Yanxia Bai

400 total citations
37 papers, 250 citations indexed

About

Yanxia Bai is a scholar working on Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yanxia Bai has authored 37 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Cancer Research and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yanxia Bai's work include RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (10 papers) and Thyroid Cancer Diagnosis and Treatment (8 papers). Yanxia Bai is often cited by papers focused on RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (10 papers) and Thyroid Cancer Diagnosis and Treatment (8 papers). Yanxia Bai collaborates with scholars based in China, Australia and United States. Yanxia Bai's co-authors include Shiyang Wang, Peng Han, Shaoqiang Zhang, Shiming Zhang, Ting Li, Huqin Zhang, Lei Guan, Bing He, Honghui Li and Lin Song and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and BioMed Research International.

In The Last Decade

Yanxia Bai

36 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanxia Bai China 9 121 81 44 37 35 37 250
Songfeng Zhao China 8 100 0.8× 70 0.9× 49 1.1× 22 0.6× 28 0.8× 18 255
Weimin Wu China 11 169 1.4× 103 1.3× 59 1.3× 50 1.4× 15 0.4× 19 326
Yuanwen Zheng China 8 169 1.4× 144 1.8× 42 1.0× 43 1.2× 11 0.3× 20 299
Lei Xiao China 5 76 0.6× 46 0.6× 60 1.4× 52 1.4× 9 0.3× 7 216
Veronica De Simone Italy 10 143 1.2× 46 0.6× 48 1.1× 42 1.1× 26 0.7× 15 280
Henry Kuang United States 9 128 1.1× 40 0.5× 29 0.7× 28 0.8× 15 0.4× 12 277
Liyuan Liu China 9 88 0.7× 29 0.4× 31 0.7× 29 0.8× 8 0.2× 21 244
Isabel Anna Carota Germany 9 191 1.6× 20 0.2× 64 1.5× 30 0.8× 15 0.4× 10 321
Angelica Vivero United States 4 54 0.4× 61 0.8× 50 1.1× 15 0.4× 32 0.9× 9 323
Annie Yim Netherlands 5 199 1.6× 43 0.5× 18 0.4× 22 0.6× 7 0.2× 12 263

Countries citing papers authored by Yanxia Bai

Since Specialization
Citations

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

Fields of papers citing papers by Yanxia Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanxia Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Yanxia Bai. A scholar is included among the top collaborators of Yanxia Bai 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 Yanxia Bai. Yanxia Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Yusheng, Ruiping Ma, Zehui Li, et al.. (2025). Quantification of inhaled cigarette smoke movement and deposition in human nasal airways. Journal of Aerosol Science. 185. 106548–106548. 1 indexed citations
2.
Liu, Zhihan, Lei Meng, & Yanxia Bai. (2025). Chronic Stress Mediates Inflammatory Cytokines Alterations and Its Role in Tumorigenesis. Journal of Inflammation Research. Volume 18. 1067–1090. 9 indexed citations
3.
Wang, Wenyan, Yue Chen, Qian Chen, et al.. (2025). Nomogram-derived immune-inflammation-nutrition score could act as a novel prognostic indicator for patients with head and neck squamous cell carcinoma. Frontiers in Immunology. 15. 1500525–1500525.
4.
Wang, Yusheng, Jingkun Qu, Ruiping Ma, et al.. (2024). Random survival forest predicts survival in patients with metastatic laryngeal and hypopharyngeal cancer and the prognostic benefits of surgery and radiotherapy. Journal of Cancer. 16(2). 603–621. 2 indexed citations
5.
Chen, Qian, Shiyang Wang, Yue Chen, et al.. (2024). Novel pretreatment nomograms based on pan-immune-inflammation value for predicting clinical outcome in patients with head and neck squamous cell carcinoma. Frontiers in Oncology. 14. 1399047–1399047. 1 indexed citations
6.
Gu, Yanan, Qi Liu, Qian Chen, et al.. (2023). MYO5A overexpression promotes invasion and correlates with low lymphocyte infiltration in head and neck squamous carcinoma. BMC Cancer. 23(1). 1267–1267. 3 indexed citations
7.
Zhao, Qian, et al.. (2022). Targeting EIF3C to suppress the development and progression of nasopharyngeal carcinoma. Frontiers in Bioengineering and Biotechnology. 10. 994628–994628. 2 indexed citations
8.
9.
Li, Ting, Lei Guan, Guangbo Tang, et al.. (2021). Downregulation of TMEM220 promotes tumor progression in Hepatocellular Carcinoma. Cancer Gene Therapy. 29(6). 835–844. 4 indexed citations
10.
Wang, Shiyang, et al.. (2021). The effect of VAV3 polymorphisms on thyroid cancer. Endocrine. 75(1). 178–184. 2 indexed citations
11.
Xu, Chongwen, Yuan Shao, Junsong Liu, et al.. (2021). Long non‐coding RNA AGAP2-AS1 promotes proliferation and metastasis in papillary thyroid cancer by miR-628-5p/KLF12 axis. Journal of Bioenergetics and Biomembranes. 53(2). 235–245. 8 indexed citations
12.
Han, Peng, et al.. (2020). The Genetic Polymorphisms in the MIR17HG Gene Are Associated with the Risk of Head and Neck Squamous Cell Carcinoma in the Chinese Han Population. BioMed Research International. 2020(1). 2329196–2329196. 4 indexed citations
13.
Liu, Junsong, Rui Wang, Peng Han, et al.. (2020). Do carbon nanoparticles really improve thyroid cancer surgery? A retrospective analysis of real-world data. World Journal of Surgical Oncology. 18(1). 84–84. 14 indexed citations
14.
Han, Peng, et al.. (2019). Association of SNPs in the OBFC1 gene and laryngeal carcinoma in Chinese Han male population. International Journal of Clinical Oncology. 24(9). 1042–1048. 7 indexed citations
15.
Xu, Chongwen, Junsong Liu, Yanxia Bai, et al.. (2019). Downregulation of microR-147b represses the proliferation and invasion of thyroid carcinoma cells by inhibiting Wnt/β-catenin signaling via targeting SOX15. Molecular and Cellular Endocrinology. 501. 110662–110662. 11 indexed citations
16.
Liu, Junsong, Honghui Li, Qian Zhao, et al.. (2019). Associations between expression levels of nine core nucleotide excision repair genes in lymphocytes and risk of head and neck squamous cell carcinomas in a Chinese population. International Journal of Clinical Oncology. 25(4). 660–669. 4 indexed citations
17.
Bai, Yanxia, et al.. (2016). Ki-67 is overexpressed in human laryngeal carcinoma and contributes to the proliferation of HEp2 cells. Oncology Letters. 12(4). 2641–2647. 9 indexed citations
18.
Wang, Shiyang, et al.. (2016). p21 participates in the regulation of anaplastic thyroid cancer cell proliferation by miR-146b. Oncology Letters. 12(3). 2018–2022. 7 indexed citations
19.
Xiao, Ying, et al.. (2014). Different Effects of Propofol and Isoflurane on Cochlear Blood Flow and Hearing Function in Guinea Pigs. PLoS ONE. 9(5). e96861–e96861. 4 indexed citations
20.

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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