Guogui Sun

2.2k citations
56 papers · 897 indexed · h-index 18

Impact in

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

Papers in

Guogui Sun

52 papers receiving 888 citations

Peers

Guogui Sun
Comparison fields: 5 of 91
  • Cancer Research 334
  • Molecular Biology 604
  • Oncology 170
  • Pulmonary and Respiratory Medicine 165
  • Immunology 64
Replace Mitsuhiko Abe with:
Mitsuhiko Abe Japan
Yan Gu China
Lou Baudrier United States
Luke Miller United States
Amber Willbanks United States
Lu Yue China
Binlu Huang China
Angélique Gougèlet France
Hongchao Zhao China
Guogui Sun relative to Mitsuhiko Abe Japan Mitsuhiko Abe's profile →
Citations per field
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Mitsuhiko Abe · 1×
Citations per year

Countries citing papers authored by Guogui Sun

Since Specialization
Citations

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

Fields of papers citing papers by Guogui Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201859
2 201855
3 201745
4 202244
5 202342
6 201840
7 201835
8 201234
9 201332
10 201430
11 201930
12 201428
13 201325
14 201424
15 201423
16 201422
17 202020
18 202019
19 201617
20 201316

About Guogui Sun

Guogui Sun is a scholar working on Cancer Research, Geriatrics and Gerontology, Molecular Biology, Cell Biology and Oncology, having authored 56 papers that have together received 897 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (10 papers), Cancer-related gene regulation (7 papers), Glutathione Transferases and Polymorphisms (7 papers), RNA modifications and cancer (6 papers), Microtubule and mitosis dynamics (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Cancer Research (334 citations), Molecular Biology (604 citations), Oncology (170 citations), Pulmonary and Respiratory Medicine (165 citations) and Immunology (64 citations). Guogui Sun has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Wanning Hu, Yadi Wang, Meiyue Liu, Congrong Yang, Yi Niu, Peng Gao, Xiaomei Wei, Jie Zhang, Yang Zhao and Hongmin Li. Their work appears in journals such as Tumor Biology, Pathology & Oncology Research, Journal of Cancer, Cell Death and Disease 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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