Chengde Wang

1.5k total citations
64 papers, 1.1k citations indexed

About

Chengde Wang is a scholar working on Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Chengde Wang has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Chengde Wang's work include Pituitary Gland Disorders and Treatments (9 papers), Glioma Diagnosis and Treatment (7 papers) and graph theory and CDMA systems (7 papers). Chengde Wang is often cited by papers focused on Pituitary Gland Disorders and Treatments (9 papers), Glioma Diagnosis and Treatment (7 papers) and graph theory and CDMA systems (7 papers). Chengde Wang collaborates with scholars based in China, United States and South Korea. Chengde Wang's co-authors include Todd M. Savarese, Claire M. Fraser, Zhipeng Su, Qun Li, Jianglong Lu, Silu Wang, Liping Huang, Yi Wang, Yuancai Ge and Linyong Du and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Chengde Wang

61 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chengde Wang China 17 509 193 160 157 124 64 1.1k
Haotian Chen China 19 630 1.2× 177 0.9× 187 1.2× 170 1.1× 110 0.9× 69 1.2k
Katja Schmitz Germany 21 611 1.2× 155 0.8× 82 0.5× 192 1.2× 130 1.0× 85 1.3k
Rajesh Kumar Gandhirajan Germany 24 1.3k 2.5× 121 0.6× 134 0.8× 153 1.0× 185 1.5× 44 2.0k
Gang Deng China 20 702 1.4× 301 1.6× 179 1.1× 68 0.4× 72 0.6× 47 1.3k
Yuhang Zhao China 22 427 0.8× 147 0.8× 227 1.4× 94 0.6× 97 0.8× 79 1.4k
N. ODA Japan 16 763 1.5× 144 0.7× 288 1.8× 183 1.2× 96 0.8× 34 1.3k
Qingchun Mu China 19 551 1.1× 220 1.1× 211 1.3× 96 0.6× 159 1.3× 48 1.1k
Boyan Li China 19 631 1.2× 194 1.0× 283 1.8× 81 0.5× 127 1.0× 47 1.1k
Gwang Hyeon Eom South Korea 25 1.4k 2.8× 142 0.7× 241 1.5× 314 2.0× 182 1.5× 54 2.2k
Yifei Miao United States 22 627 1.2× 110 0.6× 245 1.5× 88 0.6× 81 0.7× 36 1.4k

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-authorship network of co-authors of Chengde Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengde Wang. A scholar is included among the top collaborators of Chengde Wang 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 Chengde Wang. Chengde Wang 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
1.
Wang, Chengde, et al.. (2024). Two-stage CFD simulation of droplet deposition on deformed leaves of cotton canopy in air-assisted spraying. Computers and Electronics in Agriculture. 224. 109228–109228. 12 indexed citations
2.
Chen, Yuzhe, et al.. (2024). Deep learning for rapid virtual H&E staining of label-free glioma tissue from hyperspectral images. Computers in Biology and Medicine. 180. 108958–108958. 2 indexed citations
3.
Wang, Chengde, et al.. (2023). A distinction of gliomas at cellular and tissue level by surface-enhanced Raman scattering spectroscopy. Chinese Chemical Letters. 35(5). 109383–109383. 9 indexed citations
5.
Wang, Chengde, et al.. (2023). Dynamic stratified porosity computation from canopy interaction simulation between airflow and leaves. Frontiers in Plant Science. 14. 1238360–1238360. 4 indexed citations
6.
Wang, Chengde, et al.. (2023). Dynamic simulation of fluid-structure interactions between leaves and airflow during air-assisted spraying: A case study of cotton. Computers and Electronics in Agriculture. 209. 107817–107817. 17 indexed citations
7.
Ren, Xueqian, Liping Huang, Chengde Wang, et al.. (2022). Urinary analysis based on surface-enhanced Raman scattering for the noninvasive screening of lung cancer. SHILAP Revista de lepidopterología. 3(4). 387–396. 6 indexed citations
8.
Huang, Kate, Qun Li, Jianglong Lu, et al.. (2022). Construction and validation of a glioblastoma prognostic model based on immune-related genes. Frontiers in Neurology. 13. 902402–902402. 6 indexed citations
9.
Cai, Lin, Lei Cao, Jianglong Lu, et al.. (2022). ACT001 inhibits pituitary tumor growth by inducing autophagic cell death via MEK4/MAPK pathway. Acta Pharmacologica Sinica. 43(9). 2386–2396. 9 indexed citations
10.
Lu, Jianglong, et al.. (2022). A Multielement Prognostic Nomogram Based on a Peripheral Blood Test, Conventional MRI and Clinical Factors for Glioblastoma. Frontiers in Neurology. 13. 822735–822735. 9 indexed citations
11.
Su, Zhipeng, Ningning Zhou, Fugen Shangguan, et al.. (2021). Ciclopirox and bortezomib synergistically inhibits glioblastoma multiforme growth via simultaneously enhancing JNK/p38 MAPK and NF-κB signaling. Cell Death and Disease. 12(3). 251–251. 24 indexed citations
12.
Cai, Lin, Yingyu Chen, Silu Wang, et al.. (2021). Brusatol Inhibits Proliferation and Invasion of Glioblastoma by Down-Regulating the Expression of ECM1. Frontiers in Pharmacology. 12. 775680–775680. 14 indexed citations
13.
Lu, Jianglong, Qun Li, Lin Cai, et al.. (2018). RBM17 controls apoptosis and proliferation to promote Glioma progression. Biochemical and Biophysical Research Communications. 505(1). 20–28. 12 indexed citations
14.
Liu, Feiyu, et al.. (2018). Enhanced recovery after surgery (ERAS) programs for esophagectomy protocol for a systematic review and meta-analysis. Medicine. 97(8). e0016–e0016. 22 indexed citations
15.
Ding, Saidan, Jiangnan Hu, Jianjing Yang, et al.. (2018). Baicalin reverses the impairment of synaptogenesis induced by dopamine burden via the stimulation of GABAAR–TrkB interaction in minimal hepatic encephalopathy. Psychopharmacology. 235(4). 1163–1178. 17 indexed citations
16.
Liu, Feiyu, et al.. (2017). Glutathione S-transferase A1 mediates nicotine-induced lung cancer cell metastasis by promoting epithelial-mesenchymal transition. Experimental and Therapeutic Medicine. 14(2). 1783–1788. 22 indexed citations
17.
Su, Zhipeng, Xiaolong Jiang, Chengde Wang, et al.. (2012). Differential effects of nerve growth factor on expression of dopamine 2 receptor subtypes in GH3 rat pituitary tumor cells. Endocrine. 42(3). 670–675. 8 indexed citations
18.
Wang, Chengde. (2007). More R-sequenceable Groups.. Australas. J Comb.. 37. 215–224. 5 indexed citations
19.
Wang, Chengde. (1994). On the R-sequenceability of dicyclic groups. Discrete Mathematics. 125(1-3). 393–398. 2 indexed citations
20.
Wang, Chengde. (1993). On the harmoniousness of dicyclic groups. Discrete Mathematics. 120(1-3). 221–225. 1 indexed citations

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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