Yaqi Mo

554 total citations · 1 hit paper
9 papers, 276 citations indexed

About

Yaqi Mo is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yaqi Mo has authored 9 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yaqi Mo's work include DNA Repair Mechanisms (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer, Lipids, and Metabolism (2 papers). Yaqi Mo is often cited by papers focused on DNA Repair Mechanisms (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer, Lipids, and Metabolism (2 papers). Yaqi Mo collaborates with scholars based in China, United States and Thailand. Yaqi Mo's co-authors include Bo Xu, Qing Li, Qing Luo, Lu Wang, Jianpeng Sheng, Guanbin Song, Shan Geng, Hao Luo, Wei Wang and Mingming Xiao and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Yaqi Mo

8 papers receiving 273 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Signaling pathways involved in colorectal cancer: pathogenesis and targeted therapy

2024 169 citations Qing Li, Shan Geng et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yaqi Mo China	6	129	75	70	36	28	9	276
Peace Mabeta South Africa	10	197 1.5×	105 1.4×	58 0.8×	33 0.9×	26 0.9×	23	383
Jingyang He China	11	222 1.7×	55 0.7×	59 0.8×	28 0.8×	25 0.9×	21	324
Huilin Niu China	7	213 1.7×	93 1.2×	111 1.6×	34 0.9×	27 1.0×	18	357
Caterina Bartolacci Italy	11	224 1.7×	78 1.0×	77 1.1×	48 1.3×	28 1.0×	15	345
Yibiao Chen China	10	162 1.3×	52 0.7×	61 0.9×	27 0.8×	51 1.8×	14	275
Huanhu Zhang China	10	125 1.0×	74 1.0×	57 0.8×	52 1.4×	41 1.5×	26	310
Felicitas Mungenast Austria	9	147 1.1×	135 1.8×	98 1.4×	31 0.9×	47 1.7×	11	407
Nüket Eliyatkın Türkiye	6	104 0.8×	102 1.4×	94 1.3×	32 0.9×	29 1.0×	26	268
Marwa Mohanad Egypt	11	132 1.0×	110 1.5×	98 1.4×	40 1.1×	25 0.9×	26	313

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-authorship network of co-authors of Yaqi Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Yaqi Mo. A scholar is included among the top collaborators of Yaqi Mo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yaqi Mo. Yaqi Mo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Liu, Zhuang, Han Wang, Yamei Han, et al.. (2025). ZDHHC20-mediated S-palmitoylation of KAP1/TRIM28 promotes DNA damage repair. Oncogene. 44(46). 4533–4548.

2.

Chen, Yang, Mingming Xiao, Yaqi Mo, et al.. (2024). Nuclear porcupine mediates XRCC6/Ku70 S-palmitoylation in the DNA damage response. Experimental Hematology and Oncology. 13(1). 109–109. 3 indexed citations

3.

Mo, Yaqi, Yamei Han, Yang Chen, et al.. (2024). ZDHHC20 mediated S-palmitoylation of fatty acid synthase (FASN) promotes hepatocarcinogenesis. Molecular Cancer. 23(1). 274–274. 20 indexed citations

4.

Li, Qing, Shan Geng, Hao Luo, et al.. (2024). Signaling pathways involved in colorectal cancer: pathogenesis and targeted therapy. Signal Transduction and Targeted Therapy. 9(1). 266–266. 169 indexed citations breakdown →

5.

Liu, Zhuang, Mingming Xiao, Yaqi Mo, et al.. (2022). Emerging roles of protein palmitoylation and its modifying enzymes in cancer cell signal transduction and cancer therapy. International Journal of Biological Sciences. 18(8). 3447–3457. 50 indexed citations

6.

Xiao, Mingming, Zhuang Liu, Yaqi Mo, et al.. (2022). Dual-functional significance of ATM-mediated phosphorylation of spindle assembly checkpoint component Bub3 in mitosis and the DNA damage response. Journal of Biological Chemistry. 298(3). 101632–101632. 11 indexed citations

7.

Lin, Bo, et al.. (2022). Intelligent oncology: The convergence of artificial intelligence and oncology. SHILAP Revista de lepidopterología. 3(1). 83–91. 15 indexed citations

8.

Xiao, Mingming, et al.. (2021). The functional significance of ATM phosphorylation of Bub3 on Serine 135 in sensitivity to DNA damaging agents.. Journal of Clinical Oncology. 39(15_suppl). e15048–e15048. 1 indexed citations

9.

Ma, Jinlu, Mengjiao Cai, Yaqi Mo, et al.. (2021). The SPOP-ITCH Signaling Axis Protects Against Prostate Cancer Metastasis. Frontiers in Oncology. 11. 658230–658230. 7 indexed citations

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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