Na Chang

2.7k total citations
47 papers, 1.6k citations indexed

About

Na Chang is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Na Chang has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 16 papers in Immunology and 9 papers in Epidemiology. Recurrent topics in Na Chang's work include Immune cells in cancer (12 papers), Liver physiology and pathology (9 papers) and Sphingolipid Metabolism and Signaling (9 papers). Na Chang is often cited by papers focused on Immune cells in cancer (12 papers), Liver physiology and pathology (9 papers) and Sphingolipid Metabolism and Signaling (9 papers). Na Chang collaborates with scholars based in China, Poland and United States. Na Chang's co-authors include Liying Li, Le Yang, Lin Yang, Weiyang Li, Jianlei Zhang, Xuan Zhou, Fangfang Zhao, Lin Yang, Xinhao Zhao and Lei Hou and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Na Chang

46 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Na Chang China	26	902	322	303	289	217	47	1.6k
Fei Fang China	22	832 0.9×	272 0.8×	256 0.8×	248 0.9×	67 0.3×	66	1.5k
Hongwei Lü China	23	814 0.9×	144 0.4×	244 0.8×	311 1.1×	110 0.5×	106	1.7k
Hao Qin China	20	692 0.8×	144 0.4×	294 1.0×	261 0.9×	73 0.3×	60	1.5k
Lin Zhong China	22	578 0.6×	159 0.5×	191 0.6×	255 0.9×	83 0.4×	72	1.5k
Wenxiu Zhao China	28	1.4k 1.6×	462 1.4×	242 0.8×	596 2.1×	239 1.1×	67	2.4k
Michael N. VanSaun United States	22	721 0.8×	176 0.5×	350 1.2×	359 1.2×	66 0.3×	41	1.6k
Yuyan Han United States	25	638 0.7×	180 0.6×	423 1.4×	502 1.7×	396 1.8×	52	1.8k
Arnaud Monvoisin France	21	781 0.9×	192 0.6×	82 0.3×	313 1.1×	98 0.5×	31	1.6k
Dou Ke-feng China	26	1.1k 1.2×	169 0.5×	245 0.8×	632 2.2×	280 1.3×	69	1.9k

Countries citing papers authored by Na Chang

Since Specialization

Citations

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

Fields of papers citing papers by Na Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Na Chang. A scholar is included among the top collaborators of Na 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 Na Chang. Na Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xu, Jiahuan, Xiaohua Cao, Na Chang, et al.. (2025). Autistic-like behaviors and impaired chronic inflammatory pain in primary nociceptive neuron-specific deletion of Mecp2 or Fmr1 knockout male mice. Behavioural Brain Research. 486. 115570–115570. 1 indexed citations

Chang, Na, et al.. (2025). CCTA-quantified pericornary inflammation and lipoprotein (a): Combined predictive value in non-obstructive CAD. International Journal of Cardiology. 442. 133887–133887.

Chang, Na, Yuran Liu, Weiyang Li, et al.. (2024). Neutrophil-secreted S100A8/A9 participates in fatty liver injury and fibrosis by promoting myofibroblast migration. Journal of Molecular Medicine. 102(9). 1117–1133. 2 indexed citations

Fang, Meng, Lei Lv, Hong Fu, et al.. (2024). GPR37-enhanced ubiquitination of ATP1A1 inhibits tumor progression and radiation resistance in esophageal squamous cell carcinoma. Cell Death and Disease. 15(12). 933–933. 2 indexed citations

Li, Weiyang, Yuanru Yang, Lin Yang, Na Chang, & Liying Li. (2023). Monocyte-derived Kupffer cells dominate in the Kupffer cell pool during liver injury. Cell Reports. 42(10). 113164–113164. 38 indexed citations

Wang, Peng‐Wei, et al.. (2023). The mechanisms of minocycline in alleviating ischemic stroke damage and cerebral ischemia-reperfusion injury. European Journal of Pharmacology. 955. 175903–175903. 14 indexed citations

Li, Lu, Lei Lv, Junchao Xu, et al.. (2023). RIG-I Promotes Tumorigenesis and Confers Radioresistance of Esophageal Squamous Cell Carcinoma by Regulating DUSP6. International Journal of Molecular Sciences. 24(6). 5586–5586. 2 indexed citations

Lu, Yu, Na Chang, Xinhao Zhao, et al.. (2022). Activated Neutrophils Secrete Chitinase-Like 1 and Attenuate Liver Inflammation by Inhibiting Pro-Inflammatory Macrophage Responses. Frontiers in Immunology. 13. 824385–824385. 6 indexed citations

Li, Weiyang, Na Chang, & Liying Li. (2022). Heterogeneity and Function of Kupffer Cells in Liver Injury. Frontiers in Immunology. 13. 940867–940867. 64 indexed citations

10.

Zhou, Xuan, Le Yang, Xiaoting Fan, et al.. (2020). Neutrophil Chemotaxis and NETosis in Murine Chronic Liver Injury via Cannabinoid Receptor 1/Gαi/o/ROS/p38 MAPK Signaling Pathway. Cells. 9(2). 373–373. 33 indexed citations

11.

Zhao, Fangfang, et al.. (2020). Overexpression of long non-coding RNA SNHG16 against cerebral ischemia-reperfusion injury through miR-106b-5p/LIMK1 axis. Life Sciences. 254. 117778–117778. 19 indexed citations

12.

Zhao, Xinhao, Le Yang, Na Chang, et al.. (2020). Neutrophils undergo switch of apoptosis to NETosis during murine fatty liver injury via S1P receptor 2 signaling. Cell Death and Disease. 11(5). 379–379. 88 indexed citations

13.

Chang, Na, Shunyu Yao, Lei Zhang, et al.. (2018). The Hog1 positive regulated YCT1 gene expression under cadmium tolerance of budding yeast. FEMS Microbiology Letters. 365(17). 6 indexed citations

14.

Zhao, Fangfang, Jianlei Zhang, & Na Chang. (2018). Epigenetic modification of Nrf2 by sulforaphane increases the antioxidative and anti-inflammatory capacity in a cellular model of Alzheimer's disease. European Journal of Pharmacology. 824. 1–10. 103 indexed citations

15.

Chen, Pei, Lei Zhang, Na Chang, et al.. (2018). Preparation of virus-like particles for porcine circovirus type 2 by YeastFab Assembly. Virus Genes. 54(2). 246–255. 8 indexed citations

16.

Liang, Huimin, et al.. (2017). Forkhead Box A2 (FOXA2) Inhibits Invasion and Tumorigenesis in Glioma Cells. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 25(5). 701–708. 8 indexed citations

17.

Liu, Wei, Yang Gao, & Na Chang. (2016). Nurr1 overexpression exerts neuroprotective and anti-inflammatory roles via down-regulating CCL2 expression in both in vivo and in vitro Parkinson's disease models. Biochemical and Biophysical Research Communications. 482(4). 1312–1319. 48 indexed citations

18.

Chang, Na, et al.. (2016). Essential Roles of RNA-binding Protein HuR in Activation of Hepatic Stellate Cells Induced by Transforming Growth Factor-β1. Scientific Reports. 6(1). 22141–22141. 25 indexed citations

19.

Yan, Xiaoyan, Xia Yang, Jiping Gao, et al.. (2015). Sodium Fluoride Induces Apoptosis in H9c2 Cardiomyocytes by Altering Mitochondrial Membrane Potential and Intracellular ROS Level. Biological Trace Element Research. 166(2). 210–215. 46 indexed citations

20.

Xiu, Lei, Na Chang, Le Yang, et al.. (2014). Intracellular Sphingosine 1-Phosphate Contributes to Collagen Expression of Hepatic Myofibroblasts in Human Liver Fibrosis Independent of Its Receptors. American Journal Of Pathology. 185(2). 387–398. 36 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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