Chengde Wang
Impact in
-
- Cancer-related molecular mechanisms research
- Bioengineering top 10%
Papers in
- Genetics 6
- Glioma Diagnosis and Treatment 5
- Co-authors
- Claire M. Fraser (1 shared paper)Todd M. Savarese (1 shared paper)Qun Li (20 shared papers)Zhipeng Su (18 shared papers)Jianglong Lu (16 shared papers)Yi Wang (3 shared papers)Yuancai Ge (2 shared papers)Liping Huang (2 shared papers)
- Journals
- Discrete Mathematics (4 papers)Computers and Electronics in Agriculture (3 papers)Journal of Combinatorial Designs (3 papers)Biochemical and Biophysical Research Communications (2 papers)Cancer Cell International (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Chengde Wang
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 134
- Bioengineering 45
- Genetics 77
- Molecular Biology 484
- Oncology 137
Countries citing papers authored by Chengde Wang
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
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.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 182 | |
| 2 | 2020 | 159 | |
| 3 | 1992 | 113 | |
| 4 | 2020 | 78 | |
| 5 | 2020 | 47 | |
| 6 | Temozolomide promotes immune escape of GBM cells via upregulating PD-L1. | 2019 | 46 |
| 7 | 2015 | 34 | |
| 8 | 2020 | 26 | |
| 9 | 2021 | 25 | |
| 10 | 2017 | 23 | |
| 11 | 2018 | 23 | |
| 12 | 2018 | 20 | |
| 13 | 2023 | 20 | |
| 14 | 2015 | 19 | |
| 15 | 2021 | 19 | |
| 16 | 2018 | 17 | |
| 17 | 2019 | 17 | |
| 18 | 2024 | 16 | |
| 19 | 2018 | 16 | |
| 20 | 2021 | 16 |
About Chengde Wang
Chengde Wang is a scholar working on Cancer Research, Genetics, Endocrinology, Diabetes and Metabolism, Neurology and Biophysics, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include graph theory and CDMA systems (7 papers), Pituitary Gland Disorders and Treatments (7 papers), Graph Labeling and Dimension Problems (6 papers), Plant Surface Properties and Treatments (5 papers), Glioma Diagnosis and Treatment (5 papers), Neuroblastoma Research and Treatments (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). The work is most often cited by research in Cancer Research (134 citations), Bioengineering (45 citations), Genetics (77 citations), Molecular Biology (484 citations) and Oncology (137 citations). Chengde Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Claire M. Fraser, Todd M. Savarese, Qun Li, Zhipeng Su, Jianglong Lu, Yi Wang, Yuancai Ge, Liping Huang, Qingwen Zhang and Xueqian Ren. Their work appears in journals such as Discrete Mathematics, Computers and Electronics in Agriculture, Journal of Combinatorial Designs, Biochemical and Biophysical Research Communications and Cancer Cell International.
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.