Jianda Zhou

4.1k total citations · 1 hit paper
95 papers, 2.9k citations indexed

About

Jianda Zhou is a scholar working on Molecular Biology, Cancer Research and Rehabilitation. According to data from OpenAlex, Jianda Zhou has authored 95 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 22 papers in Cancer Research and 18 papers in Rehabilitation. Recurrent topics in Jianda Zhou's work include Wound Healing and Treatments (18 papers), Cancer-related molecular mechanisms research (17 papers) and MicroRNA in disease regulation (10 papers). Jianda Zhou is often cited by papers focused on Wound Healing and Treatments (18 papers), Cancer-related molecular mechanisms research (17 papers) and MicroRNA in disease regulation (10 papers). Jianda Zhou collaborates with scholars based in China, United States and Thailand. Jianda Zhou's co-authors include Ke Cao, Wei Xiong, Yu Lian, Xiayu Li, Yingfeng Wu, Can Guo, Wei Fang, Lishen Zhang, Maonan Wang and Shanshan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Chemical Engineering Journal.

In The Last Decade

Jianda Zhou

91 papers receiving 2.9k citations

Hit Papers

Role of tumor microenvironment in tumorigenesis 2017 2026 2020 2023 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianda Zhou China 28 1.5k 937 633 521 302 95 2.9k
Dongsheng Huang China 30 2.0k 1.3× 1.2k 1.3× 619 1.0× 430 0.8× 193 0.6× 95 3.2k
Haitao Zhu China 28 1.2k 0.8× 533 0.6× 447 0.7× 450 0.9× 295 1.0× 76 2.4k
Liming Wang China 31 1.8k 1.2× 727 0.8× 610 1.0× 292 0.6× 408 1.4× 126 3.3k
Jingwei Ma China 30 1.7k 1.1× 807 0.9× 565 0.9× 1.1k 2.1× 466 1.5× 63 3.1k
Wei Qiu China 40 2.5k 1.6× 1.1k 1.2× 860 1.4× 691 1.3× 449 1.5× 112 4.3k
Qing Xiao China 26 2.0k 1.3× 744 0.8× 572 0.9× 316 0.6× 147 0.5× 87 3.7k
Qiang Huang China 37 2.1k 1.4× 1.2k 1.2× 825 1.3× 484 0.9× 165 0.5× 208 3.8k
Ying Zhu China 34 1.5k 1.0× 897 1.0× 754 1.2× 898 1.7× 241 0.8× 145 3.4k
Çığır Biray Avcı Türkiye 29 1.5k 1.0× 769 0.8× 503 0.8× 277 0.5× 467 1.5× 169 3.0k
Guihua Chen China 29 1.7k 1.1× 910 1.0× 605 1.0× 824 1.6× 199 0.7× 85 3.2k

Countries citing papers authored by Jianda Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jianda Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianda Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jianda Zhou. A scholar is included among the top collaborators of Jianda 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 Jianda Zhou. Jianda Zhou 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.
Li, Wei, et al.. (2025). Modeling epithelial wound closure dynamics with AI: A comparative study across cell types. Regenerative Therapy. 30. 860–867. 1 indexed citations
2.
Hao, Dake, et al.. (2024). Development of pro‐angiogenic skin substitutes for wound healing. Wound Repair and Regeneration. 32(3). 208–216. 8 indexed citations
3.
Shi, Ke, Jianda Zhou, Man Li, et al.. (2023). Pan-cancer analysis of PLAU indicates its potential prognostic value and correlation with neutrophil infiltration in BLCA. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(2). 166965–166965. 8 indexed citations
4.
Wang, Cangyu, Zihua Chen, Jianda Zhou, et al.. (2023). Epithelial polarity-driven membrane separation but not cavitation regulates lumen formation of rat eccrine sweat glands. Acta Histochemica. 125(7). 152093–152093.
5.
Chen, Shuyue, Daisong Liu, Ke Shi, et al.. (2023). A bibliometric study: Relevant studies on scar laser therapy since the 21st century. International Wound Journal. 21(1). e14410–e14410. 1 indexed citations
6.
Zhang, Wancong, Zijian Huang, Xiaoping Zhong, et al.. (2022). The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM. Frontiers in Immunology. 13. 919145–919145. 28 indexed citations
7.
Xie, Jianfei, et al.. (2020). Research progress of circadian rhythm disorder in cancer survivors. 22(3). 474–477. 1 indexed citations
8.
Zhang, Wancong, Jiasheng Chen, Xiaoping Zhong, et al.. (2020). Mining database for the expression and gene regulation network of JAK2 in skin cutaneous melanoma. Life Sciences. 253. 117600–117600. 8 indexed citations
9.
Xing, Yue, Wancong Zhang, Xinhong Wan, et al.. (2019). Association Between an Interferon Regulatory Factor 6 Gene Polymorphism and Nonsyndromic Cleft Palate Risk. Genetic Testing and Molecular Biomarkers. 23(9). 652–663. 5 indexed citations
10.
Chen, Wei, Hong Xiang, Ruifang Chen, et al.. (2019). S1PR2 antagonist ameliorate high glucose-induced fission and dysfunction of mitochondria in HRGECs via regulating ROCK1. BMC Nephrology. 20(1). 135–135. 43 indexed citations
11.
Yuan, Fang, Yufang Zhang, Jianda Zhou, & Ke Cao. (2019). Adipose-derived mesenchymal stem cell exosomes: a novel pathway for tissues repair. Cell and Tissue Banking. 20(2). 153–161. 59 indexed citations
13.
Zhang, Xu, Lisha Wu, Ta Xiao, et al.. (2018). TRAF6 regulates EGF-induced cell transformation and cSCC malignant phenotype through CD147/EGFR. Oncogenesis. 7(2). 17–17. 23 indexed citations
14.
Xie, Jianfei, et al.. (2017). Impact Factors and Attitudes Toward Organ Donation Among Transplantation Patients and Their Caregivers in China. Transplantation Proceedings. 49(9). 1975–1981. 20 indexed citations
15.
Liu, Jinyan, Fengping Hu, Jintian Tang, et al.. (2017). Homemade-device-induced negative pressure promotes wound healing more efficiently than VSD-induced positive pressure by regulating inflammation, proliferation and remodeling. International Journal of Molecular Medicine. 39(4). 879–888. 12 indexed citations
16.
Wang, Maonan, Lishen Zhang, Wei Fang, et al.. (2017). Role of tumor microenvironment in tumorigenesis. Journal of Cancer. 8(5). 761–773. 1023 indexed citations breakdown →
17.
Wang, Shaohua, et al.. (2016). miR-199a-5p induces cell invasion by suppressing E-cadherin expression in cutaneous squamous cell carcinoma. Oncology Letters. 12(1). 97–101. 20 indexed citations
18.
Zhou, Jianda, et al.. (2014). MiR-199a inhibits the ability of proliferation and migration by regulating CD44-Ezrin signaling in cutaneous squamous cell carcinoma cells.. PubMed. 7(10). 7131–41. 42 indexed citations
19.
Liu, Rui, Chengqun Luo, Xiao Zhou, et al.. (2014). Identification of FLOT2 as a novel target for microRNA-34a in melanoma. Journal of Cancer Research and Clinical Oncology. 141(6). 993–1006. 39 indexed citations
20.
Xu, Dan, Ming Zhou, Bimei Jiang, et al.. (2012). Let-7b and microRNA-199a inhibit the proliferation of B16F10 melanoma cells. Oncology Letters. 4(5). 941–946. 20 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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