Ning Zhan

1.0k total citations
36 papers, 678 citations indexed

About

Ning Zhan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Ning Zhan has authored 36 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 11 papers in Electrical and Electronic Engineering and 9 papers in Molecular Biology. Recurrent topics in Ning Zhan's work include Cancer-related molecular mechanisms research (5 papers), Semiconductor materials and devices (5 papers) and Advanced Memory and Neural Computing (3 papers). Ning Zhan is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Semiconductor materials and devices (5 papers) and Advanced Memory and Neural Computing (3 papers). Ning Zhan collaborates with scholars based in China, United States and Australia. Ning Zhan's co-authors include Jianlin Liu, Mario Olmedo, Guoping Wang, Jingjian Ren, Sheng Chu, Jing Qi, Jianze Zhao, Jian‐Guo Zheng, Leonid Chernyak and Yuqing Lin and has published in prestigious journals such as ACS Nano, Applied Physics Letters and Advanced Functional Materials.

In The Last Decade

Ning Zhan

33 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Zhan China 14 276 244 165 91 70 36 678
Juanjuan Zhu China 16 153 0.6× 337 1.4× 209 1.3× 47 0.5× 145 2.1× 36 769
Shiyun Zhang China 14 247 0.9× 147 0.6× 75 0.5× 22 0.2× 57 0.8× 54 643
Yunan Zhao China 13 116 0.4× 89 0.4× 239 1.4× 64 0.7× 26 0.4× 39 660
Chiun‐Jye Yuan Taiwan 19 323 1.2× 166 0.7× 374 2.3× 27 0.3× 86 1.2× 42 975
Xudong Wang China 18 333 1.2× 284 1.2× 266 1.6× 162 1.8× 107 1.5× 48 799
Volker Mailaender Germany 6 141 0.5× 55 0.2× 255 1.5× 31 0.3× 74 1.1× 10 685
Andrew Baker United Kingdom 9 98 0.4× 122 0.5× 206 1.2× 33 0.4× 15 0.2× 21 710
Delin Yang China 17 77 0.3× 240 1.0× 207 1.3× 102 1.1× 15 0.2× 53 692
Di Lu China 14 155 0.6× 154 0.6× 141 0.9× 37 0.4× 34 0.5× 23 598
Songyu Li China 21 402 1.5× 473 1.9× 346 2.1× 163 1.8× 32 0.5× 54 1.2k

Countries citing papers authored by Ning Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Ning Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Zhan. A scholar is included among the top collaborators of Ning Zhan 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 Ning Zhan. Ning Zhan 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.
Hu, Songliu, Ning Zhan, Jian Li, et al.. (2025). RBM15 recruits myeloid-derived suppressor cells via the m6A-IGF2BP3/CBR3-AS1/miR-409-3p/CXCL1 axis, facilitating radioresistance in non-small-cell lung cancer. Journal of Translational Medicine. 23(1). 191–191. 5 indexed citations
2.
Zhan, Ning, Zhan Yang, Xiaoting Zhang, et al.. (2024). Cuproptosis-related lncRNA JPX regulates malignant cell behavior and epithelial-immune interaction in head and neck squamous cell carcinoma via miR-193b-3p/PLAU axis. International Journal of Oral Science. 16(1). 63–63. 5 indexed citations
3.
You, Dongqi, Ning Zhan, Chao Liu, et al.. (2024). 4D Oriented Dynamic Scaffold for Promoting Peripheral Nerve Regeneration and Functional Recovery (Adv. Funct. Mater. 2/2024). Advanced Functional Materials. 34(2).
4.
Li, Xiaoqi, Ning Zhan, Zhichao Liu, et al.. (2024). Ferroptosis-related lncRNAs: Distinguishing heterogeneity of the tumour microenvironment and predicting immunotherapy response in bladder cancer. Heliyon. 10(11). e32018–e32018. 2 indexed citations
5.
Zhang, Honghong, et al.. (2024). Postmastectomy radiotherapy in breast reconstruction: Current controversies and trends. PubMed. 3(1). e104–e104.
6.
Yang, Zhan, Xiaoting Zhang, Ning Zhan, et al.. (2024). Exosome‐related lncRNA score: A value‐based individual treatment strategy for predicting the response to immunotherapy in clear cell renal cell carcinoma. Cancer Medicine. 13(11). e7308–e7308. 4 indexed citations
7.
Mao, Liangjie, et al.. (2022). Research on Calculation of Riser Gas Injection Dual-Gradient Drilling Wellbore Parameters. 应用数学和力学. 43(4). 401–415. 1 indexed citations
8.
Jin, Shengwei, Siyuan Sun, Hanzhi Ling, et al.. (2021). Protectin DX restores Treg/Th17 cell balance in rheumatoid arthritis by inhibiting NLRP3 inflammasome via miR-20a. Cell Death and Disease. 12(3). 280–280. 63 indexed citations
9.
Wang, Gangzheng, Chenghua Zhang, Min Li, et al.. (2021). Biosynthetic Pathway and the Potential Role of Melatonin at Different Abiotic Stressors and Developmental Stages in Tolypocladium guangdongense. Frontiers in Microbiology. 12. 746141–746141. 7 indexed citations
10.
11.
Wang, Gangzheng, Min Li, Chenghua Zhang, et al.. (2020). Identification of microRNA-like RNAs in Cordyceps guangdongensis and their expression profile under differential developmental stages. Fungal Genetics and Biology. 147. 103505–103505. 6 indexed citations
12.
Yang, Xinyu, Ning Zhan, Yang Jin, et al.. (2020). Tofacitinib restores the balance of γδTreg/γδT17 cells in rheumatoid arthritis by inhibiting the NLRP3 inflammasome. Theranostics. 11(3). 1446–1457. 50 indexed citations
13.
Liu, Shilong, Bin Li, Jianyu Xu, et al.. (2020). SOD1 Promotes Cell Proliferation and Metastasis in Non-small Cell Lung Cancer via an miR-409-3p/SOD1/SETDB1 Epigenetic Regulatory Feedforward Loop. Frontiers in Cell and Developmental Biology. 8. 213–213. 52 indexed citations
14.
Zhan, Ning, Bin Li, Xiangying Xu, Jianyu Xu, & Songliu Hu. (2018). Inhibition of FASN expression enhances radiosensitivity in human non-small cell lung cancer. Oncology Letters. 15(4). 4578–4584. 27 indexed citations
15.
Wang, Liang, et al.. (2014). Reduced EBP50 expression or mis-localization of the EBP50 protein is associated with the malignant progression of esophageal squamous cell carcinoma.. PubMed. 18(24). 3854–63. 7 indexed citations
16.
Qi, Jing, Jingjian Ren, Mario Olmedo, Ning Zhan, & Jianlin Liu. (2012). Unipolar resistive switching in Au/Cr/Mg0.84Zn0.16O2−δ /p+-Si. Applied Physics A. 107(4). 891–897. 4 indexed citations
17.
Wang, Guoping, Sheng Chu, Ning Zhan, et al.. (2011). ZnO homojunction photodiodes based on Sb-doped p-type nanowire array and n-type film for ultraviolet detection. Applied Physics Letters. 98(4). 81 indexed citations
18.
Zhou, Huimei, Bei Li, Zheng Yang, et al.. (2010). $\hbox{TiSi}_{2}$ Nanocrystal Metal Oxide Semiconductor Field Effect Transistor Memory. IEEE Transactions on Nanotechnology. 10(3). 499–505. 10 indexed citations
19.
Tao, Zhensheng, et al.. (2008). The studies of Ge quantum dots on strained Si0.7Ge0.3 layer by photoluminescence and deep level transient spectroscopy. Applied Surface Science. 255(6). 3548–3551. 9 indexed citations
20.
Carelli, Mario D., et al.. (1994). A Simpler, Safer, Higher Performance Cooling System Arrangement for Water Cooled Divertors. Fusion Technology. 26(3P2). 611–617. 2 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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