Nannan Chang

1.5k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Nannan Chang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Nannan Chang has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. Recurrent topics in Nannan Chang's work include Congenital heart defects research (10 papers), RNA modifications and cancer (4 papers) and Coronary Artery Anomalies (4 papers). Nannan Chang is often cited by papers focused on Congenital heart defects research (10 papers), RNA modifications and cancer (4 papers) and Coronary Artery Anomalies (4 papers). Nannan Chang collaborates with scholars based in China, India and Hong Kong. Nannan Chang's co-authors include Jing‐Wei Xiong, Xiaojun Zhu, Lu Gao, Jianzhong Xi, Dan Zhu, Changhong Sun, Qing Wu, Chuan‐Yun Li, Huiqing Cao and Ye Bu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.

In The Last Decade

Nannan Chang

15 papers receiving 1.1k citations

Hit Papers

Genome editing with RNA-guided Cas9 nuclease in Zebrafish... 2013 2026 2017 2021 2013 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genome editing with RNA-guided Cas9 nuclease in Zebrafish embryos
    2013 646 citations Nannan Chang, Changhong Sun et al. Cell Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nannan Chang China 11 918 212 154 124 72 15 1.1k
Anne Harrington United States 13 1.1k 1.2× 289 1.4× 236 1.5× 112 0.9× 69 1.0× 20 1.5k
Bennett H. Penn United States 9 1.5k 1.6× 262 1.2× 104 0.7× 103 0.8× 42 0.6× 12 1.6k
Xiangjun Tong China 16 1.1k 1.2× 222 1.0× 222 1.4× 107 0.9× 28 0.4× 33 1.5k
Jarryd M. Campbell United States 9 874 1.0× 276 1.3× 220 1.4× 48 0.4× 33 0.5× 13 1.1k
Kevin A. Peterson United States 16 919 1.0× 191 0.9× 84 0.5× 71 0.6× 49 0.7× 23 1.0k
Isabelle Fernandes France 17 653 0.7× 248 1.2× 90 0.6× 102 0.8× 28 0.4× 26 1.0k
Jaime J. Carvajal United Kingdom 24 1.4k 1.5× 341 1.6× 145 0.9× 125 1.0× 50 0.7× 41 1.8k
Jian-Quan Ni United States 6 761 0.8× 152 0.7× 179 1.2× 94 0.8× 40 0.6× 6 1.1k
Junling Jia China 14 903 1.0× 121 0.6× 276 1.8× 112 0.9× 64 0.9× 19 1.2k
Nuno Miguel Luis France 13 442 0.5× 108 0.5× 124 0.8× 46 0.4× 33 0.5× 18 712

Countries citing papers authored by Nannan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Nannan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nannan Chang

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

All Works

15 of 15 papers shown
1.
Peng, Yuanyuan, Wenyuan Wang, Nannan Chang, et al.. (2021). Inhibition of TGF-β/Smad3 Signaling Disrupts Cardiomyocyte Cell Cycle Progression and Epithelial–Mesenchymal Transition-Like Response During Ventricle Regeneration. Frontiers in Cell and Developmental Biology. 9. 632372–632372. 12 indexed citations
2.
Wang, Wenyuan, Ye‐Fan Hu, Nannan Chang, et al.. (2021). BMP and Notch Signaling Pathways differentially regulate Cardiomyocyte Proliferation during Ventricle Regeneration. International Journal of Biological Sciences. 17(9). 2157–2166. 17 indexed citations
3.
Ma, Zhipeng, Peipei Zhu, Liwei Guo, et al.. (2017). A novel inducible mutagenesis screen enables to isolate and clone both embryonic and adult zebrafish mutants. Scientific Reports. 7(1). 10381–10381. 9 indexed citations
4.
Gao, Lu, Yu Hou, Cong‐Fei Xu, et al.. (2016). Chromatin-remodelling factor Brg1 regulates myocardial proliferation and regeneration in zebrafish. Nature Communications. 7(1). 13787–13787. 64 indexed citations
5.
Lei, Lei, Ran Yang, Jiayu Chen, et al.. (2016). Spliceosomal protein eftud2 mutation leads to p53-dependent apoptosis in zebrafish neural progenitors. Nucleic Acids Research. 45(6). 3422–3436. 60 indexed citations
6.
Qian, Jiang, Nannan Chang, Xiaoxia Wang, et al.. (2016). Small activating RNA binds to the genomic target site in a seed-region-dependent manner. Nucleic Acids Research. 44(5). 2274–2282. 48 indexed citations
7.
Wang, Hongxia, Nannan Chang, Xiaohai Zhou, et al.. (2015). PEG–PLA nanoparticles facilitate siRNA knockdown in adult zebrafish heart. Developmental Biology. 406(2). 196–202. 24 indexed citations
8.
Bu, Ye, Qing Wu, Xu Wang, et al.. (2015). Mecp2 regulates neural cell differentiation by suppressing the Id1 to Her2 axis in zebrafish. Journal of Cell Science. 128(12). 2340–2350. 37 indexed citations
9.
Qian, Jiang, Lingwei Meng, Nannan Chang, et al.. (2014). Small indels induced by CRISPR/Cas9 in the 5′ region of microRNA lead to its depletion and Drosha processing retardance. RNA Biology. 11(10). 1243–1249. 32 indexed citations
10.
Bu, Ye, Fuqin Su, Xu Wang, et al.. (2014). Protein tyrosine phosphatase PTPN9 regulates erythroid cell development through STAT3 dephosphorylation in zebrafish. Journal of Cell Science. 127(Pt 12). 2761–70. 15 indexed citations
11.
Han, Peidong, Xiaohai Zhou, Nannan Chang, et al.. (2014). Hydrogen peroxide primes heart regeneration with a derepression mechanism. Cell Research. 24(9). 1091–1107. 107 indexed citations
12.
Chang, Nannan, Changhong Sun, Lu Gao, et al.. (2013). Genome editing with RNA-guided Cas9 nuclease in Zebrafish embryos. Cell Research. 23(4). 465–472. 646 indexed citations breakdown →
13.
Xiong, Jing‐Wei & Nannan Chang. (2013). Recent advances in heart regeneration. Birth Defects Research Part C Embryo Today Reviews. 99(3). 160–169. 4 indexed citations
14.
Yu, Qingming, Qing Wu, Ye Bu, et al.. (2013). Genetic Interaction between pku300 and fbn2b Controls Endocardial Cell Proliferation and Valve Development in Zebrafish. Journal of Cell Science. 126(Pt 6). 1381–91. 8 indexed citations
15.
Zhen, Yisong, Qing Wu, Nannan Chang, et al.. (2012). Overlapping Cardiac Programs in Heart Development and Regeneration. Journal of genetics and genomics. 39(9). 443–449. 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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