Xinlin Jiao

449 total citations
13 papers, 296 citations indexed

About

Xinlin Jiao is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Xinlin Jiao has authored 13 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in Xinlin Jiao's work include RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (3 papers) and Circular RNAs in diseases (3 papers). Xinlin Jiao is often cited by papers focused on RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (3 papers) and Circular RNAs in diseases (3 papers). Xinlin Jiao collaborates with scholars based in China, Democratic Republic of the Congo and United States. Xinlin Jiao's co-authors include Baoxia Cui, Teng Zhang, Daoxin Ma, Jun Jiao, Lu Zhao, Jun Jiao, Wenjie Qu, Beihua Kong, Qing Zhang and Siying Zhang and has published in prestigious journals such as The Journal of Immunology, Archives of Biochemistry and Biophysics and Gene.

In The Last Decade

Xinlin Jiao

13 papers receiving 292 citations

Peers

Xinlin Jiao
Xiaoke Wu China
Xinlin Jiao
Citations per year, relative to Xinlin Jiao Xinlin Jiao (= 1×) peers Xiaoke Wu

Countries citing papers authored by Xinlin Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Xinlin Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinlin Jiao

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

All Works

13 of 13 papers shown
1.
Bian, Tingting, Lingwei Sun, Xinlin Jiao, et al.. (2025). SLC7A11 is a potential therapeutic target and prognostic biomarker correlated with immune cell infiltration in cervical cancer. Discover Oncology. 16(1). 125–125. 4 indexed citations
2.
Wang, Zixiang, Jinwen Ye, Teng Zhang, et al.. (2024). Targeting tumor-associated macrophage-derived CD74 improves efficacy of neoadjuvant chemotherapy in combination with PD-1 blockade for cervical cancer. Journal for ImmunoTherapy of Cancer. 12(8). e009024–e009024. 8 indexed citations
3.
Wang, Bingyu, Jinwen Ye, Xinlin Jiao, et al.. (2024). Glycolysis Induced by METTL14 Is Essential for Macrophage Phagocytosis and Phenotype in Cervical Cancer. The Journal of Immunology. 212(4). 723–736. 14 indexed citations
4.
Zhang, Huan, Dong Guo, Bao Liu, et al.. (2024). Risk of intraoperative hemorrhage during cesarean scar ectopic pregnancy surgery: development and validation of an interpretable machine learning prediction model. EClinicalMedicine. 78. 102969–102969. 6 indexed citations
5.
Wang, Qi, Bingyu Wang, Wenjing Zhang, et al.. (2024). APLN promotes the proliferation, migration, and glycolysis of cervical cancer through the PI3K/AKT/mTOR pathway. Archives of Biochemistry and Biophysics. 755. 109983–109983. 9 indexed citations
6.
Dong, Taotao, Linlin Wang, Qingqing Liu, et al.. (2022). Development of a Novel Deep Learning-Based Prediction Model for the Prognosis of Operable Cervical Cancer. Computational and Mathematical Methods in Medicine. 2022. 1–14. 5 indexed citations
7.
Qu, Wenjie, Qingqing Liu, Xinlin Jiao, et al.. (2021). Development and Validation of a Personalized Survival Prediction Model for Uterine Adenosarcoma: A Population-Based Deep Learning Study. Frontiers in Oncology. 10. 623818–623818. 9 indexed citations
8.
Jiao, Jun, Xinlin Jiao, Qingqing Liu, et al.. (2020). <p>The Regulatory Role of circRNA_101308 in Cervical Cancer and the Prediction of Its Mechanism</p>. Cancer Management and Research. Volume 12. 4807–4815. 16 indexed citations
9.
Zhang, Zhiwei, Chenggong Sun, Chengcheng Li, et al.. (2020). Upregulated MELK Leads to Doxorubicin Chemoresistance and M2 Macrophage Polarization via the miR-34a/JAK2/STAT3 Pathway in Uterine Leiomyosarcoma. Frontiers in Oncology. 10. 453–453. 31 indexed citations
10.
Jiao, Xinlin, Siying Zhang, Jun Jiao, et al.. (2019). Promoter methylation of SEPT9 as a potential biomarker for early detection of cervical cancer and its overexpression predicts radioresistance. Clinical Epigenetics. 11(1). 120–120. 79 indexed citations
11.
Jiao, Jun, Teng Zhang, Xinlin Jiao, et al.. (2019). hsa_circ_0000745 promotes cervical cancer by increasing cell proliferation, migration, and invasion. Journal of Cellular Physiology. 235(2). 1287–1295. 83 indexed citations
12.
Jiao, Xinlin, et al.. (2018). Increased expression of FHL2 promotes tumorigenesis in cervical cancer and is correlated with poor prognosis. Gene. 669. 99–106. 15 indexed citations
13.
Zhang, Teng, Jun Jiao, Xinlin Jiao, et al.. (2017). Aberrant frequency of TNFR2+ Treg and related cytokines in patients with CIN and cervical cancer. Oncotarget. 9(4). 5073–5083. 17 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026