Ai‐Yan Xing

627 total citations
24 papers, 482 citations indexed

About

Ai‐Yan Xing is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ai‐Yan Xing has authored 24 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Ai‐Yan Xing's work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers) and RNA modifications and cancer (4 papers). Ai‐Yan Xing is often cited by papers focused on MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers) and RNA modifications and cancer (4 papers). Ai‐Yan Xing collaborates with scholars based in China and Vietnam. Ai‐Yan Xing's co-authors include Peng Gao, Duan‐Bo Shi, Ya‐Wen Wang, Hui Zhang, Yawen Wang, Haiting Liu, Chen Xu, Yanxiang Li, Lei Liu and Xiangyu Guo and has published in prestigious journals such as Scientific Reports, Cancer Letters and The Journal of Pathology.

In The Last Decade

Ai‐Yan Xing

24 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai‐Yan Xing China 11 373 282 80 40 39 24 482
Yong Gu China 10 324 0.9× 181 0.6× 100 1.3× 51 1.3× 40 1.0× 14 469
Reilly L. Kidwell United States 8 413 1.1× 191 0.7× 114 1.4× 52 1.3× 18 0.5× 14 517
Helga Simon‐Molas Netherlands 7 252 0.7× 201 0.7× 87 1.1× 60 1.5× 24 0.6× 18 389
Xiangbao Yin China 12 263 0.7× 204 0.7× 51 0.6× 33 0.8× 33 0.8× 22 367
Gai‐Xia Lu China 15 368 1.0× 297 1.1× 94 1.2× 26 0.7× 24 0.6× 25 496
Nicole P. Ho Hong Kong 6 265 0.7× 213 0.8× 137 1.7× 65 1.6× 41 1.1× 9 453
Paula López-Serra Spain 6 486 1.3× 249 0.9× 64 0.8× 34 0.8× 21 0.5× 6 572
Wenzheng Yuan China 8 304 0.8× 176 0.6× 179 2.2× 44 1.1× 31 0.8× 8 458
Kun-Ling Xie China 9 306 0.8× 160 0.6× 118 1.5× 51 1.3× 40 1.0× 10 387
Chengyi Sun China 10 400 1.1× 385 1.4× 93 1.2× 69 1.7× 14 0.4× 10 527

Countries citing papers authored by Ai‐Yan Xing

Since Specialization
Citations

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

Fields of papers citing papers by Ai‐Yan Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai‐Yan Xing. 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 Ai‐Yan Xing. The network helps show where Ai‐Yan Xing may publish in the future.

Co-authorship network of co-authors of Ai‐Yan Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Ai‐Yan Xing. A scholar is included among the top collaborators of Ai‐Yan Xing 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 Ai‐Yan Xing. Ai‐Yan Xing 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.
Lv, Hong, Junqiu Yue, Qingfu Zhang, et al.. (2025). Prevalence and concordance of HER2-low and HER2-ultralow status between historical and rescored results in a multicentre study of breast cancer patients in China. Breast Cancer Research. 27(1). 45–45. 5 indexed citations
2.
Wang, Bin, Ai‐Yan Xing, Guangxin Li, Long Liu, & Chungen Xing. (2024). SNHG14 promotes triple‐negative breast cancer cell proliferation, invasion, and chemoresistance by regulating the ERK/MAPK signaling pathway. IUBMB Life. 76(12). 1295–1308. 5 indexed citations
3.
Xing, Ai‐Yan, et al.. (2022). Clinicopathological Characteristics and Molecular Phenotypes of Primary Hepatic Lymphoma. Frontiers in Oncology. 12. 906245–906245. 5 indexed citations
4.
Zhou, Juan, Miao Duan, Qiong Jiao, et al.. (2022). Primary Thyroid NUT Carcinoma With High PD-L1 Expression and Novel Massive IGKV Gene Fusions: A Case Report With Treatment Implications and Literature Review. Frontiers in Oncology. 11. 778296–778296. 14 indexed citations
5.
Xing, Ai‐Yan, et al.. (2022). Rare Recurrent EWSR1-PLAGL1 Rearranged Intracranial Tumor With Biphasic Epithelioid Differentiation: One Case Report With Literature Review. Frontiers in Oncology. 12. 938385–938385. 2 indexed citations
6.
Wang, Jian, Jing Liu, Peng Su, et al.. (2022). Anaplastic lymphoma kinase fusion protein expression is associated with a favorable prognosis in resected invasive mucinous lung adenocarcinoma. Journal of Cancer Research and Therapeutics. 18(2). 445–451. 2 indexed citations
7.
Xing, Ai‐Yan, et al.. (2022). miR-638 Serves as a Biomarker of 5-Fluorouracil Sensitivity to Neoadjuvant Chemotherapy in Breast Cancer. Journal of Breast Cancer. 25(3). 193–193. 3 indexed citations
8.
Xing, Ai‐Yan, Bin Wang, Yu-Hong Li, et al.. (2021). Identification of miRNA Signature in Breast Cancer to Predict Neoadjuvant Chemotherapy Response. Pathology & Oncology Research. 27. 1609753–1609753. 16 indexed citations
9.
Sun, Yujing, Junyi He, Duan‐Bo Shi, et al.. (2020). Elevated ZBTB7A expression in the tumor invasive front correlates with more tumor budding formation in gastric adenocarcinoma. Journal of Cancer Research and Clinical Oncology. 147(1). 105–115. 9 indexed citations
10.
Song, Li, Ai‐Yan Xing, Qiuju Li, & Guoyun Wang. (2019). High-Grade Serous Carcinoma Resulting From Rectal Endometriosis and Complicated With Ovarian Cancer. Frontiers in Oncology. 9. 1252–1252. 6 indexed citations
11.
Li, Yuhong, Haiting Liu, Jing Xu, et al.. (2018). The value of detection of S100A8 and ASAH1 in predicting the chemotherapy response for breast cancer patients. Human Pathology. 74. 156–163. 16 indexed citations
12.
Liu, Haiting, Yawen Wang, Ai‐Yan Xing, et al.. (2017). Prognostic Value of microRNA Signature in Patients with Gastric Cancers. Scientific Reports. 7(1). 42806–42806. 14 indexed citations
13.
Xu, Chen, Yawen Wang, Ai‐Yan Xing, et al.. (2016). Suppression of SPIN1‐mediated PI3K–Akt pathway by miR‐489 increases chemosensitivity in breast cancer. The Journal of Pathology. 239(4). 459–472. 99 indexed citations
14.
Shi, Duan‐Bo, Ya‐Wen Wang, Ai‐Yan Xing, et al.. (2015). C/EBPα-induced miR-100 expression suppresses tumor metastasis and growth by targeting ZBTB7A in gastric cancer. Cancer Letters. 369(2). 376–385. 56 indexed citations
15.
Liu, Haiting, Ai‐Yan Xing, Xu Chen, et al.. (2015). MicroRNA-27b, microRNA-101 and microRNA-128 inhibit angiogenesis by down-regulating vascular endothelial growth factor C expression in gastric cancers. Oncotarget. 6(35). 37458–37470. 77 indexed citations
16.
Zhang, Hui, et al.. (2015). Diagnostic value of miRNA‐96‐5p/3p in dysplastic nodules and well‐differentiated small hepatocellular carcinoma. Hepatology Research. 46(8). 784–793. 6 indexed citations
17.
Xing, Ai‐Yan, Bin Wang, Duan‐Bo Shi, et al.. (2013). Deregulated expression of miR-145 in manifold human cancer cells. Experimental and Molecular Pathology. 95(1). 91–97. 34 indexed citations
18.
Xing, Ai‐Yan, Duan‐Bo Shi, Wei Liu, et al.. (2013). Restoration of chemosensitivity in cancer cells with MDR phenotype by deoxyribozyme, compared with ribozyme. Experimental and Molecular Pathology. 94(3). 481–485. 14 indexed citations
19.
Wang, Bin, Guangxin Li, Shuguang Zhang, et al.. (2011). Biglycan expression correlates with aggressiveness and poor prognosis of gastric cancer. Experimental Biology and Medicine. 236(11). 1247–1253. 53 indexed citations
20.
Gao, Peng, Jishu Wei, Ping Li, et al.. (2010). Screening of deoxyribozyme with high reversal efficiency against multidrug resistance in breast carcinoma cells. Journal of Cellular and Molecular Medicine. 15(10). 2130–2138. 6 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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