Chengde Wang

61 papers receiving 1.1k citations

Peers

Chengde Wang
Comparison fields: 5 of 124
  • Cancer Research 160
  • Genetics 88
  • Bioengineering 42
  • Molecular Biology 509
  • Immunology 124
Replace Yu-Chen Lee with:
Yu-Chen Lee United States
Roger M. Wadsworth United Kingdom
Pengfei Jiang China
Quinn P. Peterson United States
Jiajun Xu China
Jareer Kassis United States
Xiaochun Jiang China
Yiming Hu China
Mingjian Shi United States
Junhee Park South Korea
Chengde Wang relative to Yu-Chen Lee United States Yu-Chen Lee's profile →
Citations per field
00.5×
Yu-Chen Lee · 1×
Citations per year

Countries citing papers authored by Chengde Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chengde Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chengde Wang, 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 Chengde Wang Line = papers co-authored together Chengde Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020166
2 2020141
3 1992105
4 202073
5
Temozolomide promotes immune escape of GBM cells via upregulating PD-L1.
201946
6 202045
7 201532
8 202124
9 202023
10 201822
11 201722
12 201819
13 202118
14 201817
15 201917
16 202317
17 201517
18 201815
19 202114
20 202114

About Chengde Wang

Chengde Wang is a scholar working on Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism, Genetics and Oncology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (9 papers), graph theory and CDMA systems (7 papers), Glioma Diagnosis and Treatment (7 papers), Graph Labeling and Dimension Problems (6 papers), Plant Surface Properties and Treatments (5 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), Neuroblastoma Research and Treatments (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). The work is most often cited by research in Cancer Research (160 citations), Genetics (88 citations), Bioengineering (42 citations), Molecular Biology (509 citations) and Immunology (124 citations). Chengde Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Todd M. Savarese, Claire M. Fraser, Zhipeng Su, Qun Li, Jianglong Lu, Liping Huang, Yi Wang, Silu Wang, Linyong Du and Qingwen Zhang. Their work appears in journals such as Discrete Mathematics, Computers and Electronics in Agriculture, World Neurosurgery, Journal of Combinatorial Designs and Frontiers in Neurology.

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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