Yongsheng Chang

4.7k total citations · 1 hit paper
90 papers, 3.6k citations indexed

About

Yongsheng Chang is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Yongsheng Chang has authored 90 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 27 papers in Physiology and 21 papers in Surgery. Recurrent topics in Yongsheng Chang's work include Adipose Tissue and Metabolism (25 papers), Kruppel-like factors research (17 papers) and Metabolism, Diabetes, and Cancer (13 papers). Yongsheng Chang is often cited by papers focused on Adipose Tissue and Metabolism (25 papers), Kruppel-like factors research (17 papers) and Metabolism, Diabetes, and Cancer (13 papers). Yongsheng Chang collaborates with scholars based in China, United States and Germany. Yongsheng Chang's co-authors include Fude Fang, Xingxing Kong, Huabing Zhang, Xiaojun Liu, Yuan Xue, Nishith Gupta, Liuluan Zhu, Aibin He, Rui Wang and Yong Chen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Yongsheng Chang

87 papers receiving 3.6k citations

Hit Papers

Sirtuin 3, a New Target of PGC-1α, Plays an Important Rol... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongsheng Chang China 31 1.9k 1.0k 772 715 476 90 3.6k
Hanrui Zhang United States 36 1.3k 0.7× 1.0k 1.0× 754 1.0× 392 0.5× 323 0.7× 93 4.1k
Lin Yan China 35 2.3k 1.2× 701 0.7× 793 1.0× 589 0.8× 185 0.4× 147 4.4k
Li Qiang United States 32 2.2k 1.2× 1.9k 1.9× 1.4k 1.8× 358 0.5× 681 1.4× 68 4.6k
Weixun Duan China 32 1.4k 0.8× 689 0.7× 536 0.7× 327 0.5× 528 1.1× 106 3.8k
Thomas Pulinilkunnil Canada 37 2.5k 1.3× 1.6k 1.5× 865 1.1× 363 0.5× 219 0.5× 80 4.7k
Zhenxiao Jin China 33 1.6k 0.9× 691 0.7× 512 0.7× 317 0.4× 569 1.2× 94 3.7k
Brice Emanuelli Denmark 20 2.6k 1.4× 1.8k 1.8× 1.3k 1.6× 366 0.5× 305 0.6× 36 5.0k
Sibylle Jäger France 11 3.1k 1.6× 2.0k 2.0× 760 1.0× 379 0.5× 503 1.1× 17 4.6k
Ji Li China 35 2.5k 1.3× 878 0.9× 741 1.0× 332 0.5× 273 0.6× 72 4.2k
Josep A. Villena Spain 27 1.7k 0.9× 1.5k 1.4× 691 0.9× 240 0.3× 224 0.5× 42 3.3k

Countries citing papers authored by Yongsheng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yongsheng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongsheng Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongsheng Chang. A scholar is included among the top collaborators of Yongsheng 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 Yongsheng Chang. Yongsheng 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.
Hao, Jianwei, Yujie Zhang, Tianyi Qiu, et al.. (2025). Krüppel-like factor 9 alleviates Alzheimer’s disease via IDE-mediated Aβ degradation. Acta Pharmacologica Sinica. 46(6). 1556–1566.
2.
Zhao, Ying, Zhihong Wang, Di Wu, et al.. (2025). Irisin Alleviates Impaired Mitochondrial Fusion via Enhancing PKA/SIRT3/mTOR Pathway in Hepatic Steatosis. Journal of Gastroenterology and Hepatology. 40(6). 1616–1630.
3.
Wang, Danni, Jiaqi Zhang, Xinyu Yang, et al.. (2025). Acetylation of the Mitochondrial Chaperone GRP75 Governs ER‐Mitochondrial Calcium Homeostasis and Hepatocyte Insulin Resistance. Advanced Science. 12(46). e08991–e08991. 1 indexed citations
4.
Wang, Xueying, et al.. (2024). Thermal modified sediments photocatalyst: A new strategy using waste to treat waste for tetracycline degradation and transformation product-associated risks. Journal of Water Process Engineering. 64. 105719–105719. 8 indexed citations
5.
Wen, Xin, Jie Liu, Qianqian Wei, et al.. (2024). miR-548ag promotes DPP4 expression in hepatocytes through activation of TLR(7/8)/NF-κB pathway. International Journal of Obesity. 48(7). 941–953. 4 indexed citations
6.
Zhang, Yinliang, Wei Wang, Wei Qiao, et al.. (2024). Glucocorticoids increase adiposity by stimulating Krüppel-like factor 9 expression in macrophages. Nature Communications. 15(1). 1190–1190. 18 indexed citations
7.
Chen, Wei, Jingyi Wang, Zijing Wang, et al.. (2024). Capture of regulatory factors via CRISPR–dCas9 for mechanistic analysis of fine-tuned SERRATE expression in Arabidopsis. Nature Plants. 10(1). 86–99. 7 indexed citations
8.
Zhang, Lei, Menglin Zhang, Jinlong Huang, et al.. (2024). Klf9 is essential for cardiac mitochondrial homeostasis. Nature Cardiovascular Research. 3(11). 1318–1336. 4 indexed citations
9.
Zhang, Yujie, Menglin Zhang, Xi Zhang, et al.. (2023). Foxj3 Regulates Thermogenesis of Brown and Beige Fat Via Induction of PGC-1α. Diabetes. 73(2). 178–196. 4 indexed citations
10.
Yang, Xin, et al.. (2023). KLF7 promotes adipocyte inflammation and glucose metabolism disorder by activating the PKCζ / NF‐κB pathway. The FASEB Journal. 37(7). e23033–e23033. 6 indexed citations
11.
Fan, Yatong, Wei Qiao, Lu Tan, et al.. (2022). Forkhead Box i2 Transcription Factor Regulates Systemic Energy Metabolism Via Neuropeptide AgRP. Diabetes. 71(10). 2106–2122. 3 indexed citations
12.
Yang, Xin, Jingzhou Wang, Jianxin Xie, et al.. (2022). Obesity-induced elevated palmitic acid promotes inflammation and glucose metabolism disorders through GPRs/NF-κB/KLF7 pathway. Nutrition and Diabetes. 12(1). 23–23. 33 indexed citations
13.
Wang, Cuizhe, Jingzhou Wang, Jiaojiao Zhu, et al.. (2021). PA and OA induce abnormal glucose metabolism by inhibiting KLF15 in adipocytes. Nutrition & Metabolism. 18(1). 100–100. 5 indexed citations
14.
Li, Menghuan, Jingzhou Wang, Xin Yang, et al.. (2021). miR‐4431 targets TRIP10/PRKD1 and impairs glucose metabolism. Journal of Diabetes Investigation. 13(4). 617–627. 7 indexed citations
15.
Fan, Heng, Yujie Zhang, Jun Zhang, et al.. (2020). Cold-Inducible Klf9 Regulates Thermogenesis of Brown and Beige Fat. Diabetes. 69(12). 2603–2618. 36 indexed citations
16.
Jiang, Qingkui, Constanze C. Maresch, Agnieszka Paradowska‐Dogan, et al.. (2020). Elevated CCL2 causes Leydig cell malfunction in metabolic syndrome. JCI Insight. 5(21). 20 indexed citations
17.
Chen, Zhenzhen, Junpei Wang, Yuhong Meng, et al.. (2020). Repurposing Doxepin to Ameliorate Steatosis and Hyperglycemia by Activating FAM3A Signaling Pathway. Diabetes. 69(6). 1126–1139. 24 indexed citations
18.
Yang, Rui, Boxi Kang, Bin Chen, et al.. (2019). CDK5RAP3, a UFL1 substrate adaptor, is critical for liver development. Development. 146(2). 49 indexed citations
19.
Zou, Yongkang, Ying Cui, Xiaojuan Wang, et al.. (2015). Forkhead Box P1 (FOXP1) Transcription Factor Regulates Hepatic Glucose Homeostasis. Journal of Biological Chemistry. 290(51). 30607–30615. 24 indexed citations
20.

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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