Jing Mu

609 total citations
20 papers, 171 citations indexed

About

Jing Mu is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Jing Mu has authored 20 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Food Science. Recurrent topics in Jing Mu's work include Plant Virus Research Studies (3 papers), Proteins in Food Systems (2 papers) and High voltage insulation and dielectric phenomena (2 papers). Jing Mu is often cited by papers focused on Plant Virus Research Studies (3 papers), Proteins in Food Systems (2 papers) and High voltage insulation and dielectric phenomena (2 papers). Jing Mu collaborates with scholars based in China, United States and Australia. Jing Mu's co-authors include Shuang Ding, Chunhua Dai, Liurong Huang, Ye Xiang, Yongjie Shi, Changlin Li, Huchuan Lu, Xin Tao, Xu Jia and Lulu Qu and has published in prestigious journals such as ACS Applied Materials & Interfaces, International Journal of Biological Macromolecules and Sustainability.

In The Last Decade

Jing Mu

19 papers receiving 168 citations

Peers

Jing Mu
Comparison fields: 5 of 81
  • Food Science 40
  • Computer Vision and Pattern Recognition 35
  • Biomedical Engineering 30
  • Molecular Biology 27
  • Materials Chemistry 19
Replace Mengge Liu with:
Mengge Liu China
Yiwen Ye China
Chao-Hong Liu Taiwan
Kijung Kim South Korea
Anu Kumari India
Sangeetha Mohan India
I‐Hsuan Yang Taiwan
Huihui Xu China
Xiaowei Yu China
Mengge Liu China View profile →
Citations per field, relative to Jing Mu
Jing Mu · 1×
Citations per year, relative to Jing Mu
Jing Mu · 1×

Countries citing papers authored by Jing Mu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Mu. A scholar is included among the top collaborators of Jing 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 Jing Mu. Jing 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
# Work Indexed citations
1 1
2 0
3 1
4 3
5 16
6 8
7 29
8 17
9 3
10 22
11 2
12 35
13 4
14 19
15 2
16 1
17
Determination of 11 kinds of ginsenosides from Ginseng Bud by RP-HPLC
1
18 4
19
[Regulation of wild type PTEN gene on Survivin, Xiap and Smac in chronic leukemia cells].
2
20
Biological characteristics of Taenia multiceps Sichuan strain.
1

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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