Cheng Chang

5.1k total citations · 1 hit paper
157 papers, 3.8k citations indexed

About

Cheng Chang is a scholar working on Plant Science, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Cheng Chang has authored 157 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 35 papers in Molecular Biology and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Cheng Chang's work include Seed Germination and Physiology (23 papers), Wheat and Barley Genetics and Pathology (17 papers) and Drug Transport and Resistance Mechanisms (14 papers). Cheng Chang is often cited by papers focused on Seed Germination and Physiology (23 papers), Wheat and Barley Genetics and Pathology (17 papers) and Drug Transport and Resistance Mechanisms (14 papers). Cheng Chang collaborates with scholars based in China, United States and Singapore. Cheng Chang's co-authors include Peter W. Swaan, Anant Sahai, W.S. Fred Wong, Sean Ekins, Haiping Zhang, Chuanxi Ma, Praveen M. Bahadduri, Jie Lu, Wanxing Eugene Ho and Choon Nam Ong and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Cheng Chang

143 papers receiving 3.7k citations

Hit Papers

Human umbilical cord-derived mesenchymal stem cells preve... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Chang China 38 1.2k 858 616 395 334 157 3.8k
Guoqing Liu China 33 1.5k 1.3× 633 0.7× 494 0.8× 158 0.4× 349 1.0× 290 3.8k
Haw‐Wen Chen Taiwan 37 1.7k 1.4× 682 0.8× 237 0.4× 400 1.0× 120 0.4× 145 4.0k
Guowen Liu China 44 2.9k 2.5× 458 0.5× 377 0.6× 620 1.6× 829 2.5× 281 7.1k
Tae‐Hoon Lee South Korea 35 2.5k 2.2× 267 0.3× 444 0.7× 490 1.2× 206 0.6× 192 4.5k
Hyo‐Jeong Lee South Korea 44 2.7k 2.3× 859 1.0× 716 1.2× 356 0.9× 168 0.5× 248 5.7k
Yuanyuan Zhang China 37 2.0k 1.7× 293 0.3× 399 0.6× 300 0.8× 169 0.5× 209 4.7k
Guang‐Yu Yang United States 51 2.7k 2.3× 782 0.9× 1.1k 1.8× 746 1.9× 508 1.5× 242 8.6k
Yi‐Wen Huang United States 34 1.9k 1.6× 420 0.5× 300 0.5× 250 0.6× 220 0.7× 135 3.3k
Jia Li China 34 1.8k 1.5× 245 0.3× 420 0.7× 174 0.4× 183 0.5× 254 4.7k
Xiaoqian Wang China 41 2.4k 2.1× 1.1k 1.3× 836 1.4× 579 1.5× 454 1.4× 285 5.4k

Countries citing papers authored by Cheng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Chang. A scholar is included among the top collaborators of Cheng Chang 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 Cheng Chang. Cheng Chang 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.
Dong, Dongdong, Yanhui Li, Min Liu, et al.. (2025). Geometric Structure-Dependent Catalyst Performance in CH4 Reforming Using Ni-Based Catalysts. Catalysts. 15(3). 200–200. 2 indexed citations
2.
Chen, Hongsheng, Xintong Liu, Cheng Chang, et al.. (2025). Optimization of Genomic Breeding Value Estimation Model for Abdominal Fat Traits Based on Machine Learning. Animals. 15(19). 2843–2843.
3.
Bai, Xue, Cheng Chang, Xinquan Li, et al.. (2024). Integrative 3D genomics with multi-omics analysis and functional validation of genetic regulatory mechanisms of abdominal fat deposition in chickens. Nature Communications. 15(1). 9274–9274. 9 indexed citations
4.
Wang, Yuan, Yi Zhang, Jing W. Wang, et al.. (2024). Morphological data of the superior vena cava predicted by multiple linear regression equations. BMC Cardiovascular Disorders. 24(1). 694–694.
5.
Dong, Lei, Guangwei Zhu, Yanfeng Ding, et al.. (2024). Single- and multi-locus genome-wide association study reveals genomic regions of thirteen yield-related traits in common wheat. BMC Plant Biology. 24(1). 1228–1228.
6.
Wang, Hanwen, Cheng Chang, Xiaoqing Song, et al.. (2024). TPE-DNA: Approximate thumbnail preserving encryption based on difference expansion and DNA encoding. Journal of Information Security and Applications. 89. 103938–103938. 2 indexed citations
8.
Liu, Mingli, Chenchen Wang, Qing Xu, et al.. (2023). Genome-wide identification of the CPK gene family in wheat (Triticum aestivum L.) and characterization of TaCPK40 associated with seed dormancy and germination. Plant Physiology and Biochemistry. 196. 608–623. 10 indexed citations
9.
Wang, Jiannan, Jingjing Zhang, Zhenhua Zhang, et al.. (2023). The impact of enhancing publicity and commemoration of body donors at Zhengzhou University, China. Anatomical Sciences Education. 16(3). 405–414. 3 indexed citations
10.
Cao, Jiajia, Jie Lu, Li Zhao, et al.. (2023). Genome-Wide Association Analysis of Grain Hardness in Common Wheat. Genes. 14(3). 672–672. 4 indexed citations
12.
Chang, Cheng, et al.. (2022). Texture Identification and Object Recognition Using a Soft Robotic Hand Innervated Bio-Inspired Proprioception. Machines. 10(3). 173–173. 5 indexed citations
13.
Wang, Yuan, et al.. (2022). Mitochondrial Proteins Unveil the Mechanism by Which Physical Exercise Ameliorates Memory, Learning and Motor Activity in Hypoxic Ischemic Encephalopathy Rat Model. International Journal of Molecular Sciences. 23(8). 4235–4235. 6 indexed citations
14.
Cheng, Xinran, Chang Gao, Xue Liu, et al.. (2022). Characterization of the wheat VQ protein family and expression of candidate genes associated with seed dormancy and germination. BMC Plant Biology. 22(1). 119–119. 8 indexed citations
15.
Chen, Xuemei, et al.. (2022). miR-590-5p Overexpression Alleviates β-Amyloid-Induced Neuron Damage via Targeting Pellino-1. Analytical Cellular Pathology. 2022. 1–13. 7 indexed citations
16.
Pang, Ruiqi, et al.. (2019). The distribution and density of monocarboxylate transporter 2 in cerebral cortex, hippocampus and cerebellum of wild‐type mice. Journal of Anatomy. 236(2). 370–377. 6 indexed citations
17.
Zhang, Bin, et al.. (2015). Biodistribution Characteristics and SPECT Imaging of 99m Tc-RET and 99m Tc-REG in Human Lung Cancer Xenografts. Cancer Biotherapy and Radiopharmaceuticals. 30(3). 117–124. 1 indexed citations
18.
Zhu, Yulei, et al.. (2014). Exploring Molecular Markers of Preharvest Sprouting Resistance Gene Using Wheat Intact Spikes by Association Analysis. ACTA AGRONOMICA SINICA. 40(10). 1725–1732. 8 indexed citations
19.
Ho, Wanxing Eugene, Yong‐Jiang Xu, Fengguo Xu, et al.. (2012). Metabolomics Reveals Altered Metabolic Pathways in Experimental Asthma. American Journal of Respiratory Cell and Molecular Biology. 48(2). 204–211. 90 indexed citations
20.
Bao, Zhang, Cheng Chang, Siew Heng Wong, et al.. (2009). A Novel Antiinflammatory Role for Andrographolide in Asthma via Inhibition of the Nuclear Factor-κB Pathway. American Journal of Respiratory and Critical Care Medicine. 179(8). 657–665. 185 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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