Jia Zhou

2.0k total citations
43 papers, 1.7k citations indexed

About

Jia Zhou is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Jia Zhou has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Biomedical Engineering and 7 papers in Biomaterials. Recurrent topics in Jia Zhou's work include Nanoplatforms for cancer theranostics (7 papers), Nanoparticle-Based Drug Delivery (6 papers) and Drug Solubulity and Delivery Systems (5 papers). Jia Zhou is often cited by papers focused on Nanoplatforms for cancer theranostics (7 papers), Nanoparticle-Based Drug Delivery (6 papers) and Drug Solubulity and Delivery Systems (5 papers). Jia Zhou collaborates with scholars based in China, United States and Singapore. Jia Zhou's co-authors include Wan-Liang Lü, Rui-Jun Ju, Weiyu Zhao, Cheng-Xiang Zhang, Lin Li, Si Si Liew, Shao Q. Yao, Xiaofei Qin, Wei Huang and Xu Ma and has published in prestigious journals such as Angewandte Chemie International Edition, Gastroenterology and Biomaterials.

In The Last Decade

Jia Zhou

41 papers receiving 1.6k citations

Peers

Jia Zhou

BIOMA

ONCOL

Nongnuj Muangsin Thailand

Xue Ying China

Yixian Huang United States

Valentino Laquintana Italy

Inchan Kwon South Korea

Annalisa Cutrignelli Italy

Hailei Zhang China

Vasco D. B. Bonifácio Portugal

Qingqiang Yao China

Dongkai Wang China

Nongnuj Muangsin Thailand

Jia Zhou

782 ×1.0

665 ×1.2

BIOMA

436 ×0.8

164 ×0.8

ONCOL

393 ×1.9

Citations per year, relative to Jia Zhou Jia Zhou (= 1×) peers Nongnuj Muangsin

Countries citing papers authored by Jia Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Jia Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Zhou. A scholar is included among the top collaborators of Jia Zhou 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 Jia Zhou. Jia Zhou 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

Zhou, Jia, Runbin Sun, Di Pan, et al.. (2024). Comparison of cell delivery and cell membrane camouflaged PLGA nanoparticles in the delivery of shikonin for colorectal cancer treatment. Colloids and Surfaces B Biointerfaces. 241. 114017–114017. 7 indexed citations

Ren, Linlin, et al.. (2024). Leveraging Diverse Regulated Cell Death Patterns to Identify Diagnosis Biomarkers for Alzheimer's Disease. The Journal of Prevention of Alzheimer s Disease. 11(6). 1775–1788. 3 indexed citations

Peng, Jianqing, Jia Zhou, Runbin Sun, et al.. (2023). Dual-targeting of artesunate and chloroquine to tumor cells and tumor-associated macrophages by a biomimetic PLGA nanoparticle for colorectal cancer treatment. International Journal of Biological Macromolecules. 244. 125163–125163. 31 indexed citations

Zhou, Jia, et al.. (2023). Extraction of hyper-elastic material parameters using BLSTM neural network from instrumented indentation. Journal of Mechanical Science and Technology. 37(12). 6589–6599. 2 indexed citations

Zhou, Jia, Nianqiu Shi, Rose Ackermann, et al.. (2022). Influence of encapsulation variables on formation of leuprolide-loaded PLGA microspheres. Journal of Colloid and Interface Science. 636. 401–412. 10 indexed citations

Liew, Si Si, Jia Zhou, Lin Li, & Shao Q. Yao. (2021). Co-delivery of proteins and small molecule drugs for mitochondria-targeted combination therapy. Chemical Communications. 57(26). 3215–3218. 17 indexed citations

Peng, Jianqing, Qin Wang, Jia Zhou, et al.. (2021). Targeted Lipid Nanoparticles Encapsulating Dihydroartemisinin and Chloroquine Phosphate for Suppressing the Proliferation and Liver Metastasis of Colorectal Cancer. Frontiers in Pharmacology. 12. 720777–720777. 18 indexed citations

Liew, Si Si, Xiaofei Qin, Jia Zhou, et al.. (2020). Intelligentes Design von Nanomaterialien für Mitochondrien‐gerichtete Nanotherapeutika. Angewandte Chemie. 133(5). 2260–2286. 10 indexed citations

Zhou, Jia, Jennifer Walker, Rose Ackermann, et al.. (2020). Effect of Manufacturing Variables and Raw Materials on the Composition-Equivalent PLGA Microspheres for 1-Month Controlled Release of Leuprolide. Molecular Pharmaceutics. 17(5). 1502–1515. 51 indexed citations

10.

Liew, Si Si, Xiaofei Qin, Jia Zhou, et al.. (2020). Smart Design of Nanomaterials for Mitochondria‐Targeted Nanotherapeutics. Angewandte Chemie International Edition. 60(5). 2232–2256. 223 indexed citations

11.

Shi, Nianqiu, Jia Zhou, Jennifer Walker, et al.. (2020). Microencapsulation of luteinizing hormone-releasing hormone agonist in poly (lactic-co-glycolic acid) microspheres by spray-drying. Journal of Controlled Release. 321. 756–772. 67 indexed citations

12.

Zhang, Lulu, Yingfen Qin, Li Li, et al.. (2018). Association of polymorphisms in LEPR with type 2 diabetes and related metabolic traits in a Chinese population. Lipids in Health and Disease. 17(1). 2–2. 15 indexed citations

13.

Zhou, Jia, Keiji Hirota, Rose Ackermann, et al.. (2018). Reverse Engineering the 1-Month Lupron Depot®. The AAPS Journal. 20(6). 105–105. 41 indexed citations

14.

Lü, Xing, Wenjun Hu, Ning Lou, et al.. (2016). Comparative molecular analysis of early and late cancer cachexia-induced muscle wasting in mouse models. Oncology Reports. 36(6). 3291–3302. 15 indexed citations

15.

Wang, Xuegang, Xuanyu Chen, Weiwei Han, et al.. (2015). miR-200c Targets CDK2 and Suppresses Tumorigenesis in Renal Cell Carcinoma. Molecular Cancer Research. 13(12). 1567–1577. 37 indexed citations

16.

Ju, Rui-Jun, Xuetao Li, Ji‐Feng Shi, et al.. (2014). Liposomes, modified with PTDHIV-1 peptide, containing epirubicin and celecoxib, to target vasculogenic mimicry channels in invasive breast cancer. Biomaterials. 35(26). 7610–7621. 71 indexed citations

17.

Li, Nan, Cheng-Xiang Zhang, Xiaoxing Wang, et al.. (2013). Development of targeting lonidamine liposomes that circumvent drug-resistant cancer by acting on mitochondrial signaling pathways. Biomaterials. 34(13). 3366–3380. 86 indexed citations

18.

Zhou, Jia, Weiyu Zhao, Xu Ma, et al.. (2013). The anticancer efficacy of paclitaxel liposomes modified with mitochondrial targeting conjugate in resistant lung cancer. Biomaterials. 34(14). 3626–3638. 184 indexed citations

19.

Lü, Wan-Liang, Ruo‐Jing Li, Yan Zhang, et al.. (2011). The efficacy of mitochondrial targeting antiresistant epirubicin liposomes in treating resistant leukemia in animals. International Journal of Nanomedicine. 6. 3125–3125. 22 indexed citations

20.

Yu, Yang, Zhaohui Wang, Liang Zhang, et al.. (2011). Mitochondrial targeting topotecan-loaded liposomes for treating drug-resistant breast cancer and inhibiting invasive metastases of melanoma. Biomaterials. 33(6). 1808–1820. 87 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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