Chuanyong Mu

1.2k total citations · 1 hit paper
24 papers, 964 citations indexed

About

Chuanyong Mu is a scholar working on Oncology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chuanyong Mu has authored 24 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 10 papers in Immunology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chuanyong Mu's work include Cancer Immunotherapy and Biomarkers (10 papers), Immunotherapy and Immune Responses (8 papers) and Immune Cell Function and Interaction (4 papers). Chuanyong Mu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), Immunotherapy and Immune Responses (8 papers) and Immune Cell Function and Interaction (4 papers). Chuanyong Mu collaborates with scholars based in China and Canada. Chuanyong Mu's co-authors include Jian‐An Huang, Xueguang Zhang, Cheng Chen, Ying Chen, Yanbin Chen, Qiu‐Xia Qu, Yibei Zhu, Yu Shen, Xueqin Pang and Cheng Chen and has published in prestigious journals such as PLoS ONE, Cancer Research and Frontiers in Immunology.

In The Last Decade

Chuanyong Mu

20 papers receiving 951 citations

Hit Papers

High expression of PD-L1 in lung cancer may contribute to... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Chuanyong Mu
Comparison fields: 5 of 66
  • Oncology 761
  • Immunology 375
  • Pulmonary and Respiratory Medicine 352
  • Molecular Biology 155
  • Cancer Research 114
Replace Yasuko Tada with:
Yasuko Tada Japan
Theresa S. Pritchard United States
Virginie Poulot France
Jiemin Zhao China
Yanna Tang China
W. Jeff Edenfield United States
Mariacarla Andreozzi Italy
Kimberley M. Heinhuis Netherlands
Shamayel Mohammed Saudi Arabia
JT Chang United States
Yasuko Tada Japan View profile →
Citations per field, relative to Chuanyong Mu
Chuanyong Mu · 1×
Citations per year, relative to Chuanyong Mu
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Countries citing papers authored by Chuanyong Mu

Since Specialization
Citations

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

Fields of papers citing papers by Chuanyong Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanyong Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanyong Mu. A scholar is included among the top collaborators of Chuanyong 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 Chuanyong Mu. Chuanyong 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 0
4 0
5 0
6 14
7 13
8 22
9 4
10 2
11 19
12 6
13 26
14 18
15 196
16 20
17 76
18
High expression of PD-L1 in lung cancer may contribute to poor prognosis and tumor cells immune escape through suppressing tumor infiltrating dendritic cells maturation breakdown →
503
19 2
20 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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