Hulin Chang

692 total citations
26 papers, 525 citations indexed

About

Hulin Chang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Hulin Chang has authored 26 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Hulin Chang's work include Cancer-related molecular mechanisms research (4 papers), Cancer Mechanisms and Therapy (3 papers) and Mitochondrial Function and Pathology (3 papers). Hulin Chang is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), Cancer Mechanisms and Therapy (3 papers) and Mitochondrial Function and Pathology (3 papers). Hulin Chang collaborates with scholars based in China, United States and Ethiopia. Hulin Chang's co-authors include Kai Qu, Sinan Liu, Ting Lin, Jichao Wei, Chang Liu, Y.B. Tao, Zichao Huang, Fandi Meng, Kai Qu and Hongxin Zhang and has published in prestigious journals such as Scientific Reports, International Journal of Hydrogen Energy and Applied Thermal Engineering.

In The Last Decade

Hulin Chang

24 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hulin Chang China 14 277 177 86 83 75 26 525
Tong Huang China 12 236 0.9× 107 0.6× 91 1.1× 54 0.7× 84 1.1× 26 485
Sarani Ghoshal United States 10 201 0.7× 117 0.7× 189 2.2× 115 1.4× 120 1.6× 15 529
Jian Ding China 10 287 1.0× 142 0.8× 69 0.8× 51 0.6× 42 0.6× 25 459
Tian Lan China 13 435 1.6× 404 2.3× 120 1.4× 66 0.8× 101 1.3× 21 728
Shengli Dong China 14 361 1.3× 227 1.3× 38 0.4× 130 1.6× 65 0.9× 40 580
Devis Pascut Italy 15 369 1.3× 259 1.5× 78 0.9× 70 0.8× 76 1.0× 35 578
Yu Dai China 10 263 0.9× 83 0.5× 70 0.8× 68 0.8× 110 1.5× 21 449
Yusha Xiao China 14 489 1.8× 332 1.9× 67 0.8× 91 1.1× 54 0.7× 24 838
Jae Woo Jung South Korea 14 255 0.9× 84 0.5× 92 1.1× 97 1.2× 38 0.5× 31 453

Countries citing papers authored by Hulin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hulin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hulin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hulin Chang. A scholar is included among the top collaborators of Hulin 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 Hulin Chang. Hulin 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.
Guo, Zheng, et al.. (2024). Up-regulation of MIC19 promotes growth and metastasis of hepatocellular carcinoma by activating ROS/NF-κB signaling. Translational Oncology. 42. 101906–101906. 1 indexed citations
2.
3.
Chang, Hulin, et al.. (2023). Numerical study on storage performance of metal hydride reactors with multiple spiral fins. International Journal of Hydrogen Energy. 48(90). 35170–35184. 25 indexed citations
4.
Tao, Y.B., et al.. (2023). Structure optimization of a novel porous tree-shaped fin for improving thermochemical heat storage performance. Applied Thermal Engineering. 225. 120190–120190. 14 indexed citations
5.
Geng, Xilin, Zhimin Geng, Hui Li, et al.. (2020). Over‐expression of TFB2M facilitates cell growth and metastasis via activating ROS‐Akt‐NF‐κB signalling in hepatocellular carcinoma. Liver International. 40(7). 1756–1769. 17 indexed citations
6.
Chang, Hulin, Juntang Li, Kai Qu, et al.. (2020). CRIF1 overexpression facilitates tumor growth and metastasis through inducing ROS/NFκB pathway in hepatocellular carcinoma. Cell Death and Disease. 11(5). 332–332. 35 indexed citations
7.
Yang, Tao, Peng Yuan, Yi Yang, et al.. (2019). NPAS2 Contributes to Liver Fibrosis by Direct Transcriptional Activation of Hes1 in Hepatic Stellate Cells. Molecular Therapy — Nucleic Acids. 18. 1009–1022. 20 indexed citations
8.
Zhang, Yu, et al.. (2018). MTP18 overexpression contributes to tumor growth and metastasis and associates with poor survival in hepatocellular carcinoma. Cell Death and Disease. 9(10). 956–956. 28 indexed citations
9.
Qu, Kai, Xing Zhang, Ting Lin, et al.. (2017). Circulating miRNA-21-5p as a diagnostic biomarker for pancreatic cancer: evidence from comprehensive miRNA expression profiling analysis and clinical validation. Scientific Reports. 7(1). 1692–1692. 87 indexed citations
10.
Liu, Xiaoli, Xing‐Ding Zhang, Junxi Xiang, et al.. (2016). Liver Transplantation Using Donation After Brain and Cardiac Death: A Single-Center Experience in China. Transplantation Proceedings. 48(6). 1879–1886. 4 indexed citations
11.
Qu, Kai, Zichao Huang, Ting Lin, et al.. (2016). New Insight into the Anti-liver Fibrosis Effect of Multitargeted Tyrosine Kinase Inhibitors: From Molecular Target to Clinical Trials. Frontiers in Pharmacology. 6. 300–300. 63 indexed citations
12.
Zhang, Jing, Xingchun Zhou, Hulin Chang, et al.. (2016). Hsp60 exerts a tumor suppressor function by inducing cell differentiation and inhibiting invasion in hepatocellular carcinoma. Oncotarget. 7(42). 68976–68989. 32 indexed citations
13.
14.
Qu, Kai, Zhichao Huang, Xinsen Xu, et al.. (2015). Glutathione S-transferase O2 gene rs157077 polymorphism predicts response to transarterial chemoembolization in hepatocellular carcinoma. Tumor Biology. 36(8). 6463–6469. 7 indexed citations
15.
Qu, Kai, Ting Lin, Zhixin Wang, et al.. (2014). Reactive oxygen species generation is essential for cisplatininduced accelerated senescence in hepatocellular carcinoma. Frontiers of Medicine. 8(2). 227–235. 37 indexed citations
16.
Tian, Feng, Chang Liu, Qifei Wu, et al.. (2013). Upregulation of Glycoprotein Nonmetastatic B by Colony-Stimulating Factor-1 and Epithelial Cell Adhesion Molecule in Hepatocellular Carcinoma Cells. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 20(8). 341–350. 17 indexed citations
17.
Qu, Kai, Ting Lin, Jichao Wei, et al.. (2013). Cisplatin induces cell cycle arrest and senescence via upregulating P53 and P21 expression in HepG2 cells.. PubMed. 33(9). 1253–9. 32 indexed citations
18.
Xu, Jia, Chang Liu, Lei Zhou, et al.. (2012). Distinctions Between Clinicopathological Factors and Prognosis of Alpha-fetoprotein Negative and Positive Hepatocelluar Carcinoma Patients. Asian Pacific Journal of Cancer Prevention. 13(2). 559–562. 26 indexed citations
19.
Qu, Kai, Hulin Chang, Sinan Liu, et al.. (2012). Prognosis and Management for Gallbladder Cancer with Hepatic Invasion: Long-term Results of 139 Patients from a Single Center in China. Asian Pacific Journal of Cancer Prevention. 13(3). 1015–1018. 8 indexed citations
20.
Qu, Kai, Sinan Liu, Hulin Chang, et al.. (2012). Gallbladder Cancer: a Subtype of Biliary Tract Cancer Which is a Current Challenge in China. Asian Pacific Journal of Cancer Prevention. 13(4). 1317–1320. 10 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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