Shi Chang

2.7k total citations
93 papers, 2.0k citations indexed

About

Shi Chang is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shi Chang has authored 93 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 22 papers in Surgery and 19 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shi Chang's work include Thyroid Cancer Diagnosis and Treatment (18 papers), Liver physiology and pathology (7 papers) and Thyroid and Parathyroid Surgery (7 papers). Shi Chang is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (18 papers), Liver physiology and pathology (7 papers) and Thyroid and Parathyroid Surgery (7 papers). Shi Chang collaborates with scholars based in China, United States and Singapore. Shi Chang's co-authors include Hanry Yu, Huaming Yang, Peng Huang, Yi‐Chin Toh, Mei Long, Yi Zhang, Yuehua Hu, Linfeng Mao, Dietmar W. Hutmacher and Victor Samper and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Shi Chang

85 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Chang China 22 579 509 368 341 228 93 2.0k
Xiaoxuan Xu China 29 673 1.2× 1.1k 2.2× 167 0.5× 298 0.9× 253 1.1× 103 2.8k
Wen Li China 24 283 0.5× 407 0.8× 426 1.2× 391 1.1× 81 0.4× 156 2.0k
Jianhua Wang China 22 722 1.2× 682 1.3× 494 1.3× 214 0.6× 699 3.1× 106 2.9k
Han Jiang China 30 756 1.3× 807 1.6× 306 0.8× 375 1.1× 327 1.4× 165 3.0k
Tao Lu China 25 479 0.8× 1.0k 2.0× 297 0.8× 160 0.5× 426 1.9× 116 2.4k
Min Guan China 27 850 1.5× 917 1.8× 399 1.1× 214 0.6× 305 1.3× 65 2.6k
Hongji Zhang United States 28 249 0.4× 795 1.6× 296 0.8× 111 0.3× 386 1.7× 70 2.9k
Xiaomeng Wang China 32 295 0.5× 1.1k 2.3× 300 0.8× 151 0.4× 517 2.3× 127 3.1k
Yulian Wu China 31 569 1.0× 1.2k 2.3× 722 2.0× 282 0.8× 722 3.2× 140 3.4k
Eui Kyun Park South Korea 35 843 1.5× 1.8k 3.5× 511 1.4× 289 0.8× 555 2.4× 170 3.9k

Countries citing papers authored by Shi Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Chang. A scholar is included among the top collaborators of Shi 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 Shi Chang. Shi 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.
Li, Weiping, et al.. (2025). Does Political Connection Stifle Corporate Hypocrisy? Evidence from Greenwashing. Journal of Business Ethics.
2.
Chang, Shi, Xin Zhong, Qingqing Yang, et al.. (2025). Light intensity can significantly regulate cadmium transformation into CdS nanoparticles in microalgae (Dunaliella salina and Phaeodactylum tricornutum). Ecotoxicology and Environmental Safety. 293. 118032–118032.
3.
Zhao, Jianqiao, Wei Zheng, Shi Chang, et al.. (2024). Study on the kinetics and reaction mechanism of low-temperature oxidation of lignite with different coalification. Fuel. 381. 133375–133375. 5 indexed citations
4.
Xia, Tianyi, Lei Cao, Yunjia Zhang, et al.. (2024). ST-GEARS: Advancing 3D downstream research through accurate spatial information recovery. Nature Communications. 15(1). 7806–7806. 1 indexed citations
5.
Wang, Lirong, et al.. (2024). Predicting lymph node metastasis in papillary thyroid carcinoma with Hashimoto’s thyroiditis using regression and network analysis. Scientific Reports. 14(1). 27585–27585. 2 indexed citations
6.
Li, Zhongyu, Xiangde Luo, Peng Huang, et al.. (2024). Ultrasound Nodule Segmentation Using Asymmetric Learning With Simple Clinical Annotation. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 9010–9023. 4 indexed citations
7.
Li, Weiping, et al.. (2024). Bridging the green gap: How digital financial inclusion affects corporate ESG greenwashing. Finance research letters. 69. 106018–106018. 12 indexed citations
9.
Chen, Lu, et al.. (2024). How Many Lymph Nodes are Enough in Thyroidectomy? A Cohort Study Based on Real-World Data. Annals of Surgical Oncology. 32(2). 1149–1157. 1 indexed citations
10.
Chen, Pei‐Jer, Mian Liu, Dengjie Ouyang, et al.. (2023). Age-based factors modulating the required thyroxine dose to achieve thyrotropin suppression in intermediate-and high-risk papillary thyroid cancer. Frontiers in Endocrinology. 14. 1126592–1126592. 3 indexed citations
11.
Wu, Min, et al.. (2023). The potential role of reprogrammed glucose metabolism: an emerging actionable codependent target in thyroid cancer. Journal of Translational Medicine. 21(1). 735–735. 12 indexed citations
12.
Hu, Huiyu, Mian Liu, Dengjie Ouyang, et al.. (2021). A Prediction Model for Contralateral Central Neck Lymph Node Metastases in Unilateral Papillary Thyroid Cancer. International Journal of Endocrinology. 2021. 1–10. 5 indexed citations
13.
Sun, Jinghao, Nan Guan, Feng Li, et al.. (2020). Real-Time Scheduling and Analysis of OpenMP DAG Tasks Supporting Nested Parallelism. IEEE Transactions on Computers. 69(9). 1335–1348. 14 indexed citations
14.
Meng, Jiao, Zhenyu Lv, Yingmin Zhang, et al.. (2020). Precision Redox: The Key for Antioxidant Pharmacology. Antioxidants and Redox Signaling. 34(14). 1069–1082. 80 indexed citations
15.
Chang, Shi. (2013). High-performance SiO/C/G Composite Anode for Lithium Ion Batteries. Journal of Inorganic Materials. 1 indexed citations
16.
Chang, Shi, Huihuan Tang, Cunchuan Wang, et al.. (2012). A Standard Approach to Expose the Recurrent Laryngeal Nerve During Endoscopic Thyroidectomy. Journal of Laparoendoscopic & Advanced Surgical Techniques. 22(3). 259–263. 7 indexed citations
17.
Tiedemann, Rodger E., Jessica Schmidt, Shi Chang, et al.. (2011). Identification of Molecular Vulnerabilities in Human Multiple Myeloma Cells by RNA Interference Lethality Screening of the Druggable Genome. Cancer Research. 72(3). 757–768. 107 indexed citations
18.
Wen, Feng, Shi Chang, Yi‐Chin Toh, et al.. (2008). Development of dual‐compartment perfusion bioreactor for serial coculture of hepatocytes and stellate cells in poly(lactic‐co‐glycolic acid)‐collagen scaffolds. Journal of Biomedical Materials Research Part B Applied Biomaterials. 87B(1). 154–162. 17 indexed citations
19.
Toh, Yi‐Chin, Chi Zhang, Jing Zhang, et al.. (2007). A novel 3D mammalian cell perfusion-culture system in microfluidic channels. Lab on a Chip. 7(3). 302–302. 343 indexed citations
20.
Chang, Shi. (2003). Significance of the changes of vaginal lactobacilli in bacterial vaginosis in pregnant women. Di-san junyi daxue xuebao. 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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