Yaolin Xu

457 total citations
24 papers, 293 citations indexed

About

Yaolin Xu is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Yaolin Xu has authored 24 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 8 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Yaolin Xu's work include Pancreatic and Hepatic Oncology Research (10 papers), Neuroendocrine Tumor Research Advances (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Yaolin Xu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (10 papers), Neuroendocrine Tumor Research Advances (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Yaolin Xu collaborates with scholars based in China, Canada and United States. Yaolin Xu's co-authors include Wenhui Lou, Ning Li, Xiaoye Zhang, Wenchuan Wu, Qiang Fu, Lijie He, Xu Han, Yueming Zhang, Si Shi and Yi Qin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Advanced Science.

In The Last Decade

Yaolin Xu

20 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaolin Xu China 9 139 123 113 56 51 24 293
Vignesh Viswanathan United States 11 94 0.7× 159 1.3× 113 1.0× 49 0.9× 18 0.4× 32 344
Lixin Wu China 12 95 0.7× 176 1.4× 99 0.9× 26 0.5× 33 0.6× 29 341
Pan Chen China 5 138 1.0× 122 1.0× 71 0.6× 115 2.1× 19 0.4× 14 350
Yanna Ba China 9 151 1.1× 166 1.3× 163 1.4× 22 0.4× 45 0.9× 16 346
Laurence Servais Belgium 7 54 0.4× 91 0.7× 77 0.7× 33 0.6× 28 0.5× 10 256
Simiao Xu China 9 73 0.5× 231 1.9× 111 1.0× 22 0.4× 44 0.9× 25 337
Adrien Costantini France 10 279 2.0× 120 1.0× 73 0.6× 95 1.7× 26 0.5× 25 402
Jiangdong Qiu China 13 187 1.3× 168 1.4× 138 1.2× 62 1.1× 58 1.1× 32 365
Shuang Mo China 7 81 0.6× 218 1.8× 96 0.8× 48 0.9× 12 0.2× 7 312
Masashi Kitazawa Japan 9 157 1.1× 96 0.8× 55 0.5× 108 1.9× 23 0.5× 12 341

Countries citing papers authored by Yaolin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Yaolin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaolin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Yaolin Xu. A scholar is included among the top collaborators of Yaolin Xu 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 Yaolin Xu. Yaolin Xu 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.
Zhang, Zheng, Huaxiang Xu, Junyi He, et al.. (2025). Inhibition of KLF5 promotes ferroptosis via the ZEB1/HMOX1 axis to enhance sensitivity to oxaliplatin in cancer cells. Cell Death and Disease. 16(1). 28–28. 6 indexed citations
2.
3.
Yin, Hanlin, Qiangda Chen, Yaolin Xu, et al.. (2025). The Evolutionary Trajectory and Prognostic Value of GITR+ Tregs Reprogramed by Tumor‐Intrinsic PD‐1/c‐MET Signaling in Pancreatic Cancer. Advanced Science. 12(36). e00806–e00806. 1 indexed citations
4.
5.
Zhang, Yueming, Yaolin Xu, Liang Liu, et al.. (2025). Pancreatic surgery is safe in elderly patients with PDAC. BMC Geriatrics. 25(1). 438–438.
6.
Song, Chao, Mengmeng Liu, Ganggang Wang, et al.. (2024). BMP6 inhibits gastric cancer growth and predicts good prognosis. Journal of Gastrointestinal Oncology. 15(1). 22–32.
7.
8.
Xu, Yaolin, Yueming Zhang, Dayong Jin, et al.. (2022). Prognostic Effect of Age in Resected Pancreatic Cancer Patients: A Propensity Score Matching Analysis. Frontiers in Oncology. 12. 789351–789351. 12 indexed citations
9.
Han, Xu, Yuan Fang, Pingping Chen, et al.. (2021). Upregulated circRNA hsa_circ_0071036 promotes tumourigenesis of pancreatic cancer by sponging miR-489 and predicts unfavorable characteristics and prognosis. Cell Cycle. 20(4). 369–382. 30 indexed citations
10.
Xu, Yaolin, et al.. (2021). Metabolic Reprogramming in the Tumor Microenvironment With Immunocytes and Immune Checkpoints. Frontiers in Oncology. 11. 759015–759015. 28 indexed citations
11.
Chen, Wannan, Yaolin Xu, Yueming Zhang, Wenhui Lou, & Xiaodan Han. (2021). Positive Impact of Intraoperative Epidural Ropivacaine Infusion on Oncologic Outcomes in Pancreatic Cancer Patients Undergoing Pancreatectomy: A Retrospective Cohort Study. Journal of Cancer. 12(15). 4513–4521. 7 indexed citations
12.
Wu, Lili, Yaolin Xu, Zhao‐Chong Zeng, et al.. (2021). Efficacy and safety of S-1 based adjuvant chemoradiotherapy for resected pancreatic ductal adenocarcinoma with high-risk pathological feature: a prospective, single-arm, interventional study. SHILAP Revista de lepidopterología. 5(1). 18–26. 1 indexed citations
13.
Zhang, Yueming, Yaolin Xu, Dansong Wang, et al.. (2020). Prognostic value of preoperative glucose to lymphocyte ratio in patients with resected pancreatic cancer. International Journal of Clinical Oncology. 26(1). 135–144. 25 indexed citations
14.
Xu, Yaolin, Peng Yuan, Chunhui Jin, et al.. (2019). Metformin inhibited pancreatic cancer growth by upregulating miR-143/145 cluster and suppressing MAPK signaling pathway. HPB. 21. S257–S258. 1 indexed citations
15.
Pu, Ning, Yaolin Xu, Yuan Fang, et al.. (2018). Comparison of prognostic prediction between nomogram based on lymph node ratio and AJCC 8th staging system for patients with resected pancreatic head carcinoma: a SEER analysis. Cancer Management and Research. Volume 10. 227–238. 37 indexed citations
16.
Xu, Yaolin, Xi Guo, Yue Fan, et al.. (2018). Efficacy and safety comparison of nabpaclitaxel plus S-1 and gemcitabine plus S-1 as first-line chemotherapy for metastatic pancreatic cancer. Japanese Journal of Clinical Oncology. 48(6). 535–541. 7 indexed citations
17.
Yang, Fuming, et al.. (2018). β1,6 GlcNAc branches-modified protein tyrosine phosphatase Mu attenuates its tyrosine phosphatase activity and promotes glioma cell migration through PLCγ-PKC pathways. Biochemical and Biophysical Research Communications. 505(2). 569–577. 3 indexed citations
18.
Xu, Yaolin, Fulin Xu, Yan Gao, et al.. (2016). N‐Glycosylation at Asn 402 Stabilizes N‐Cadherin and Promotes Cell–Cell Adhesion of Glioma Cells. Journal of Cellular Biochemistry. 118(6). 1423–1431. 17 indexed citations
19.
Yang, Fuming, et al.. (2016). β1,6 GlcNAc branches-modified protein tyrosine phosphatase alpha enhances its stability and promotes focal adhesion formation in MCF-7 cells. Biochemical and Biophysical Research Communications. 482(4). 1455–1461. 5 indexed citations
20.
Shi, Si, Lu Yu, Yi Qin, et al.. (2014). miR-1247 is Correlated with Prognosis of Pancreatic Cancer and Inhibits Cell Proliferation by Targeting Neuropilins. Current Molecular Medicine. 14(3). 316–327. 50 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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