Nai-Dan Zhang

714 total citations
13 papers, 557 citations indexed

About

Nai-Dan Zhang is a scholar working on Molecular Biology, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Nai-Dan Zhang has authored 13 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Pharmacology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Nai-Dan Zhang's work include Bone Metabolism and Diseases (5 papers), Phytochemicals and Antioxidant Activities (2 papers) and Phytochemical compounds biological activities (2 papers). Nai-Dan Zhang is often cited by papers focused on Bone Metabolism and Diseases (5 papers), Phytochemicals and Antioxidant Activities (2 papers) and Phytochemical compounds biological activities (2 papers). Nai-Dan Zhang collaborates with scholars based in China, United Kingdom and Canada. Nai-Dan Zhang's co-authors include Qiaoyan Zhang, Luping Qin, Hailiang Xin, Khalid Rahman, Ting Han, Yiping Jiang, Yimin Li, Baokang Huang, Hongtao Xu and Quanlong Zhang and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Journal of Ethnopharmacology.

In The Last Decade

Nai-Dan Zhang

12 papers receiving 546 citations

Peers

Nai-Dan Zhang
Ji‐Cheon Jeong South Korea
Wan‐Ping Lai Hong Kong
Rajendra Kedlaya United States
Wan Gong China
Hanchen Zheng China
Pingcui Xu China
Shujun Wei China
Sung Ok Kim South Korea
Dharmendra Choudhary India
Abnish K. Gautam India
Ji‐Cheon Jeong South Korea
Nai-Dan Zhang
Citations per year, relative to Nai-Dan Zhang Nai-Dan Zhang (= 1×) peers Ji‐Cheon Jeong

Countries citing papers authored by Nai-Dan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Nai-Dan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nai-Dan Zhang. 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 Nai-Dan Zhang. The network helps show where Nai-Dan Zhang may publish in the future.

Co-authorship network of co-authors of Nai-Dan Zhang

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

All Works

13 of 13 papers shown
1.
Zhang, Nai-Dan, et al.. (2024). Corn Husk Ferulic Acid Induces Apoptosis of Breast Cancer Cells via ROS‐Mediated Signaling Pathways. Journal of Food Biochemistry. 2024(1).
2.
Zhang, Xuelian, Ming Li, Wenjie Li, et al.. (2023). Chlorpyrifos induces male infertility in pigs through ROS and PI3K-AKT pathway. iScience. 26(5). 106558–106558. 4 indexed citations
3.
Sun, Wei, Nai-Dan Zhang, Tong Zhang, et al.. (2023). Cyanidin-3-O-Glucoside Induces the Apoptosis of Human Gastric Cancer MKN-45 Cells through ROS-Mediated Signaling Pathways. Molecules. 28(2). 652–652. 20 indexed citations
4.
Yi, Ying, et al.. (2019). Identification of differentially expressed lncRNAs and mRNAs in luminal-B breast cancer by RNA-sequencing. BMC Cancer. 19(1). 1171–1171. 17 indexed citations
5.
Gong, Wan, Nai-Dan Zhang, Gang Cheng, et al.. (2019). Rehmannia glutinosa Libosch Extracts Prevent Bone Loss and Architectural Deterioration and Enhance Osteoblastic Bone Formation by Regulating the IGF-1/PI3K/mTOR Pathway in Streptozotocin-Induced Diabetic Rats. International Journal of Molecular Sciences. 20(16). 3964–3964. 106 indexed citations
6.
Xue, Liming, Yiping Jiang, Ting Han, et al.. (2016). Comparative proteomic and metabolomic analysis reveal the antiosteoporotic molecular mechanism of icariin from Epimedium brevicornu maxim. Journal of Ethnopharmacology. 192. 370–381. 41 indexed citations
7.
Zhang, Zhiguo, Qiaoyan Zhang, Hua Yang, et al.. (2016). Monotropein isolated from the roots of Morinda officinalis increases osteoblastic bone formation and prevents bone loss in ovariectomized mice. Fitoterapia. 110. 166–172. 49 indexed citations
8.
Zhang, Nai-Dan, Chunyan Zhang, Xiao Xiao, Qiaoyan Zhang, & Baokang Huang. (2016). New cytotoxic compounds of endophytic fungus Alternaria sp. isolated from Broussonetia papyrifera (L.) Vent. Fitoterapia. 110. 173–180. 24 indexed citations
9.
10.
Zhang, Nai-Dan, Ting Han, Baokang Huang, et al.. (2016). Traditional Chinese medicine formulas for the treatment of osteoporosis: Implication for antiosteoporotic drug discovery. Journal of Ethnopharmacology. 189. 61–80. 188 indexed citations
11.
Li, Yimin, Min Jia, Huaqiang Li, et al.. (2015). Cnidium monnieri: A Review of Traditional Uses, Phytochemical and Ethnopharmacological Properties. The American Journal of Chinese Medicine. 43(5). 835–877. 66 indexed citations
12.
13.
Yuan, Tingting, et al.. (2014). Research progress of phytoestrogens-like chemical constituents in natural medicines. China Journal of Chinese Materia Medica. 39(23). 4526–31. 3 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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