Xiaoyan Mo

1.6k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Xiaoyan Mo is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Xiaoyan Mo has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaoyan Mo's work include Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (4 papers) and RNA modifications and cancer (3 papers). Xiaoyan Mo is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (4 papers) and RNA modifications and cancer (3 papers). Xiaoyan Mo collaborates with scholars based in China. Xiaoyan Mo's co-authors include Junming Guo, Tianwen Li, Bingxiu Xiao, Yongfu Shao, Huilin Chen, Peifei Li, Shengcan Chen, Liyun Fu, Ting Yao and Qingqing Chen and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Psychopharmacology.

In The Last Decade

Xiaoyan Mo

14 papers receiving 1.1k 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.

Using circular RNA as a novel type of biomarker in the screening of gastric cancer

2015 652 citations Peifei Li, Shengcan Chen et al. Clinica Chimica Acta profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoyan Mo China	7	1.1k	1.0k	48	31	30	15	1.1k
Cheuk-Wa Wong China	4	625 0.6×	581 0.6×	36 0.8×	18 0.6×	25 0.8×	4	698
Botai Li China	7	968 0.9×	799 0.8×	25 0.5×	54 1.7×	35 1.2×	10	1.1k
Zhenjun Zhao China	7	646 0.6×	481 0.5×	22 0.5×	24 0.8×	10 0.3×	10	692
Xuhua Xiao China	7	461 0.4×	392 0.4×	11 0.2×	37 1.2×	19 0.6×	13	505
Zhe Xuan China	9	525 0.5×	431 0.4×	20 0.4×	85 2.7×	35 1.2×	17	653
Marcel Klingenberg Germany	5	542 0.5×	503 0.5×	28 0.6×	23 0.7×	48 1.6×	5	628
Meng Pu China	10	465 0.4×	386 0.4×	52 1.1×	35 1.1×	20 0.7×	19	582
Rudi Micheletti Switzerland	6	550 0.5×	461 0.5×	51 1.1×	21 0.7×	20 0.7×	7	659
Qier Li China	8	538 0.5×	555 0.5×	75 1.6×	37 1.2×	60 2.0×	9	645

Countries citing papers authored by Xiaoyan Mo

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyan Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Mo. A scholar is included among the top collaborators of Xiaoyan 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 Xiaoyan Mo. Xiaoyan 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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15 of 15 papers shown

1.

Mo, Xiaoyan, Qifeng Chen, Wenbo Guo, et al.. (2025). Combining immune checkpoint inhibitors and molecular-targeted agents with hepatic arterial infusion chemotherapy for hepatocellular carcinoma with inferior vena cava and/or right atrium tumor thrombus. Hepatology International. 19(3). 560–575. 2 indexed citations

2.

Su, Xin, et al.. (2025). Decoding the genetic links between substance use disorder and cancer vulnerability. Psychopharmacology. 242(9). 2021–2033. 1 indexed citations

3.

Wang, Xiaoyu, et al.. (2024). Qntrolling the LncRNA HULC-Tregs-PD-1 axis inhibits immune escape in the tumor microenvironment. Heliyon. 10(7). e28386–e28386. 3 indexed citations

4.

Liu, Zeyu, et al.. (2024). Association between multiple sclerosis and cancer risk: A two-sample Mendelian randomization study. PLoS ONE. 19(3). e0298271–e0298271. 2 indexed citations

5.

Liang, C. Jason, et al.. (2024). Nasopharyngeal carcinoma-associated inflammatory cytokines: ongoing biomarkers. Frontiers in Immunology. 15. 1448012–1448012.

6.

Mo, Xiaoyan, et al.. (2018). Global expression profiling of metabolic pathway‐related lncRNAs in human gastric cancer and the identification of RP11‐555H23.1 as a new diagnostic biomarker. Journal of Clinical Laboratory Analysis. 33(2). e22692–e22692. 31 indexed citations

7.

Mo, Xiaoyan, Tianwen Li, Linwen Zhu, et al.. (2018). Identification and functional annotation of metabolism‐associated lncRNAs and their related protein‐coding genes in gastric cancer. Molecular Genetics & Genomic Medicine. 6(5). 728–738. 15 indexed citations

8.

Sun, Weiliang, et al.. (2017). Clinical significance of the long noncoding RNA RP11-19P22.6-001 in gastric cancer. Cancer Biomarkers. 18(4). 397–403. 10 indexed citations

9.

Fu, Liyun, Ting Yao, Qingqing Chen, et al.. (2017). Screening differential circular RNA expression profiles reveals hsa_circ_0004018 is associated with hepatocellular carcinoma. Oncotarget. 8(35). 58405–58416. 154 indexed citations

10.

Xie, Yi, Tianwen Li, Xiaoyan Mo, & Junming Guo. (2016). [Circular RNAs and their roles in tumorigenesis].. PubMed. 32(11). 1507–1518. 4 indexed citations

11.

Li, Tianwen, Xiaoyan Mo, Liyun Fu, Bingxiu Xiao, & Junming Guo. (2016). Molecular mechanisms of long noncoding RNAs on gastric cancer. Oncotarget. 7(8). 8601–8612. 235 indexed citations

12.

Li, Peifei, Shengcan Chen, Huilin Chen, et al.. (2015). Using circular RNA as a novel type of biomarker in the screening of gastric cancer. Clinica Chimica Acta. 444. 132–136. 652 indexed citations breakdown →

13.

Li, Yongqing, Xiongwei Fan, Yuequn Wang, et al.. (2010). SAMD4B, a novel SAM-containing protein, inhibits AP-1-, p53- and p21-mediated transcriptional activity. BMB Reports. 43(5). 355–362. 11 indexed citations

14.

Huang, Wen, Yun Deng, Wei Dong, et al.. (2010). The effect of excess expression of GFP in a novel heart-specific green fluorescence zebrafish regulated by nppa enhancer at early embryonic development. Molecular Biology Reports. 38(2). 793–799. 6 indexed citations

15.

Zhang, Guang, et al.. (2003). [Synthesis of copolyesters consisting of 3-hydroxybutyrate and 3-hydroxyhexanoate by Aeromonas hydrophila WQ and its molecular basis].. PubMed. 43(6). 809–12. 3 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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