Chao‐Po Lin

3.3k total citations
44 papers, 2.5k citations indexed

About

Chao‐Po Lin is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chao‐Po Lin has authored 44 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chao‐Po Lin's work include Cancer therapeutics and mechanisms (9 papers), CRISPR and Genetic Engineering (9 papers) and Pluripotent Stem Cells Research (7 papers). Chao‐Po Lin is often cited by papers focused on Cancer therapeutics and mechanisms (9 papers), CRISPR and Genetic Engineering (9 papers) and Pluripotent Stem Cells Research (7 papers). Chao‐Po Lin collaborates with scholars based in China, United States and Canada. Chao‐Po Lin's co-authors include Leroy F. Liu, Yi Lisa Lyu, Anna M. Azarova, Yuan‐Chin Tsai, Yi Ban, Lin He, John E. Kerrigan, James C. Wang, Nobuhiro Okada and Xingyue He and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Chao‐Po Lin

44 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao‐Po Lin China 23 1.9k 688 551 415 150 44 2.5k
Michael A. Erb United States 24 2.5k 1.3× 555 0.8× 120 0.2× 102 0.2× 111 0.7× 49 2.9k
A Hönig Germany 27 1.3k 0.7× 660 1.0× 534 1.0× 124 0.3× 37 0.2× 76 2.6k
Jean‐Marc Brondello France 21 2.0k 1.0× 413 0.6× 548 1.0× 38 0.1× 75 0.5× 43 2.9k
Joseph Gera United States 28 2.4k 1.3× 592 0.9× 396 0.7× 63 0.2× 78 0.5× 60 3.0k
Òscar M. Tirado Spain 28 952 0.5× 435 0.6× 297 0.5× 81 0.2× 72 0.5× 57 1.8k
Raymond R. Mattingly United States 30 1.4k 0.7× 648 0.9× 414 0.8× 65 0.2× 50 0.3× 70 2.3k
Fabio Cerignoli United States 22 1.1k 0.6× 293 0.4× 231 0.4× 175 0.4× 34 0.2× 30 1.6k
Jessica A. Kilgore United States 11 1.6k 0.8× 291 0.4× 192 0.3× 32 0.1× 109 0.7× 18 2.0k
Carina Hellberg Sweden 24 1.4k 0.8× 346 0.5× 235 0.4× 44 0.1× 43 0.3× 35 2.0k
Hua Miao United States 9 2.0k 1.0× 684 1.0× 492 0.9× 39 0.1× 295 2.0× 11 2.6k

Countries citing papers authored by Chao‐Po Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Po Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao‐Po Lin. 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 Chao‐Po Lin. The network helps show where Chao‐Po Lin may publish in the future.

Co-authorship network of co-authors of Chao‐Po Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Po Lin. A scholar is included among the top collaborators of Chao‐Po Lin 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 Chao‐Po Lin. Chao‐Po Lin 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.
Zhao, Simeng, Cenfeng Chu, S. Dai, et al.. (2025). Deciphering enhancers of hearing loss genes for efficient and targeted gene therapy of hereditary deafness. Neuron. 113(10). 1579–1596.e5. 1 indexed citations
2.
Lv, Bo, Yao Yao, Zhigang Xue, et al.. (2024). CTNND1 affects trophoblast proliferation and specification during human embryo implantation. Biology of Reproduction. 112(1). 46–53. 1 indexed citations
3.
Cui, Long, Fang Li, Lili Zhuang, et al.. (2023). Sperm-borne microRNA-34c regulates maternal mRNA degradation and preimplantation embryonic development in mice. Reproductive Biology and Endocrinology. 21(1). 40–40. 14 indexed citations
4.
Wang, Tengfei, Yuanyuan Shi, Peipei Jiang, et al.. (2023). Chemical-induced phase transition and global conformational reorganization of chromatin. Nature Communications. 14(1). 5556–5556. 15 indexed citations
5.
Zhang, Zhenwu, Xinyu Bao, & Chao‐Po Lin. (2023). Progress and Prospects of Gene Editing in Pluripotent Stem Cells. Biomedicines. 11(8). 2168–2168. 9 indexed citations
6.
Zhao, Xiaoya, Zhenwu Zhang, Qian Zhu, et al.. (2023). Modeling human ectopic pregnancies with trophoblast and vascular organoids. Cell Reports. 42(6). 112546–112546. 7 indexed citations
7.
Mao, Qian, Jingwei Jiang, Lili Zhuang, et al.. (2023). Murine trophoblast organoids as a model for trophoblast development and CRISPR-Cas9 screening. Developmental Cell. 58(24). 2992–3008.e7. 6 indexed citations
8.
Tao, Yong, Yang Liu, Cenfeng Chu, et al.. (2022). AAV-ie-K558R mediated cochlear gene therapy and hair cell regeneration. Signal Transduction and Targeted Therapy. 7(1). 109–109. 52 indexed citations
9.
Zhang, Zhenwu, Wanyu Tao, Shisheng Huang, et al.. (2022). Engineering an adenine base editor in human embryonic stem cells with minimal DNA and RNA off-target activities. Molecular Therapy — Nucleic Acids. 29. 502–510. 3 indexed citations
10.
Jiang, Zhen, Teng Feng, Chao‐Po Lin, et al.. (2021). PDGFRb+ mesenchymal cells, but not NG2+ mural cells, contribute to cardiac fat. Cell Reports. 34(5). 108697–108697. 13 indexed citations
11.
Li, Hui, Jie Yang, Quan Wang, et al.. (2020). Organized cannabinoid receptor distribution in neurons revealed by super-resolution fluorescence imaging. Nature Communications. 11(1). 5699–5699. 21 indexed citations
12.
Tao, Yong, et al.. (2020). Recent development of AAV-based gene therapies for inner ear disorders. Gene Therapy. 27(7-8). 329–337. 19 indexed citations
13.
Choi, Yong Jin, Chao‐Po Lin, Davide Risso, et al.. (2017). Deficiency of microRNA miR-34a expands cell fate potential in pluripotent stem cells. Science. 355(6325). 119 indexed citations
14.
Okada, Nobuhiro, Chao‐Po Lin, Marcelo C. Ribeiro, et al.. (2014). A positive feedback between p53 and miR-34 miRNAs mediates tumor suppression. Genes & Development. 28(5). 438–450. 246 indexed citations
15.
Lin, Chao‐Po, Yong Jin Choi, Geoffrey G. Hicks, & Lin He. (2012). The emerging functions of the p53-miRNA network in stem cell biology. Cell Cycle. 11(11). 2063–2072. 35 indexed citations
16.
Lin, Chao‐Po, Yi Ban, Yi Lisa Lyu, & Leroy F. Liu. (2009). Proteasome-dependent Processing of Topoisomerase I-DNA Adducts into DNA Double Strand Breaks at Arrested Replication Forks. Journal of Biological Chemistry. 284(41). 28084–28092. 62 indexed citations
17.
Tsai, Yuan‐Chin, Haiyan Qi, Chao‐Po Lin, et al.. (2009). A G-quadruplex Stabilizer Induces M-phase Cell Cycle Arrest. Journal of Biological Chemistry. 284(34). 22535–22543. 40 indexed citations
18.
Lin, Chao‐Po, Yi Ban, Yi Lisa Lyu, Shyamal D. Desai, & Leroy F. Liu. (2008). A Ubiquitin-Proteasome Pathway for the Repair of Topoisomerase I-DNA Covalent Complexes. Journal of Biological Chemistry. 283(30). 21074–21083. 95 indexed citations
19.
Qi, Haiyan, Chao‐Po Lin, Laurence M. Wood, et al.. (2006). G-Quadruplexes Induce Apoptosis in Tumor Cells. Cancer Research. 66(24). 11808–11816. 67 indexed citations
20.
Lin, Chao‐Po. (1997). A cruciform-dumbbell model for inverted dimer formation mediated by inverted repeats. Nucleic Acids Research. 25(15). 3009–3016. 25 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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