Qi Gui

412 citations
32 papers · 314 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Extracellular vesicles in disease
    • RNA modifications and cancer

Papers in

Qi Gui

27 papers receiving 311 citations

Peers

Qi Gui
Comparison fields: 5 of 65
  • Cancer Research 109
  • Molecular Biology 178
  • Oncology 65
  • Internal Medicine 6
  • Anesthesiology and Pain Medicine 8
Replace Eun‐Ji Lee with:
Eun‐Ji Lee South Korea
Hiromi Hanaka Japan
Hang-xing Bao China
Debanjali Dasgupta United States
Antonietta Pia Gallo Italy
Hua Qian China
Saskia Wedel Germany
Tatiana Konovalova Germany
Alban Muller Switzerland
Qi Gui relative to Eun‐Ji Lee South Korea Eun‐Ji Lee's profile →
Citations per field
00.5×
Eun‐Ji Lee · 1×
Citations per year

Countries citing papers authored by Qi Gui

Since Specialization
Citations

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

Fields of papers citing papers by Qi Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202149
2 201530
3 201130
4 201326
5 201219
6 202019
7 201317
8
In vitro cytotoxic and antiproliferative effects of portulaca oleracea methanol extract on breast, cervical, colon and nasopharyngeal cancerous cell lines
201317
9 202116
10 201514
11 202113
12 202310
13 20219
14 20227
15 20187
16
Increased expression of lncRNA ZEB1-AS1 in non-small cell lung cancer is associated with poor prognosis.
20186
17 20234
18 20174
19 20204
20 20153

About Qi Gui

Qi Gui is a scholar working on Molecular Biology, Surgery, Oncology, Cancer Research and Infectious Diseases, having authored 32 papers that have together received 314 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Pain Mechanisms and Treatments (3 papers), Cancer-related molecular mechanisms research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Treatment and Pharmacology (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (109 citations), Molecular Biology (178 citations), Oncology (65 citations), Internal Medicine (6 citations) and Anesthesiology and Pain Medicine (8 citations). Qi Gui has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yanbing Shen, Jing Zhang, Minghui Li, Hui Zhang, Shiying Yu, Ping Peng, Liang Zhuang, Shu Xia, Chengcheng Xu and Wenshu Chen. Their work appears in journals such as Medicine, Journal of Virology, Virology Journal, Cell Reports and Science Advances.

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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