Yichang Wang

768 total citations · 1 hit paper
22 papers, 506 citations indexed

About

Yichang Wang is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yichang Wang has authored 22 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Genetics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yichang Wang's work include Glioma Diagnosis and Treatment (11 papers), Ferroptosis and cancer prognosis (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Yichang Wang is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Ferroptosis and cancer prognosis (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Yichang Wang collaborates with scholars based in China, United States and France. Yichang Wang's co-authors include Jun Cao, Ray Wü, Michael Fromm, Theodore M. Klein, John C. Sanford, Howard D. Grimes, Thomas K. Hodges, Jianfeng Gao, Liang Qi and Xiaowen Huang and has published in prestigious journals such as Scientific Reports, Brain Research and Experimental Cell Research.

In The Last Decade

Yichang Wang

22 papers receiving 482 citations

Hit Papers

The mechanism of ferroptosis and its related diseases 2023 2026 2024 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yichang Wang China 10 322 144 103 94 80 22 506
Bing Gao China 12 320 1.0× 34 0.2× 184 1.8× 58 0.6× 10 0.1× 26 434
Zongyan Li China 13 190 0.6× 15 0.1× 116 1.1× 50 0.5× 14 0.2× 41 515
Wenping Ma China 14 221 0.7× 88 0.6× 151 1.5× 60 0.6× 8 0.1× 29 501
Cunzhen Zhang China 8 159 0.5× 13 0.1× 70 0.7× 19 0.2× 4 0.1× 17 299
Yue Yao China 15 206 0.6× 130 0.9× 68 0.7× 45 0.5× 8 0.1× 32 555
Xiaoling Qian China 9 290 0.9× 128 0.9× 98 1.0× 27 0.3× 11 0.1× 24 430
Motohiro Nishimura Japan 14 319 1.0× 48 0.3× 53 0.5× 75 0.8× 73 0.9× 49 621
Tiantian Wang China 14 273 0.8× 27 0.2× 167 1.6× 49 0.5× 9 0.1× 43 487

Countries citing papers authored by Yichang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yichang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yichang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yichang Wang. A scholar is included among the top collaborators of Yichang 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 Yichang Wang. Yichang 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, Shijie, Yichang Wang, Chao Zhao, et al.. (2025). A high-frequency artificial nerve based on homogeneously integrated organic electrochemical transistors. Nature Electronics. 8(3). 254–266. 14 indexed citations
2.
Zhang, Beichen, Yichang Wang, Min Zhou, et al.. (2025). Machine learning derived development and validation of extracellular matrix related signature for predicting prognosis in adolescents and young adults glioma. Scientific Reports. 15(1). 28926–28926. 1 indexed citations
3.
Wang, Yichang, Dong Kong, Debin Zhao, et al.. (2024). Estimation of the genetic parameters of sheep growth traits based on machine vision acquisition. animal. 18(7). 101196–101196. 1 indexed citations
4.
Feng, Shijian, Dan Tang, Yichang Wang, et al.. (2023). The mechanism of ferroptosis and its related diseases. Molecular Biomedicine. 4(1). 33–33. 106 indexed citations breakdown →
5.
Chen, Xiaohong, Wei Wu, Yichang Wang, et al.. (2023). Development of prognostic indicator based on NAD+ metabolism related genes in glioma. Frontiers in Surgery. 10. 1071259–1071259. 3 indexed citations
6.
Li, Xiaodong, Yichang Wang, Wei Wu, et al.. (2022). A Novel Risk Score Model Based on Eleven Extracellular Matrix-Related Genes for Predicting Overall Survival of Glioma Patients. Journal of Oncology. 2022. 1–20. 4 indexed citations
7.
Wang, Yichang, Gang Bao, Miao Zhang, et al.. (2022). CRB2 enhances malignancy of glioblastoma via activation of the NF-κB pathway. Experimental Cell Research. 414(1). 113077–113077. 7 indexed citations
8.
Xiang, Jianyang, Alafate Wahafu, Wei Wu, et al.. (2022). NEK2 enhances malignancies of glioblastoma via NIK/NF-κB pathway. Cell Death and Disease. 13(1). 58–58. 20 indexed citations
9.
Tang, Dan, Yichang Wang, Yiqiong Yuan, et al.. (2022). Scramblases and virus infection. BioEssays. 44(12). e2100261–e2100261. 7 indexed citations
10.
Wang, Yichang, et al.. (2022). A novel DNA damage and repair‐related gene signature to improve predictive capacity of overall survival for patients with gliomas. Journal of Cellular and Molecular Medicine. 26(13). 3736–3750. 6 indexed citations
11.
Wu, Wei, Yichang Wang, Chen Niu, et al.. (2021). Retinol binding protein 1‐dependent activation of NF‐ κB signaling enhances the malignancy of non‐glioblastomatous diffuse gliomas. Cancer Science. 113(2). 517–528. 7 indexed citations
12.
Wang, Yichang, Alafate Wahafu, Wei Wu, et al.. (2021). FABP5 enhances malignancies of lower‐grade gliomas via canonical activation of NF‐κB signaling. Journal of Cellular and Molecular Medicine. 25(9). 4487–4500. 24 indexed citations
13.
Wu, Wei, Alafate Wahafu, Yichang Wang, et al.. (2020). Preoperative Prediction Nomogram Based on Integrated Profiling for Glioblastoma Multiforme in Glioma Patients. Frontiers in Oncology. 10. 1750–1750. 8 indexed citations
14.
Liu, Kai‐Li, Xiao‐Jing Yu, Tianze Sun, et al.. (2020). Effects of seawater immersion on open traumatic brain injury in rabbit model. Brain Research. 1743. 146903–146903. 6 indexed citations
15.
Mao, Ping, et al.. (2019). PDZ-Binding Kinase-Dependent Transcriptional Regulation of CCNB2 Promotes Tumorigenesis and Radio-Resistance in Glioblastoma. Translational Oncology. 13(2). 287–294. 24 indexed citations
17.
Huang, Xiaowen, Jianfeng Gao, Liang Qi, et al.. (2015). In-situ LA–ICP–MS trace elements analysis of magnetite: The Fenghuangshan Cu–Fe–Au deposit, Tongling, Eastern China. Ore Geology Reviews. 72. 746–759. 49 indexed citations
18.
Wang, Yichang, et al.. (1991). Kinds of mutations found when a shuttle vector containing adducts of 1,6-dinitropyrene replicates in human cells. Carcinogenesis. 12(1). 119–126. 21 indexed citations
19.
Grimes, Howard D., et al.. (1989). Regeneration of Indica Rice (Oryza sativa L.) from Primary Callus Derived from Immature Embryos. Journal of Plant Physiology. 135(2). 184–190. 52 indexed citations
20.
Wang, Yichang, Theodore M. Klein, Michael Fromm, et al.. (1988). Transient expression of foreign genes in rice, wheat and soybean cells following particle bombardment. Plant Molecular Biology. 11(4). 433–439. 126 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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