Gaigai Guo

586 citations
5 papers · 19 · h-index 2

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms

Papers in

    • RNA Research and Splicing 2
    • Coenzyme Q10 studies and effects 1
    • RNA modifications and cancer 1
    • Bioactive Compounds and Antitumor Agents 1

Gaigai Guo

3 papers receiving 19 citations

Peers

Gaigai Guo
Comparison fields: 5 of 18
  • Toxicology 1
  • Molecular Biology 15
  • Biophysics 1
  • Cancer Research 2
  • Biochemistry 1
Replace Tadasuke Nozaki with:
Tadasuke Nozaki Japan
Jay-How Yang United States
Yanjuan Ma China
Nishigandha Phalke United States
Gregory Andrews United States
Pablo Pedrosa Spain
Z. Y. You China
Seyone Chithrananda United States
Yinqi Zhao United States
Peter Niimi United States
Gaigai Guo relative to Tadasuke Nozaki Japan Tadasuke Nozaki's profile →
Citations per field
00.5×1.5×
Tadasuke Nozaki · 1×
Citations per year

Countries citing papers authored by Gaigai Guo

Since Specialization
Citations

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

Fields of papers citing papers by Gaigai Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Gaigai Guo, 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 Gaigai Guo Line = papers co-authored together Gaigai Guo links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 202411
2
NQO1 is a determinant for cellular sensitivity to anti-tumor agent Napabucasin.
20207
3
[Differential proteome analysis of carbon tetrachloride-induced mouse liver fibrosis].
20141
4 20230
5 20180

About Gaigai Guo

Gaigai Guo is a scholar working on Molecular Biology, Toxicology, Epidemiology, Spectroscopy and Plant Science, having authored 5 papers that have together received 19 indexed citations. Recurring topics across this work include RNA Research and Splicing (2 papers), Coenzyme Q10 studies and effects (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), Liver physiology and pathology (1 paper), RNA modifications and cancer (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Plant Genetic and Mutation Studies (1 paper). The work is most often cited by research in Toxicology (1 citation), Molecular Biology (15 citations), Biophysics (1 citation), Cancer Research (2 citations) and Biochemistry (1 citation). Gaigai Guo has collaborated with scholars based in China, United States and Montenegro. Frequent co-authors include Dongdong Zhan, Yi Lin, Xi Li, Taoyu Chen, Tingting Li, Xueya Zhou, Jun Qin, Mengsha Tong, Guangshun Wang and Wei Lai. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Genome biology, Bioinformatics and PubMed.

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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