Xiaoling She

1.6k total citations
46 papers, 1.2k citations indexed

About

Xiaoling She is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaoling She has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 15 papers in Cancer Research and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaoling She's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers) and Sarcoma Diagnosis and Treatment (7 papers). Xiaoling She is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers) and Sarcoma Diagnosis and Treatment (7 papers). Xiaoling She collaborates with scholars based in China, United States and Uganda. Xiaoling She's co-authors include Guiyuan Li, Minghua Wu, Guohua Lv, Ming‐Xiang Zou, Yi Jiang, Peiyao Li, Changhong Liu, Yingnan Sun, Jing Li and Zhibin Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Scientific Reports.

In The Last Decade

Xiaoling She

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling She China 23 695 579 246 218 180 46 1.2k
Yoshiya Shimao Japan 15 508 0.7× 246 0.4× 168 0.7× 77 0.4× 80 0.4× 43 1.2k
Miki Hashimura Japan 23 731 1.1× 255 0.4× 132 0.5× 169 0.8× 23 0.1× 56 1.4k
Ester Alvino Italy 17 500 0.7× 280 0.5× 100 0.4× 106 0.5× 85 0.5× 35 813
A. K. El-Naggar United States 15 692 1.0× 221 0.4× 163 0.7× 279 1.3× 45 0.3× 24 1.5k
Laura Pazzaglia Italy 22 553 0.8× 404 0.7× 467 1.9× 58 0.3× 254 1.4× 51 1.1k
Lúcia Roque Portugal 24 506 0.7× 199 0.3× 153 0.6× 63 0.3× 27 0.1× 49 1.5k
Dali Huang United States 13 283 0.4× 119 0.2× 268 1.1× 175 0.8× 86 0.5× 18 777
Wim J.M. Van de Ven Belgium 11 459 0.7× 164 0.3× 216 0.9× 38 0.2× 107 0.6× 12 1.0k
Koroku Kato Japan 22 466 0.7× 250 0.4× 100 0.4× 125 0.6× 38 0.2× 51 1.1k
Brett N. Tomson United States 14 825 1.2× 204 0.4× 409 1.7× 51 0.2× 73 0.4× 17 1.4k

Countries citing papers authored by Xiaoling She

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling She

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling She. A scholar is included among the top collaborators of Xiaoling She 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 Xiaoling She. Xiaoling She 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.
Gao, Wei, Jianliang Huang, Xuetong Li, et al.. (2025). Endothelial cells sense temozolomide resistance to facilitate monocyte-derived macrophage infiltration in glioblastoma. Drug Resistance Updates. 84. 101329–101329.
2.
Yang, Fengtao, et al.. (2025). A High-Sensitive Online Tj Extracting Method Based on Electrothermal Interaction and Linear-Mode Current Response for Power MOSFET Devices. IEEE Transactions on Power Electronics. 40(7). 9357–9369.
3.
4.
Gao, Wei, et al.. (2024). Procyanidin B1 Promotes PSMC3‐NRF2 Ubiquitination to Induce Ferroptosis in Glioblastoma. Phytotherapy Research. 38(12). 5583–5597. 5 indexed citations
5.
Wang, Qingyi, Bin Xie, Zisheng Li, et al.. (2024). An Investigation of the Immune Microenvironment and Genome during Lung Adenocarcinoma Development. Journal of Cancer. 15(6). 1687–1700. 1 indexed citations
6.
Lv, Guohua, Ming‐Xiang Zou, Fusheng Liu, et al.. (2019). Clinicopathological and Prognostic Characteristics in Extra-Axial Chordomas: An Integrative Analysis of 86 Cases and Comparison With Axial Chordomas. Neurosurgery. 85(3). E527–E542. 15 indexed citations
7.
Zou, Ming‐Xiang, Fusheng Liu, Xiaobin Wang, et al.. (2019). The Relationship Between Tumor-Stroma Ratio, the Immune Microenvironment, and Survival in Patients With Spinal Chordoma. Neurosurgery. 85(6). E1095–E1110. 36 indexed citations
8.
Zou, Ming‐Xiang, Guohua Lv, Xiaobin Wang, et al.. (2018). Clinical Impact of the Immune Microenvironment in Spinal Chordoma: Immunoscore as an Independent Favorable Prognostic Factor. Neurosurgery. 84(6). E318–E333. 38 indexed citations
9.
Liu, Changhong, Haijuan Fu, Xiaoping Liu, et al.. (2018). LINC00470 Coordinates the Epigenetic Regulation of ELFN2 to Distract GBM Cell Autophagy. Molecular Therapy. 26(9). 2267–2281. 55 indexed citations
10.
Feng, Jianbo, Haijuan Fu, Changhong Liu, et al.. (2018). Coagulation Factor X Regulated by CASC2c Recruited Macrophages and Induced M2 Polarization in Glioblastoma Multiforme. Frontiers in Immunology. 9. 1557–1557. 51 indexed citations
11.
Liu, Changhong, Yan Zhang, Xiaoling She, et al.. (2018). A cytoplasmic long noncoding RNA LINC00470 as a new AKT activator to mediate glioblastoma cell autophagy. Journal of Hematology & Oncology. 11(1). 77–77. 72 indexed citations
12.
Liu, Changhong, Yingnan Sun, Xiaoling She, et al.. (2017). CASC2c as an unfavorable prognosis factor interacts with miR-101 to mediate astrocytoma tumorigenesis. Cell Death and Disease. 8(3). e2639–e2639. 29 indexed citations
13.
Zhou, Yefang, et al.. (2016). PRL-3 Is Involved in Estrogen- and IL-6–Induced Migration of Endometrial Stromal Cells From Ectopic Endometrium. Reproductive Sciences. 24(1). 124–132. 7 indexed citations
14.
Wang, Zeyou, Qin Guo, Rong Wang, et al.. (2016). The D Domain of LRRC4 anchors ERK1/2 in the cytoplasm and competitively inhibits MEK/ERK activation in glioma cells. Journal of Hematology & Oncology. 9(1). 130–130. 32 indexed citations
15.
She, Xiaoling, Zhibin Yu, Qianqian Lei, et al.. (2014). miR-181 subunits enhance the chemosensitivity of temozolomide by Rap1B-mediated cytoskeleton remodeling in glioblastoma cells. Medical Oncology. 31(4). 892–892. 45 indexed citations
16.
She, Xiaoling, Zhibin Yu, Qianqian Lei, et al.. (2014). miR-128 and miR-149 enhance the chemosensitivity of temozolomide by Rap1B-mediated cytoskeletal remodeling in glioblastoma. Oncology Reports. 32(3). 957–964. 52 indexed citations
17.
18.
Huang, Chen, Hailin Tang, Wenling Zhang, et al.. (2012). Integrated Analysis of Multiple Gene Expression Profiling Datasets Revealed Novel Gene Signatures and Molecular Markers in Nasopharyngeal Carcinoma. Cancer Epidemiology Biomarkers & Prevention. 21(1). 166–175. 17 indexed citations
19.
Jiang, Yan, et al.. (2012). Antimicrobial activities of recombinant mouse β-defensin 3 and its synergy with antibiotics. Journal of Materials Science Materials in Medicine. 23(7). 1723–1728. 11 indexed citations
20.
Luo, Zhaohui, Yafei Dai, Jiang Chen, et al.. (2012). miR-18a promotes malignant progression by impairing microRNA biogenesis in nasopharyngeal carcinoma. Carcinogenesis. 34(2). 415–425. 95 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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