Ning Mu

1.0k total citations · 1 hit paper
41 papers, 791 citations indexed

About

Ning Mu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ning Mu has authored 41 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 12 papers in Biomedical Engineering and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ning Mu's work include Terahertz technology and applications (11 papers), Lung Cancer Research Studies (6 papers) and Lung Cancer Treatments and Mutations (5 papers). Ning Mu is often cited by papers focused on Terahertz technology and applications (11 papers), Lung Cancer Research Studies (6 papers) and Lung Cancer Treatments and Mutations (5 papers). Ning Mu collaborates with scholars based in China, Macao and United States. Ning Mu's co-authors include Tunan Chen, Hua Feng, Jianquan Yao, Weiren Zhu, Longhai Liu, Jianhua Xie, Jin Zhang, Chunhua Ma, Shi Wang and Chuanyan Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Journal of Controlled Release.

In The Last Decade

Ning Mu

39 papers receiving 768 citations

Hit Papers

Highly sensitive detection of malignant glioma cells usin... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Mu China 15 303 270 178 157 88 41 791
Antonio Virgilio Failla Germany 24 516 1.7× 161 0.6× 237 1.3× 539 3.4× 32 0.4× 65 1.5k
Ryo Ohta Japan 17 119 0.4× 137 0.5× 48 0.3× 328 2.1× 13 0.1× 92 961
Tamal Das India 20 694 2.3× 75 0.3× 81 0.5× 299 1.9× 119 1.4× 46 1.3k
Chung Yu Chan United States 19 1.1k 3.5× 261 1.0× 73 0.4× 522 3.3× 24 0.3× 31 1.7k
Zhe Guo China 16 429 1.4× 364 1.3× 198 1.1× 175 1.1× 7 0.1× 52 1.2k
Keiko Yoshizawa Japan 16 112 0.4× 80 0.3× 56 0.3× 341 2.2× 135 1.5× 29 738
Jinghua Han China 19 210 0.7× 117 0.4× 24 0.1× 453 2.9× 102 1.2× 91 1.3k
M. Yamaguchi Japan 17 242 0.8× 147 0.5× 79 0.4× 106 0.7× 5 0.1× 70 756
Guanghao Li China 18 102 0.3× 96 0.4× 63 0.4× 187 1.2× 20 0.2× 49 773

Countries citing papers authored by Ning Mu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Mu. A scholar is included among the top collaborators of Ning Mu 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 Mu. Ning Mu 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.
Huang, Xiaobei, Ning Mu, Yuan‐Fu Ding, et al.. (2024). Tumor microenvironment targeting for glioblastoma multiforme treatment via hybrid cell membrane coating supramolecular micelles. Journal of Controlled Release. 366. 194–203. 26 indexed citations
2.
Mu, Ning, Chiben Zhang, Chuanyan Yang, et al.. (2024). Terahertz meta-biosensor for subtype detection and chemotherapy monitoring of glioma cells. Materials & Design. 246. 113294–113294. 7 indexed citations
3.
Shao, Linda, Zhihang Wang, Ning Mu, Tunan Chen, & Weiren Zhu. (2024). Terahertz Metasurface With High-Q Fano Resonance for Bio-Sensing. 1. 272–279. 7 indexed citations
4.
Wang, Yuye, Haibin Li, Chuanyan Yang, et al.. (2023). Raman spectroscopic diagnosis of blast-induced traumatic brain injury in rats combined with machine learning. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 304. 123419–123419.
5.
Ma, Kang, Dawei Zhao, Xuegang Li, et al.. (2023). Case report: Multiple brain metastases of atrial myxoma: Clinical experience and literature review. Frontiers in Neurology. 13. 1046441–1046441. 9 indexed citations
6.
Fu, Ying, Tunan Chen, Zhongbo Yang, et al.. (2023). Terahertz time-domain attenuated total reflection spectroscopy integrated with a microfluidic chip. Frontiers in Bioengineering and Biotechnology. 11. 1143443–1143443. 7 indexed citations
7.
Wang, Yu‐Lin, Ya Li, Zhongbing Huang, et al.. (2022). Gene delivery of chitosan-graft-polyethyleneimine vectors loaded on scaffolds for nerve regeneration. Carbohydrate Polymers. 290. 119499–119499. 30 indexed citations
9.
Huang, Xiaobei, Ning Mu, Yuan‐Fu Ding, et al.. (2022). Targeted delivery and enhanced uptake of chemo-photodynamic nanomedicine for melanoma treatment. Acta Biomaterialia. 147. 356–365. 32 indexed citations
10.
Zhang, Jin, Ning Mu, Longhai Liu, et al.. (2021). Highly sensitive detection of malignant glioma cells using metamaterial-inspired THz biosensor based on electromagnetically induced transparency. Biosensors and Bioelectronics. 185. 113241–113241. 239 indexed citations breakdown →
11.
Chen, Tunan, Bing Yang, Ning Mu, et al.. (2021). Graphene oxide-composited chitosan scaffold contributes to functional recovery of injured spinal cord in rats. Neural Regeneration Research. 16(9). 1829–1829. 38 indexed citations
12.
Mu, Ning, et al.. (2020). Afatinib successfully treated leptomeningeal metastasis of lung adenocarcinoma in a patient with EGFR G719A mutation in detection of cerebrospinal fluid. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Li, Dandan, Zhongbo Yang, Ailing Fu, et al.. (2020). Detecting melanoma with a terahertz spectroscopy imaging technique. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 234. 118229–118229. 39 indexed citations
16.
Ma, Kang, Li Zhao, Haifeng Wang, et al.. (2019). Rapid, label-free detection of cerebral ischemia in rats using hyperspectral imaging. Journal of Neuroscience Methods. 329. 108466–108466. 10 indexed citations
17.
Wang, Yuye, Degang Xu, Tunan Chen, et al.. (2019). Study of the dielectric characteristics of living glial-like cells using terahertz ATR spectroscopy. Biomedical Optics Express. 10(10). 5351–5351. 18 indexed citations
18.
Ma, Chunhua, Dongjiang Tang, Xin Ye, et al.. (2019). Afatinib for Advanced Non-small Cell Lung Cancer in a Case With an Uncommon Epidermal Growth Factor Receptor Mutation (G719A) Identified in the Cerebrospinal Fluid. Frontiers in Oncology. 9. 628–628. 8 indexed citations
19.
Martins, J.P.N., Dan Wang, Ning Mu, et al.. (2018). Level of circulating concentrations of progesterone during ovulatory follicle development affects timing of pregnancy loss in lactating dairy cows. Journal of Dairy Science. 101(11). 10505–10525. 45 indexed citations
20.
Wang, Ziying, Ning Mu, Xiaohui Su, & Huai Liu. (2014). Three new species of the genus Passeroptes Fain (Astigmata: Dermationidae) from China. Zootaxa. 3838(1). 87–97. 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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