Chao Jian

884 total citations
15 papers, 662 citations indexed

About

Chao Jian is a scholar working on Molecular Biology, Rehabilitation and Surgery. According to data from OpenAlex, Chao Jian has authored 15 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Rehabilitation and 3 papers in Surgery. Recurrent topics in Chao Jian's work include Wound Healing and Treatments (4 papers), RNA Interference and Gene Delivery (3 papers) and MicroRNA in disease regulation (3 papers). Chao Jian is often cited by papers focused on Wound Healing and Treatments (4 papers), RNA Interference and Gene Delivery (3 papers) and MicroRNA in disease regulation (3 papers). Chao Jian collaborates with scholars based in China and United States. Chao Jian's co-authors include Aixi Yu, Ai‐Ming Yu, Mei‐Juan Tu, Kangquan Shou, Aixi Yu, Ang Lu, Zhanjun Ma, Baiwen Qi, Xueyu Jiang and Xiang Hu and has published in prestigious journals such as ACS Nano, International Journal of Molecular Sciences and Pharmacology & Therapeutics.

In The Last Decade

Chao Jian

14 papers receiving 654 citations

Peers

Chao Jian
Long Yuan China
Shuo Liu China
Min Nie China
Luwen Zhu China
Long Yuan China
Chao Jian
Citations per year, relative to Chao Jian Chao Jian (= 1×) peers Long Yuan

Countries citing papers authored by Chao Jian

Since Specialization
Citations

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

Fields of papers citing papers by Chao Jian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Jian

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

All Works

15 of 15 papers shown
2.
Zhang, Dong, Weidong Xiao, Changjiang Liu, et al.. (2023). Exosomes Derived from Adipose Stem Cells Enhance Bone Fracture Healing via the Activation of the Wnt3a/β-Catenin Signaling Pathway in Rats with Type 2 Diabetes Mellitus. International Journal of Molecular Sciences. 24(5). 4852–4852. 22 indexed citations
3.
Jiang, Xueyu, Fanwei Zeng, Xuefeng Yang, et al.. (2022). Injectable self-healing cellulose hydrogel based on host-guest interactions and acylhydrazone bonds for sustained cancer therapy. Acta Biomaterialia. 141. 102–113. 86 indexed citations
5.
Li, Daifeng, Ying Yuan, Mei‐Juan Tu, et al.. (2020). The Optimal Outcome of Suppressing Ewing Sarcoma Growth in vivo With Biocompatible Bioengineered miR-34a-5p Prodrug. Frontiers in Oncology. 10. 222–222. 5 indexed citations
6.
Li, Daifeng, Shuqing He, Yifan Wu, et al.. (2019). Excretable Lanthanide Nanoparticle for Biomedical Imaging and Surgical Navigation in the Second Near‐Infrared Window. Advanced Science. 6(23). 1902042–1902042. 103 indexed citations
7.
Tu, Mei‐Juan, Pui Yan Ho, Chao Jian, et al.. (2018). Bioengineered miRNA-1291 prodrug therapy in pancreatic cancer cells and patient-derived xenograft mouse models. Cancer Letters. 442. 82–90. 43 indexed citations
8.
Yu, Ai‐Ming, et al.. (2018). RNA therapy: Are we using the right molecules?. Pharmacology & Therapeutics. 196. 91–104. 120 indexed citations
10.
Liu, Hong, Liang Chen, Chao Jian, et al.. (2017). Negative pressure wound therapy promotes muscle‐derived stem cell osteogenic differentiation through MAPK pathway. Journal of Cellular and Molecular Medicine. 22(1). 511–520. 9 indexed citations
11.
Shou, Kangquan, Yao Huang, Baiwen Qi, et al.. (2017). Induction of mesenchymal stem cell differentiation in the absence of soluble inducer for cutaneous wound regeneration by a chitin nanofiber‐based hydrogel. Journal of Tissue Engineering and Regenerative Medicine. 12(2). e867–e880. 39 indexed citations
12.
Yáng, Zhèn, Xiang Hu, Jinjun Wu, et al.. (2017). Organic Semiconducting Nanoparticles as Efficient Photoacoustic Agents for Lightening Early Thrombus and Monitoring Thrombolysis in Living Mice. ACS Nano. 11(3). 3298–3310. 108 indexed citations
13.
Shou, Kangquan, Zhanjun Ma, Chao Jian, et al.. (2017). Enhancement of Bone-Marrow-Derived Mesenchymal Stem Cell Angiogenic Capacity by NPWT for a Combinatorial Therapy to Promote Wound Healing with Large Defect. BioMed Research International. 2017. 1–13. 23 indexed citations
14.
Ma, Zhanjun, Kangquan Shou, Zonghuan Li, et al.. (2016). Negative pressure wound therapy promotes vessel destabilization and maturation at various stages of wound healing and thus influences wound prognosis. Experimental and Therapeutic Medicine. 11(4). 1307–1317. 35 indexed citations
15.
Li, Pengcheng, Kangquan Shou, Chao Jian, et al.. (2016). The iron chelator Dp44mT suppresses osteosarcoma's proliferation, invasion and migration: in vitro and in vivo.. PubMed. 8(12). 5370–5385. 43 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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