Guanshen Cui

2.2k citations
10 papers · 569 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • Metabolism, Diabetes, and Cancer

Papers in

    • RNA modifications and cancer 4
    • Single-cell and spatial transcriptomics 2
    • Cancer-related gene regulation 2
    • Planarian Biology and Electrostimulation 2
    • Metabolism, Diabetes, and Cancer 1
    • HVDC Systems and Fault Protection 2

Guanshen Cui

10 papers receiving 567 citations

Peers

Guanshen Cui
Comparison fields: 5 of 67
  • Cancer Research 208
  • Molecular Biology 468
  • Endocrinology, Diabetes and Metabolism 72
  • Energy Engineering and Power Technology 10
  • Immunology 34
Replace Masayuki Ebina with:
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Monika Kolanowska Poland
Ling Xie China
Qingtao Yan China
Ya-Rong Hu China
Emily E. Fannin United States
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Yajing Gao China
Gavin M. Traber United States
Guanshen Cui relative to Masayuki Ebina Japan Masayuki Ebina's profile →
Citations per field
00.5×5.5×
Masayuki Ebina · 1×
Citations per year

Countries citing papers authored by Guanshen Cui

Since Specialization
Citations

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

Fields of papers citing papers by Guanshen Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2018228
2 2007121
3 202194
4 202069
5 202212
6 202211
7 202310
8 20239
9 20238
10 20247

About Guanshen Cui

Guanshen Cui is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Global and Planetary Change, Public Health, Environmental and Occupational Health and Physiology, having authored 10 papers that have together received 569 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Single-cell and spatial transcriptomics (2 papers), HVDC Systems and Fault Protection (2 papers), Marine Ecology and Invasive Species (2 papers), Cancer-related gene regulation (2 papers), Planarian Biology and Electrostimulation (2 papers), Cell Image Analysis Techniques (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cancer Research (208 citations), Molecular Biology (468 citations), Endocrinology, Diabetes and Metabolism (72 citations), Energy Engineering and Power Technology (10 citations) and Immunology (34 citations). Guanshen Cui has collaborated with scholars based in China, India and Germany. Frequent co-authors include Ying Yang, Baofa Sun, Yun‐Gui Yang, Wei Li, Qingyang Zhang, Weiyi Lai, Wei‐Min Tong, Qi Zhou, Ang Li and Meng Wang. Their work appears in journals such as Cell Proliferation, Genomics Proteomics & Bioinformatics, Nature Communications, Genome biology and PLoS 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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