Yaqi Mo

797 citations
9 papers · 460 · 1 hit paper · h-index 7

Impact in

    • Cancer, Lipids, and Metabolism
    • Colorectal Cancer Treatments and Studies
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer, Lipids, and Metabolism 2
    • DNA Repair Mechanisms 4
    • Ubiquitin and proteasome pathways 1
    • Protein Kinase Regulation and GTPase Signaling 1

Yaqi Mo

8 papers receiving 452 citations

Yaqi Mo's Hit Papers

Signaling pathways involved in colorectal cancer: pathogenesis and targeted therapy 2024 · 289 citations
2890+1Years since publication50100150200250

Peers

Yaqi Mo
Comparison fields: 5 of 67
  • Cancer Research 96
  • Oncology 109
  • Health Informatics 9
  • Molecular Biology 170
  • Pharmaceutical Science 12
Replace Sheefa Mirza with:
Sheefa Mirza India
Qian Gao China
Athanasios Pagkalos Greece
Maria Aranes United States
Saranya Chidambaranathan Reghupaty United States
Elisabeth Werner Rönnerman Sweden
Rui Guan China
Masakazu Sato Japan
Yonglin Yi China
Zhongling Luo China
Yaqi Mo relative to Sheefa Mirza India Sheefa Mirza's profile →
Citations per field
00.5×2×3.1×
Sheefa Mirza · 1×
Citations per year

Countries citing papers authored by Yaqi Mo

Since Specialization
Citations

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

Fields of papers citing papers by Yaqi Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Signaling pathways involved in colorectal cancer: pathogenesis and targeted therapy
Hit paper breakdown →
2024289
2 202276
3 202443
4 202220
5 202212
6 20218
7 20217
8 20245
9 20250

About Yaqi Mo

Yaqi Mo is a scholar working on Cancer Research, Molecular Biology, Health Informatics, Cell Biology and Oncology, having authored 9 papers that have together received 460 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Cancer, Lipids, and Metabolism (2 papers), Ubiquitin and proteasome pathways (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Microtubule and mitosis dynamics (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Colorectal Cancer Treatments and Studies (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Cancer Research (96 citations), Oncology (109 citations), Health Informatics (9 citations), Molecular Biology (170 citations) and Pharmaceutical Science (12 citations). Yaqi Mo has collaborated with scholars based in China and United States. Frequent co-authors include Bo Xu, Qing Li, Jianpeng Sheng, Wei J. Wang, Lu Wang, Hao Luo, Guanbin Song, Mingming Xiao, Yamei Han and Han Wang. Their work appears in journals such as Signal Transduction and Targeted Therapy, Molecular Cancer, International Journal of Biological Sciences, Frontiers in Oncology and Experimental Hematology and Oncology.

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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