2015105
13 201595
14 201977
15 201673
16 201672
17 201967
18 201862
19 200961
20 201660

About Ge Shan

Ge Shan is a scholar working on Molecular Biology, Cancer Research, Aging, Genetics and Plant Science, having authored 109 papers that have together received 6.6k indexed citations. Recurring topics across this work include Circular RNAs in diseases (34 papers), RNA Research and Splicing (30 papers), Cancer-related molecular mechanisms research (30 papers), RNA modifications and cancer (30 papers), MicroRNA in disease regulation (28 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers), CRISPR and Genetic Engineering (7 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Cancer Research (4.0k citations), Molecular Biology (5.6k citations), Aging (128 citations), Developmental Neuroscience (50 citations) and Genetics (315 citations). Ge Shan has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Liang Chen, Xiaolin Wang, Chuan Huang, Bin Yu, Qingfa Wu, Farooq Rashid, Abdullah Shah, Huijie Liu, Zhaoyong Li and Mei Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research, Nature Communications, Experimental Eye Research and Nature Structural & Molecular Biology.

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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