Ning Mu

1.0k citations
41 papers · 791 indexed · 1 hit paper · h-index 15

Impact in

Papers in

Ning Mu

39 papers receiving 768 citations

Hit Papers

Highly sensitive detection of malignant glioma cells using metamaterial-inspired THz biosensor based on electromagnetically induced transparency 2021 · 239 citations
239202120262022202450100150200

Peers

Ning Mu
Comparison fields: 5 of 114
  • Electronic, Optical and Magnetic Materials 178
  • Biomedical Engineering 303
  • Biomaterials 88
  • Cancer Research 82
  • Electrical and Electronic Engineering 270
Replace Jinghua Han with:
Jinghua Han China
Antonio Virgilio Failla Germany
Gaëtan Bellot France
Junho Chung South Korea
M. Yamaguchi Japan
Liz Y. Wu United States
Ryo Ohta Japan
Thomas L. Fare United States
Chung Yu Chan United States
Ning Mu relative to Jinghua Han China Jinghua Han's profile →
Citations per field
00.5×7.4×
Jinghua Han · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ning Mu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ning Mu Line = papers co-authored together Ning Mu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Highly sensitive detection of malignant glioma cells using metamaterial-inspired THz biosensor based on electromagnetically induced transparency
Hit paper breakdown →
2021239
2 201665
3 201845
4 202140
5 202039
6 202138
7 202033
8 202232
9 202230
10 202426
11 202022
12 201918
13 202017
14 202016
15 202215
16 201910
17 202310
18 20239
19 20188
20 20198

About Ning Mu

Ning Mu is a scholar working on Parasitology, Biophysics, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 41 papers that have together received 791 indexed citations. Recurring topics across this work include Terahertz technology and applications (11 papers), Lung Cancer Research Studies (6 papers), Lung Cancer Treatments and Mutations (5 papers), Study of Mite Species (4 papers), Nerve injury and regeneration (4 papers), Bird parasitology and diseases (4 papers), Brain Metastases and Treatment (4 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (178 citations), Biomedical Engineering (303 citations), Biomaterials (88 citations), Cancer Research (82 citations) and Electrical and Electronic Engineering (270 citations). Ning Mu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Tunan Chen, Hua Feng, Jianquan Yao, Weiren Zhu, Jianhua Xie, Jin Zhang, Longhai Liu, Chunhua Ma, Shi Wang and Chuanyan Yang. Their work appears in journals such as Frontiers in Oncology, Acta Biomaterialia, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Biomedical Optics Express and Zootaxa.

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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