Weida Chen

471 citations
37 papers · 309 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Immune cells in cancer
    • Phagocytosis and Immune Regulation
    • Immunotherapy and Immune Responses

Papers in

Weida Chen

33 papers receiving 305 citations

Peers

Weida Chen
Comparison fields: 5 of 72
  • Cancer Research 50
  • Immunology 64
  • Rehabilitation 12
  • Molecular Biology 100
  • Complementary and alternative medicine 11
Replace Xiaoling Liu with:
Xiaoling Liu China
Zhiqiang Zhou China
Li Gu China
Chunchun Xue China
Caixia Liu China
Yiming Li China
Mingjie Xia China
Hari Priya Vemana United States
Lou Zhong China
Qiaoyun Long China
Weida Chen relative to Xiaoling Liu China Xiaoling Liu's profile →
Citations per field
00.5×12×
Xiaoling Liu · 1×
Citations per year

Countries citing papers authored by Weida Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weida Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weida Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weida Chen Line = papers co-authored together Weida Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202274
2 202144
3 202123
4 202119
5 202116
6 202214
7 201913
8 201512
9 202211
10 201910
11 202010
12 200610
13
[The study of vascular lesion using ultrasound in children with a history of Kawasaki disease].
20076
14 20225
15 20214
16 20224
17 20254
18 20244
19 20204
20 20233

About Weida Chen

Weida Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Cancer Research and Surgery, having authored 37 papers that have together received 309 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (3 papers), Immune cells in cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Ferroptosis and cancer prognosis (2 papers), Nanoparticles: synthesis and applications (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (50 citations), Immunology (64 citations), Rehabilitation (12 citations), Molecular Biology (100 citations) and Complementary and alternative medicine (11 citations). Weida Chen has collaborated with scholars based in China, Czechia and Taiwan. Frequent co-authors include Ning Zhang, Xiangdong Meng, Shoufeng Wang, Jianjie Wang, Mingming Fu, Eloy Yinwang, Shan Li, Jiahao Zhang, Xupeng Chai and Zhaoming Ye. Their work appears in journals such as Scientific Reports, Annals of Translational Medicine, British Journal of Clinical Pharmacology, BMC Surgery and Cell Biochemistry and Biophysics.

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.

Explore authors with similar magnitude of impact