Caixia Wu

683 citations
18 papers · 495 indexed · h-index 9
Topics
Radiomics and Machine Learning in Medical Imaging (5 papers)Medical Imaging Techniques and Applications (4 papers)Renal cell carcinoma treatment (4 papers)
Journals
SHILAP Revista de lepidopterologíaFrontiers in ImmunologyNeurobiology of Aging
Partner nations
China

In The Last Decade

Caixia Wu

16 papers receiving 490 citations

Peers

Caixia Wu
Comparison fields: 5 of 74
  • Molecular Biology 175
  • Physiology 112
  • Neurology 86
  • Pharmacology 74
  • Epidemiology 64
Replace Chinnasamy Elango with:
Chinnasamy Elango United States
Haibo Zhu China
Ling‐Ling Zhu China
Hiroshi Izuta Japan
Sherehan M. Ibrahim Egypt
Filomena Silva Portugal
Yuwei Han China
Cristina de Dios Spain
Bei Xu China
Caixia Wu relative to Chinnasamy Elango United States Chinnasamy Elango's profile →
Citations per field
00.5×3.6×
Chinnasamy Elango · 1×
Citations per year

Countries citing papers authored by Caixia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Caixia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caixia Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Caixia Wu. A scholar is included among the top collaborators of Caixia Wu 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 Caixia Wu. Caixia Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 3
3 25
4 3
5 5
6 53
7 25
8 12
9 5
10
Intensity of Physical Activity and Depressive Symptoms in College Students: Fitness Improvement Tactics in Youth (FITYou) Project
1
11 8
12 29
13 0
14
[Lycium barbarum Polysaccharide Pretreatment Attenuates Cerebral Ischemic Reperfusion Injury by Inhibiting Apoptosis in Mice].
6
15 85
16 69
17 47
18 119

About Caixia Wu

Caixia Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Clinical Biochemistry and Geriatrics and Gerontology, having authored 18 papers that have together received 495 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (4 papers) and Renal cell carcinoma treatment (4 papers). The work is most often cited by research in Neurology (86 citations), Biochemistry (37 citations) and Complementary and alternative medicine (41 citations). Caixia Wu has collaborated with scholars based in China. Frequent co-authors include Rui Liu, Guanhua Du, Tiantai Zhang, Fan Yang, Shuo Tian, Dan Zhou, Li Zhang, Mei Gao, Chao Huang and Yuhan Shu. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Neurobiology of Aging.

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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