Xiaoling Luo

1.4k total citations
43 papers, 925 citations indexed

About

Xiaoling Luo is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Xiaoling Luo has authored 43 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Immunology and 11 papers in Oncology. Recurrent topics in Xiaoling Luo's work include Epigenetics and DNA Methylation (5 papers), Immune Cell Function and Interaction (5 papers) and MicroRNA in disease regulation (4 papers). Xiaoling Luo is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Immune Cell Function and Interaction (5 papers) and MicroRNA in disease regulation (4 papers). Xiaoling Luo collaborates with scholars based in China, United States and Canada. Xiaoling Luo's co-authors include Ke Cui, M.R. Ven Murthy, Keyi Xu, Jeffrey Schlom, Karin M. Knudson, Jin‐Qiu Chen, Kristin C. Hicks, Sofia R. Gameiro, Rong Liang and Siyu Liu and has published in prestigious journals such as PLoS ONE, Cancer Research and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Xiaoling Luo

39 papers receiving 899 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 Luo China 15 411 250 143 142 72 43 925
Hana Jin South Korea 21 512 1.2× 189 0.8× 155 1.1× 134 0.9× 56 0.8× 33 964
Siamak Salami Iran 19 557 1.4× 188 0.8× 104 0.7× 176 1.2× 86 1.2× 63 1.1k
Sarmistha Banerjee United States 12 627 1.5× 206 0.8× 92 0.6× 198 1.4× 71 1.0× 27 1.1k
Bedia Çakmakoğlu Türkiye 19 480 1.2× 210 0.8× 152 1.1× 111 0.8× 38 0.5× 76 961
Weiwei Tao China 20 555 1.4× 136 0.5× 179 1.3× 144 1.0× 52 0.7× 37 1.1k
Yuxin Li China 22 643 1.6× 151 0.6× 143 1.0× 163 1.1× 52 0.7× 68 1.2k
Xueting Deng China 14 447 1.1× 174 0.7× 110 0.8× 196 1.4× 79 1.1× 28 1.1k
Nina Xue China 18 508 1.2× 143 0.6× 154 1.1× 94 0.7× 51 0.7× 46 896
Joon‐Suk Park South Korea 17 337 0.8× 161 0.6× 89 0.6× 91 0.6× 101 1.4× 45 786

Countries citing papers authored by Xiaoling Luo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoling Luo. A scholar is included among the top collaborators of Xiaoling Luo 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 Luo. Xiaoling Luo 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.
Wu, Xiaoguang, Qin-Kun Li, Xiao‐Tian Liang, et al.. (2025). Comprehensive Evaluation and Screening of Autumn-Sown Oat (Avena sativa L.) Germplasm in Different Agropastoral Regions. Agronomy. 15(4). 994–994.
2.
Chen, Meifeng, et al.. (2025). Donafenib activates the p53 signaling pathway in hepatocellular carcinoma, induces ferroptosis, and enhances cell apoptosis. Clinical and Experimental Medicine. 25(1). 29–29. 4 indexed citations
3.
Luo, Xiaoling, et al.. (2025). Multifunctional nanoplatform for tumor chemodynamic and self-amplified photodynamic cascade therapy. Journal of Advanced Research. 79. 721–736.
4.
Han, Chuangye, et al.. (2024). Advancements in programmed cell death research in antitumor therapy: a comprehensive overview. APOPTOSIS. 30(1-2). 401–421. 7 indexed citations
5.
Zeng, Ming, et al.. (2024). Stereotactic Radiotherapy vs. Whole Brain Radiation Therapy in EGFR Mutated NSCLC: Results and Reflections from the Prematurely Closed Phase III HYBRID Trial. International Journal of Radiation Oncology*Biology*Physics. 120(2). e294–e294.
6.
Fang, Dalang, Shuqi Zhao, Tingdong Yu, et al.. (2022). Down regulated oncogene KIF2C inhibits growth, invasion, and metastasis of hepatocellular carcinoma through the Ras/MAPK signaling pathway and epithelial-to-mesenchymal transition. Annals of Translational Medicine. 10(3). 151–151. 24 indexed citations
8.
Liang, Rong, Jinyan Zhang, Zhihui Liu, et al.. (2021). Mechanism and Molecular Network of RBM8A-Mediated Regulation of Oxaliplatin Resistance in Hepatocellular Carcinoma. Frontiers in Oncology. 10. 585452–585452. 15 indexed citations
9.
Zhong, Huage, et al.. (2020). ARMCX Family Gene Expression Analysis and Potential Prognostic Biomarkers for Prediction of Clinical Outcome in Patients with Gastric Carcinoma. BioMed Research International. 2020(1). 3575038–3575038. 9 indexed citations
10.
Tang, Yanping, et al.. (2020). Global transcriptomic study of circRNAs expression profile in sorafenib resistant hepatocellular carcinoma cells. Journal of Cancer. 11(10). 2993–3001. 27 indexed citations
11.
Takai, Atsushi, Hien Dang, Naoki Oishi, et al.. (2019). Genome-Wide RNAi Screen Identifies PMPCB as a Therapeutic Vulnerability in EpCAM+ Hepatocellular Carcinoma. Cancer Research. 79(9). 2379–2391. 23 indexed citations
12.
Wang, Ying, Xiaoling Luo, Siyu Liu, et al.. (2017). Apoptotic Protease Activating Factor‐1 Inhibitor Mitigates Myocardial Ischemia Injury via Disturbing Procaspase‐9 Recruitment by Apaf‐1. Oxidative Medicine and Cellular Longevity. 2017(1). 9747296–9747296. 8 indexed citations
13.
Ye, Jiazhou, Shumei Yan, Chunling Yuan, et al.. (2017). GP73 level determines chemotherapeutic resistance in human hepatocellular carcinoma cells. Journal of Cancer. 9(2). 415–423. 19 indexed citations
14.
Wang, Yuhuan, et al.. (2017). Synergy of purine-scaffold TLR7 agonist with doxorubicin on systemic inhibition of lymphoma in mouse model. Journal of Cancer. 8(16). 3183–3189. 10 indexed citations
15.
Cao, Jingsong, et al.. (2016). Influence of autologous dendritic cells on cytokine-induced killer cell proliferation, cell phenotype and antitumor activity in vitro. Oncology Letters. 12(3). 2033–2037. 55 indexed citations
16.
Pan, Li‐Long, Qiuyang Zhang, Xiaoling Luo, et al.. (2016). (7R,8S)-9-Acetyl-dehydrodiconiferyl alcohol inhibits inflammation and migration in lipopolysaccharide-stimulated macrophages. Phytomedicine. 23(5). 541–549. 14 indexed citations
17.
Luo, Xiaoling, Siyu Liu, Lijun Wang, et al.. (2016). A tetramethoxychalcone from Chloranthus henryi suppresses lipopolysaccharide-induced inflammatory responses in BV2 microglia. European Journal of Pharmacology. 774. 135–143. 27 indexed citations
18.
Cao, Jingsong, Weiguo Yin, Cong Chen, & Xiaoling Luo. (2014). [Effects of autologous plasma and gentamicin on immunophenotype and viability of cytokine-induced killer cells].. PubMed. 30(9). 906–8. 2 indexed citations
19.
Yang, Wanzhang, Yun Zhang, Fang Wu, et al.. (2010). Safety evaluation of allogeneic umbilical cord blood mononuclear cell therapy for degenerative conditions. Journal of Translational Medicine. 8(1). 75–75. 50 indexed citations
20.
Su, Jianjia, Chun Yang, Yuan Li, et al.. (1999). Expression of ras gene in experimental hepatocarcinogenesis in tree shrews. Chinese Journal of Cancer Research. 11(1). 23–25. 1 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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