Chang Sun

783 total citations
10 papers, 599 citations indexed

About

Chang Sun is a scholar working on Molecular Biology, Pharmacology and Rehabilitation. According to data from OpenAlex, Chang Sun has authored 10 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pharmacology and 1 paper in Rehabilitation. Recurrent topics in Chang Sun's work include Mitochondrial Function and Pathology (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Hormonal and reproductive studies (1 paper). Chang Sun is often cited by papers focused on Mitochondrial Function and Pathology (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Hormonal and reproductive studies (1 paper). Chang Sun collaborates with scholars based in China, United States and Hong Kong. Chang Sun's co-authors include Qing‐Peng Kong, Yong‐Gang Yao, Alessandro Achilli, Zhong Li, Hans‐Jürgen Bandelt, Chunling Zhu, Shi‐Fang Wu, Antonio Torroni, Ya‐Ping Zhang and Antonio Salas and has published in prestigious journals such as PLoS ONE, JNCI Journal of the National Cancer Institute and Human Molecular Genetics.

In The Last Decade

Chang Sun

8 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chang Sun China	7	400	161	117	85	60	10	599
Renato Robledo Italy	12	229 0.6×	200 1.2×	27 0.2×	10 0.1×	11 0.2×	34	394
Hitoshi Mikami Japan	13	175 0.4×	169 1.0×	27 0.2×	112 1.3×	25 0.4×	50	435
Xingyi Hang China	12	242 0.6×	58 0.4×	33 0.3×	12 0.1×	66 1.1×	17	433
Eric Aeby Switzerland	11	557 1.4×	74 0.5×	69 0.6×	12 0.1×	100 1.7×	12	705
M. Ehn Sweden	8	261 0.7×	39 0.2×	40 0.3×	7 0.1×	22 0.4×	9	375
Nono Takeuchi Japan	17	763 1.9×	94 0.6×	40 0.3×	60 0.7×	37 0.6×	24	840
Amrita Kabi United States	8	255 0.6×	174 1.1×	105 0.9×	8 0.1×	15 0.3×	11	453
Lisa L. Freeman-Cook United States	9	400 1.0×	45 0.3×	42 0.4×	28 0.3×	9 0.1×	10	499
Ana B. Oromendia United States	4	266 0.7×	91 0.6×	45 0.4×	7 0.1×	45 0.8×	7	409
Irantzu Tato Spain	8	338 0.8×	125 0.8×	37 0.3×	6 0.1×	59 1.0×	8	514

Countries citing papers authored by Chang Sun

Since Specialization

Citations

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

Fields of papers citing papers by Chang Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Sun

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Liu, Kang, Xiangling Li, Chang Sun, et al.. (2025). Comparative analysis of translatomics and transcriptomics in the longissimus dorsi muscle of Luchuan and Duroc pigs. PLoS ONE. 20(3). e0319399–e0319399.

Sun, Meng, Han Zhu, Yu Yang, et al.. (2025). Role of the Wnt signaling pathway in the complex microenvironment of breast cancer and prospects for therapeutic potential (Review). International Journal of Oncology. 66(5). 1–22.

Zhou, Xing, et al.. (2019). Isoliquiritigenin inhibits the proliferation, apoptosis and migration of osteosarcoma cells. Oncology Reports. 41(4). 2502–2510. 15 indexed citations

Li, Qi-Gang, Yonghan He, Huan Wu, et al.. (2017). A Normalization-Free and Nonparametric Method Sharpens Large-Scale Transcriptome Analysis and Reveals Common Gene Alteration Patterns in Cancers. Theranostics. 7(11). 2888–2899. 15 indexed citations

Liu, Jia, et al.. (2013). Mitochondrial DNA Content Contributes to Climate Adaptation Using Chinese Populations as a Model. PLoS ONE. 8(11). e79536–e79536. 16 indexed citations

Jiang, Dewei, Wei Zhu, Yunchuan Wang, et al.. (2013). Molecular tools for functional genomics in filamentous fungi: Recent advances and new strategies. Biotechnology Advances. 31(8). 1562–1574. 83 indexed citations

Wentzensen, Nicolas, Chang Sun, Arpita Ghosh, et al.. (2012). Methylation of HPV18, HPV31, and HPV45 Genomes and Cervical Intraepithelial Neoplasia Grade 3. JNCI Journal of the National Cancer Institute. 104(22). 1738–1749. 108 indexed citations

Sun, Chang, Dezheng Huo, Barbara Nemesure, et al.. (2011). A signature of balancing selection in the region upstream to the human UGT2B4 gene and implications for breast cancer risk. Human Genetics. 130(6). 767–775. 26 indexed citations

Sun, Chang, Dezheng Huo, Ryan D. Hernandez, et al.. (2011). SNP discovery, expression and cis-regulatory variation in the UGT2B genes. The Pharmacogenomics Journal. 12(4). 287–296. 6 indexed citations

10.

Kong, Qing‐Peng, Hans‐Jürgen Bandelt, Chang Sun, et al.. (2006). Updating the East Asian mtDNA phylogeny: a prerequisite for the identification of pathogenic mutations. Human Molecular Genetics. 15(13). 2076–2086. 330 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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