Chengzu Long

6.5k total citations · 4 hit papers
32 papers, 5.1k citations indexed

About

Chengzu Long is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Chengzu Long has authored 32 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Chengzu Long's work include CRISPR and Genetic Engineering (14 papers), Muscle Physiology and Disorders (6 papers) and Pluripotent Stem Cells Research (5 papers). Chengzu Long is often cited by papers focused on CRISPR and Genetic Engineering (14 papers), Muscle Physiology and Disorders (6 papers) and Pluripotent Stem Cells Research (5 papers). Chengzu Long collaborates with scholars based in United States, China and Germany. Chengzu Long's co-authors include She Chen, Rhonda Bassel‐Duby, Eric N. Olson, John M. Shelton, John McAnally, Alex A. Mireault, Hui Li, Leonela Amoasii, Feng Shao and Huanyu Zhou and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Chengzu Long

32 papers receiving 5.0k citations

Hit Papers

Sorting of Small RNAs into Arabidopsis Argonaute Complexe... 2007 2026 2013 2019 2008 2015 2014 2007 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengzu Long United States 24 3.5k 1.8k 826 331 321 32 5.1k
Evan H. Whitehead United States 10 5.5k 1.6× 429 0.2× 1.0k 1.3× 286 0.9× 94 0.3× 20 6.2k
Robert C. Orchard United States 22 2.7k 0.8× 272 0.2× 703 0.9× 362 1.1× 199 0.6× 45 4.1k
Benjamin P. Kleinstiver United States 28 8.4k 2.4× 1.0k 0.6× 1.9k 2.3× 324 1.0× 86 0.3× 66 8.7k
Alejandro Chavez United States 27 4.3k 1.2× 423 0.2× 736 0.9× 114 0.3× 51 0.2× 48 5.2k
Aditya Raguram United States 19 6.6k 1.9× 1.2k 0.6× 1.9k 2.4× 350 1.1× 28 0.1× 23 7.2k
Thomas Lahaye Germany 37 4.3k 1.2× 4.3k 2.4× 861 1.0× 77 0.2× 72 0.2× 76 7.4k
Gavin J. Knott United States 21 3.5k 1.0× 385 0.2× 504 0.6× 172 0.5× 72 0.2× 36 3.9k
Jens Boch Germany 32 3.4k 1.0× 3.3k 1.9× 847 1.0× 58 0.2× 84 0.3× 58 6.1k

Countries citing papers authored by Chengzu Long

Since Specialization
Citations

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

Fields of papers citing papers by Chengzu Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengzu Long

This figure shows the co-authorship network connecting the top 25 collaborators of Chengzu Long. A scholar is included among the top collaborators of Chengzu Long 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 Chengzu Long. Chengzu Long 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.
Yang, Qiaoyan, et al.. (2024). T4 DNA polymerase prevents deleterious on-target DNA damage and enhances precise CRISPR editing. The EMBO Journal. 43(17). 3733–3751. 1 indexed citations
2.
Konishi, Colin T., Qinkun Zhang, Qiaoyan Yang, et al.. (2024). Modeling and correction of protein conformational disease in iPSC-derived neurons through personalized base editing. Molecular Therapy — Nucleic Acids. 36(1). 102441–102441. 2 indexed citations
3.
Konishi, Colin T. & Chengzu Long. (2021). Progress and challenges in CRISPR-mediated therapeutic genome editing for monogenic diseases. Journal of Biomedical Research. 35(2). 148–148. 9 indexed citations
4.
Wang, Jian-Ying, Yu Kang, Qiaoyan Yang, et al.. (2021). <i>PINK1</i> gene mutation by pair truncated sgRNA/Cas9-D10A in cynomolgus monkeys. 动物学研究. 42(4). 469–477. 18 indexed citations
5.
Wang, Fang, Weiqi Zhang, Qiaoyan Yang, et al.. (2020). Generation of a Hutchinson–Gilford progeria syndrome monkey model by base editing. Protein & Cell. 11(11). 809–824. 51 indexed citations
6.
Amoasii, Leonela, Hui Li, Yu Zhang, et al.. (2019). In vivo non-invasive monitoring of dystrophin correction in a new Duchenne muscular dystrophy reporter mouse. Nature Communications. 10(1). 4537–4537. 37 indexed citations
7.
Long, Chengzu, Hui Li, Malte Tiburcy, et al.. (2018). Correction of diverse muscular dystrophy mutations in human engineered heart muscle by single-site genome editing. Science Advances. 4(1). eaap9004–eaap9004. 190 indexed citations
8.
Amoasii, Leonela, Chengzu Long, Hui Li, et al.. (2017). Single-cut genome editing restores dystrophin expression in a new mouse model of muscular dystrophy. Science Translational Medicine. 9(418). 197 indexed citations
9.
Kyrychenko, Viktoriia, Sergii Kyrychenko, Malte Tiburcy, et al.. (2017). Functional correction of dystrophin actin binding domain mutations by genome editing. JCI Insight. 2(18). 81 indexed citations
11.
Long, Chengzu, Leonela Amoasii, Rhonda Bassel‐Duby, & Eric N. Olson. (2016). Genome Editing of Monogenic Neuromuscular Diseases. JAMA Neurology. 73(11). 1349–1349. 28 indexed citations
12.
Long, Chengzu, Leonela Amoasii, Alex A. Mireault, et al.. (2015). Postnatal genome editing partially restores dystrophin expression in a mouse model of muscular dystrophy. Science. 351(6271). 400–403. 701 indexed citations breakdown →
13.
Wang, Jing, H.J. Zhang, Koppara Samuel, et al.. (2015). Effects of dietary pyrroloquinoline quinone disodium on growth, carcass characteristics, redox status, and mitochondria metabolism in broilers. Poultry Science. 94(2). 215–225. 23 indexed citations
14.
Long, Chengzu, John McAnally, John M. Shelton, et al.. (2014). Prevention of muscular dystrophy in mice by CRISPR/Cas9–mediated editing of germline DNA. Science. 345(6201). 1184–1188. 554 indexed citations breakdown →
15.
Xu, Mo, Chengzu Long, Xiuzhen Chen, et al.. (2010). Partitioning of Histone H3-H4 Tetramers During DNA Replication–Dependent Chromatin Assembly. Science. 328(5974). 94–98. 261 indexed citations
16.
Wen, Yuan, Jingwei Xie, Chengzu Long, et al.. (2009). Heterogeneous Nuclear Ribonucleoprotein L Is a Subunit of Human KMT3a/Set2 Complex Required for H3 Lys-36 Trimethylation Activity in Vivo. Journal of Biological Chemistry. 284(23). 15701–15707. 82 indexed citations
17.
Monaghan, Jacqueline, Fang Xu, Minghui Gao, et al.. (2009). Two Prp19-Like U-Box Proteins in the MOS4-Associated Complex Play Redundant Roles in Plant Innate Immunity. PLoS Pathogens. 5(7). e1000526–e1000526. 138 indexed citations
18.
Mi, Shijun, Tao Cai, Yemiao Chen, et al.. (2008). Sorting of Small RNAs into Arabidopsis Argonaute Complexes Is Directed by the 5′ Terminal Nucleotide. Cell. 133(1). 116–127. 1053 indexed citations breakdown →
19.
Zhu, Yongqun, Hongtao Li, Chengzu Long, et al.. (2007). Structural Insights into the Enzymatic Mechanism of the Pathogenic MAPK Phosphothreonine Lyase. Molecular Cell. 28(5). 899–913. 113 indexed citations
20.
Li, Hongtao, Hao Xu, Yan Zhou, et al.. (2007). The Phosphothreonine Lyase Activity of a Bacterial Type III Effector Family. Science. 315(5814). 1000–1003. 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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