Wei Mu

4.6k citations
90 papers · 2.8k indexed · 1 hit paper · h-index 26
Topics
Radiomics and Machine Learning in Medical Imaging (27 papers)CAR-T cell therapy research (16 papers)Medical Imaging Techniques and Applications (13 papers)
Journals
Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
Partner nations
ChinaUnited StatesSweden

In The Last Decade

Wei Mu

81 papers receiving 2.8k citations

Hit Papers

TGF-β inhibition via CRISPR promotes the long-term effica...2020202620222024202050100150200250

Peers

Wei Mu
Comparison fields: 5 of 129
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Oncology 1.1k
  • Molecular Biology 580
  • Biomedical Engineering 558
  • Pulmonary and Respiratory Medicine 545
Replace Benjamin L. Franc with:
Benjamin L. Franc United States
Tessa Buckle Netherlands
Michael Donovan United States
Sun Mi Kim South Korea
Jie Tian China
Katherine A. Vallis United Kingdom
M. Lewin France
Ming Kuang China
Payal Kapur United States
Tristan Barrett United Kingdom
Wei Mu relative to Benjamin L. Franc United States Benjamin L. Franc's profile →
Citations per field
00.5×11.5×
Benjamin L. Franc · 1×
Citations per year

Countries citing papers authored by Wei Mu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Mu. A scholar is included among the top collaborators of Wei 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 Wei Mu. Wei 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 2
3 0
4 8
5 41
6 0
7 0
8 13
9 22
10 2
11 4
12 148
13 2
14 44
15
TGF-β inhibition via CRISPR promotes the long-term efficacy of CAR T cells against solid tumorsbreakdown →
293
16 243
17 29
18 12
19 13
20 4

About Wei Mu

Wei Mu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Hepatology, having authored 90 papers that have together received 2.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (27 papers), CAR-T cell therapy research (16 papers) and Medical Imaging Techniques and Applications (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Health Informatics (71 citations) and Oncology (1.1k citations). Wei Mu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Robert J. Gillies, Xiaojun Han, Matthew B. Schabath, Jie Tian, Ilke Tunali, Haoyi Wang, Jhanelle E. Gray, Xingying Zhang, Na Li and Xiaofei Wei. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

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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