An Zhao

2.6k total citations · 1 hit paper
68 papers, 1.9k citations indexed

About

An Zhao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, An Zhao has authored 68 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 31 papers in Pulmonary and Respiratory Medicine and 20 papers in Cancer Research. Recurrent topics in An Zhao's work include Renal cell carcinoma treatment (13 papers), Renal and related cancers (9 papers) and Cancer-related molecular mechanisms research (8 papers). An Zhao is often cited by papers focused on Renal cell carcinoma treatment (13 papers), Renal and related cancers (9 papers) and Cancer-related molecular mechanisms research (8 papers). An Zhao collaborates with scholars based in China, France and United States. An Zhao's co-authors include Yang Liu, Michel Péoc’h, Ye Ma, Christian Genin, Guorong Li, Yang Zou, Yiming Jin, Xinxin Wang, Xiang Xue and Zhuo Liu and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

An Zhao

64 papers receiving 1.9k citations

Hit Papers

In Vivo Self-Powered Wireless Cardiac Monitoring via Impl... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
An Zhao China 20 803 718 531 375 373 68 1.9k
Jingjing Jing China 23 465 0.6× 359 0.5× 224 0.4× 264 0.7× 149 0.4× 70 1.7k
Jingxiao Wang China 23 551 0.7× 397 0.6× 241 0.5× 84 0.2× 46 0.1× 71 1.7k
Yu‐Chen Liu Taiwan 16 677 0.8× 416 0.6× 366 0.7× 90 0.2× 46 0.1× 61 1.6k
Weiping Ji China 18 246 0.3× 455 0.6× 146 0.3× 73 0.2× 165 0.4× 62 1.2k
Ze-Kun Liu China 16 276 0.3× 371 0.5× 130 0.2× 71 0.2× 167 0.4× 41 849
Satoshi Honda Japan 24 404 0.5× 213 0.3× 89 0.2× 229 0.6× 228 0.6× 157 2.1k
Masanori Okamoto Japan 26 705 0.9× 734 1.0× 201 0.4× 264 0.7× 40 0.1× 87 2.3k
Hongyu Jin China 17 135 0.2× 343 0.5× 70 0.1× 128 0.3× 206 0.6× 51 946
Yameng Xu China 16 610 0.8× 403 0.6× 307 0.6× 63 0.2× 64 0.2× 57 1.8k
Wen Shi United States 27 938 1.2× 790 1.1× 311 0.6× 119 0.3× 57 0.2× 62 2.6k

Countries citing papers authored by An Zhao

Since Specialization
Citations

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

Fields of papers citing papers by An Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of An Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of An Zhao. A scholar is included among the top collaborators of An 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 An Zhao. An Zhao 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.
Shen, Wen‐Hui, Xuping Yang, Yutian Zhang, et al.. (2025). Senescent macrophages in tumor: phenotypes, roles, and interventions. Cell Death and Disease. 16(1). 677–677.
2.
Wang, Jiahui, et al.. (2025). Insights into the characteristics of cancer incidence in China. Science China Life Sciences. 68(5). 1512–1515.
3.
Zhao, An, Changjun Huang, Minghao Li, et al.. (2025). EMC3 as a Novel Biomarker and Driver of PI3K/AKT/mTOR Signaling in Hepatocellular Carcinoma Progression. Annals of Surgical Oncology. 33(3). 2169–2188.
4.
Li, Bo, Ren Liu, Qiao‐Li Lv, et al.. (2024). NRF2 signaling plays an essential role in cancer progression through the NRF2-GPX2-NOTCH3 axis in head and neck squamous cell carcinoma. Oncogenesis. 13(1). 35–35. 1 indexed citations
5.
Wang, Jiahui, Xuping Yang, Xuemei Ye, et al.. (2024). Exosomes in malignant pleural effusions: Sources and applications. Chinese Medical Journal. 137(11). 1381–1383. 1 indexed citations
6.
Liu, Xuefei, Changchun Wang, Qiao‐Li Lv, et al.. (2024). Abnormal Cellular Populations Shape Thymic Epithelial Tumor Heterogeneity and Anti‐Tumor by Blocking Metabolic Interactions in Organoids. Advanced Science. 11(42). e2406653–e2406653. 3 indexed citations
7.
Zhao, An, et al.. (2023). Risk factors for in-hospital mortality after total arch procedure in patients with acute type A aortic dissection. Frontiers in Cardiovascular Medicine. 10. 1149907–1149907. 2 indexed citations
8.
Zhang, Di, Huiqin Li, Xuefei Liu, et al.. (2022). TIGER: A Web Portal of Tumor Immunotherapy Gene Expression Resource. Genomics Proteomics & Bioinformatics. 21(2). 337–348. 73 indexed citations
9.
Dong, Juan, Changquan Guo, Shuo Zhou, et al.. (2022). Leukemia inhibitory factor prevents chicken follicular atresia through PI3K/AKT and Stat3 signaling pathways. Molecular and Cellular Endocrinology. 543. 111550–111550. 13 indexed citations
10.
Zhou, Shuo, An Zhao, Yangyang Wu, Yuling Mi, & Caiqiao Zhang. (2022). Protective Effect of Grape Seed Proanthocyanidins on Oxidative Damage of Chicken Follicular Granulosa Cells by Inhibiting FoxO1-Mediated Autophagy. Frontiers in Cell and Developmental Biology. 10. 762228–762228. 16 indexed citations
11.
Liu, Xuefei, Xu Han, Guorong Li, et al.. (2022). Comprehensive Evaluation of the m6A Regulator Prognostic Risk Score in the Prediction of Immunotherapy Response in Clear Cell Renal Cell Carcinoma. Frontiers in Immunology. 13. 818120–818120. 6 indexed citations
12.
Zhang, Feng, Zhihong Liu, Yuying Huang, et al.. (2020). Thyroid Hormone Changes in Euthyroid Patients with Diabetes. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Lu, Fanglin, Fan Qiao, An Zhao, et al.. (2020). A radial force-independent bioprosthesis for transcatheter tricuspid valve implantation in a preclinical model. International Journal of Cardiology. 319. 120–126. 10 indexed citations
14.
Zhao, An, Mengwei Tan, Zhigang Song, et al.. (2019). Retrograde Type A Dissection after Ascending Aorta Involved Endovascular Repair and Its Surgical Repair with Stented Elephant Trunk. Annals of Vascular Surgery. 58. 198–204.e1. 6 indexed citations
15.
Zhao, An, Fan Qiao, Qijue Lu, et al.. (2017). Interleukin-6 downregulated vascular smooth muscle cell contractile proteins via ATG4B-mediated autophagy in thoracic aortic dissection. Heart and Vessels. 32(12). 1523–1535. 30 indexed citations
17.
Gigante, Marc, Guorong Li, Céline Ferlay, et al.. (2012). Prognostic value of serum CA9 in patients with metastatic clear cell renal cell carcinoma under targeted therapy.. PubMed. 32(12). 5447–51. 21 indexed citations
18.
Li, Guorong, Gang Feng, Muriel Cuilleron, et al.. (2009). CA9 level in renal cyst fluid: a possible molecular diagnosis of malignant tumours. Histopathology. 54(7). 880–884. 5 indexed citations
19.
Zhao, An. (2005). Disease Risks of Childhood Obesity in China. 1 indexed citations
20.
Zhang, Jie, Zheng Li, An Zhao, et al.. (2003). Identification of anti-TNFα peptides with consensus sequence. Biochemical and Biophysical Research Communications. 310(4). 1181–1187. 15 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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