Xiaoling Zhao

845 total citations
23 papers, 592 citations indexed

About

Xiaoling Zhao is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Xiaoling Zhao has authored 23 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Xiaoling Zhao's work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (5 papers). Xiaoling Zhao is often cited by papers focused on MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (6 papers) and Cancer-related molecular mechanisms research (5 papers). Xiaoling Zhao collaborates with scholars based in China, Canada and United States. Xiaoling Zhao's co-authors include Guisheng Song, Clifford J. Steer, Tianpeng Zhang, Zhenying Shi, Guohua Zheng, Xiaomei Wang, Junqi Niu, Zhuoyu Li, Junjie Hu and Zhengyan Dai and has published in prestigious journals such as Journal of the American College of Cardiology, PLANT PHYSIOLOGY and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Xiaoling Zhao

23 papers receiving 589 citations

Peers

Xiaoling Zhao

EPIDE

PHYSI

Frédéric Martins France

Bin Xue China

Yunshin Jung United States

Lan Zhong China

Yan‐Jiun Huang Taiwan

Zijian Guo China

Peihong Zhou United States

Yuhan Meng China

Fengyan Deng United States

Caroline Kamaté France

Frédéric Martins France

Xiaoling Zhao

392 ×1.2

225 ×1.4

58 ×0.5

EPIDE

90 ×0.8

102 ×1.3

PHYSI

Citations per year, relative to Xiaoling Zhao Xiaoling Zhao (= 1×) peers Frédéric Martins

Countries citing papers authored by Xiaoling Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoling Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Zhao

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

All Works

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20 of 20 papers shown

Wang, Simin, Zhi Wang, Nan Wang, et al.. (2025). Efficient conversion of corn straw to feed protein through solid-state fermentation using a thermophilic microbial consortium. Waste Management. 194. 298–308. 8 indexed citations

Wang, Shilei, Nan Wang, Zhi Wang, et al.. (2024). Three-Stage Solid-State Fermentation Technology for Distillers’ Grain Feed Protein Based on Different Microorganisms Considering Oxygen Requirements. Fermentation. 10(11). 550–550. 2 indexed citations

Zhang, He, et al.. (2023). Comprehensive analysis of PHGDH for predicting prognosis and immunotherapy response in patients with endometrial carcinoma. BMC Medical Genomics. 16(1). 29–29. 6 indexed citations

Zhang, He, et al.. (2023). Telomere-related genes as potential biomarkers to predict endometriosis and immune response: Development of a machine learning-based risk model. Frontiers in Medicine. 10. 1132676–1132676. 6 indexed citations

Sim, Jordan, Xiaoling Zhao, Alix Denoncourt, et al.. (2022). Hmgcs2-mediated ketogenesis modulates high-fat diet-induced hepatosteatosis. Molecular Metabolism. 61. 101494–101494. 64 indexed citations

Zheng, Wei, et al.. (2022). Identification of hub genes associated with bladder cancer using bioinformatic analyses. Translational Cancer Research. 11(5). 1330–1343. 8 indexed citations

Lan, Zhangzhang, et al.. (2022). Comprehensive bioinformatics analysis of functional molecules in colorectal cancer. Journal of Gastrointestinal Oncology. 13(1). 231–245. 12 indexed citations

Zhang, He, et al.. (2022). Surgical Staging of Locally Advanced Cervical Cancer: Current Status and Research Progress. Frontiers in Oncology. 12. 940807–940807. 6 indexed citations

Liu, Yan, Jun Wei, Chao Wang, et al.. (2022). MicroRNA-543 controls pancreatic cancer development by LINC00847-microRNA-543-STK31 axis. Journal of Gastrointestinal Oncology. 13(6). 3263–3277. 1 indexed citations

10.

Yang, Xiaofang, et al.. (2021). OsmiR396/growth regulating factor modulate rice grain size through direct regulation of embryo-specific miR408. PLANT PHYSIOLOGY. 186(1). 519–533. 50 indexed citations

11.

Zhang, Tianpeng, Hongtao Shi, Ningning Liu, et al.. (2020). Activation of microRNA-378a-3p biogenesis promotes hepatic secretion of VLDL and hyperlipidemia by modulating ApoB100-Sortilin1 axis. Theranostics. 10(9). 3952–3966. 14 indexed citations

12.

Yang, Xiaofang, Jiang Wang, Zhengyan Dai, et al.. (2019). miR156f integrates panicle architecture through genetic modulation of branch number and pedicel length pathways. Rice. 12(1). 40–40. 19 indexed citations

13.

Yang, Yuemei, et al.. (2018). miR‐93‐5p may be an important oncogene in prostate cancer by bioinformatics analysis. Journal of Cellular Biochemistry. 120(6). 10463–10483. 26 indexed citations

14.

Zhang, Tianpeng, Junjie Hu, Xiaomei Wang, et al.. (2018). MicroRNA-378 promotes hepatic inflammation and fibrosis via modulation of the NF-κB-TNFα pathway. Journal of Hepatology. 70(1). 87–96. 155 indexed citations

15.

Zhang, Tianpeng, Xiaoling Zhao, Clifford J. Steer, Guiqin Yan, & Guisheng Song. (2018). A negative feedback loop between microRNA-378 and Nrf1 promotes the development of hepatosteatosis in mice treated with a high fat diet. Metabolism. 85. 183–191. 35 indexed citations

16.

Yang, Yuemei, Xiaoling Zhao, Yu Xiao, et al.. (2018). How hsa‐miR‐495 performed in the tumorigenesis of pancreatic adenocarcinoma by bioinformatics analysis. Journal of Cellular Biochemistry. 120(5). 7802–7813. 3 indexed citations

17.

Raizman, Joshua E., Yong‐Xiang Chen, Tara Seibert, et al.. (2013). Heat shock protein-27 attenuates foam cell formation and atherogenesis by down-regulating scavenger receptor-A expression via NF-κB signaling. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1831(12). 1721–1728. 24 indexed citations

18.

Seibert, Tara, Benjamin Hibbert, Yong-Xiang Chen, et al.. (2013). Serum Heat Shock Protein 27 Levels Represent a Potential Therapeutic Target for Atherosclerosis. Journal of the American College of Cardiology. 62(16). 1446–1454. 52 indexed citations

19.

Zhao, Xiaoling, Zhenying Shi, Lingtao Peng, Ge‐Zhi Shen, & Jing‐Liu Zhang. (2011). An atypical HLH protein OsLF in rice regulates flowering time and interacts with OsPIL13 and OsPIL15. New Biotechnology. 28(6). 788–797. 31 indexed citations

20.

Ma, Xiaoli, Benjamin Hibbert, Tara Seibert, et al.. (2010). Delayed re-endothelialization with rapamycin-coated stents is rescued by the addition of a glycogen synthase kinase-3β inhibitor. Cardiovascular Research. 86(2). 338–345. 38 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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