Jing Mu

415 citations
30 papers · 288 indexed · h-index 9
Topics
Lung Cancer Treatments and Mutations (7 papers)Lung Cancer Research Studies (5 papers)Mycobacterium research and diagnosis (4 papers)

In The Last Decade

Jing Mu

27 papers receiving 284 citations

Peers

Jing Mu
Comparison fields: 5 of 72
  • Pulmonary and Respiratory Medicine 95
  • Oncology 68
  • Molecular Biology 60
  • Dermatology 44
  • Cancer Research 34
Replace Entezar Mehrabi Nasab with:
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Ji Yun Jung South Korea
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Jing Mu relative to Entezar Mehrabi Nasab Iran Entezar Mehrabi Nasab's profile →
Citations per field
00.5×10×16×
Entezar Mehrabi Nasab · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 5
5 0
6 7
7 55
8 12
9 7
10 9
11 30
12 8
13 4
14 33
15
[Primary sinus histiocytosis of the trachea: a case report and review of literature].
4
16 17
17 2
18 10
19
[Effects of 11, 12-epoxyeicosatrienoic acid preconditioning and postconditioning on Ca(2+)- handling proteins in myocardial ischemia/reperfusion injury in rats].
4
20
[The inhibitory effect of tissue plasminogen activator combined with 5-fluorouracil polyphase liposome on the scar formation in experimental filtration surgery].
3

About Jing Mu

Jing Mu is a scholar working on Biochemistry, Pulmonary and Respiratory Medicine and Cancer Research, having authored 30 papers that have together received 288 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Lung Cancer Research Studies (5 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Dermatology (44 citations), Pulmonary and Respiratory Medicine (95 citations) and Oncology (68 citations). Jing Mu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Hong Chen, Mengyi Ye, Xiaoxia Zhang, Yiran Cai, Yujie Dong, Li Zhang, Shucai Zhang, Dan Su, Zongde Zhang and Malik Wajid Hussain Chan. Their work appears in journals such as Biochemical and Biophysical Research Communications, Frontiers in Pharmacology and American Journal of Clinical Pathology.

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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