Keshi Chen

2.5k total citations
21 papers, 749 citations indexed

About

Keshi Chen is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Keshi Chen has authored 21 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Surgery. Recurrent topics in Keshi Chen's work include Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (7 papers) and Mitochondrial Function and Pathology (4 papers). Keshi Chen is often cited by papers focused on Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (7 papers) and Mitochondrial Function and Pathology (4 papers). Keshi Chen collaborates with scholars based in China, Hong Kong and United States. Keshi Chen's co-authors include Duanqing Pei, Guangjin Pan, Miguel A. Esteban, Jianguo Yang, Tao Wang, Xi Shi, Xiaoming Zeng, Lingwen Zeng, Yun Wu and Xingguo Liu and has published in prestigious journals such as The EMBO Journal, Hepatology and Cell Metabolism.

In The Last Decade

Keshi Chen

20 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keshi Chen China 12 574 99 66 64 52 21 749
Lauren DeVine United States 11 560 1.0× 244 2.5× 53 0.8× 35 0.5× 82 1.6× 27 821
Zhen Shi China 14 386 0.7× 81 0.8× 33 0.5× 19 0.3× 25 0.5× 36 569
Anna Brózik Hungary 13 291 0.5× 47 0.5× 44 0.7× 34 0.5× 48 0.9× 17 536
Alexis Schubert Germany 7 650 1.1× 63 0.6× 24 0.4× 32 0.5× 42 0.8× 8 791
Vivian Rodriguez‐Cruz United States 8 474 0.8× 265 2.7× 20 0.3× 17 0.3× 79 1.5× 11 819
Zhengquan Yu China 10 416 0.7× 141 1.4× 65 1.0× 24 0.4× 55 1.1× 25 678
Carlo Gesualdo Italy 16 307 0.5× 76 0.8× 46 0.7× 29 0.5× 37 0.7× 35 655
Doris Müller Germany 11 366 0.6× 54 0.5× 31 0.5× 61 1.0× 21 0.4× 13 575
Ana Ortega Spain 18 594 1.0× 231 2.3× 18 0.3× 70 1.1× 41 0.8× 45 851
Kang‐Sik Park South Korea 12 334 0.6× 73 0.7× 35 0.5× 30 0.5× 64 1.2× 19 607

Countries citing papers authored by Keshi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Keshi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keshi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Keshi Chen. A scholar is included among the top collaborators of Keshi Chen 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 Keshi Chen. Keshi Chen 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.
2.
Li, Linpeng, et al.. (2023). Lactate and protein lactylation: the ugly duckling of energy as the sculpture artist of proteins. Science Bulletin. 68(21). 2510–2514. 22 indexed citations
3.
Wu, Yi, Keshi Chen, Linpeng Li, et al.. (2022). Plin2-mediated lipid droplet mobilization accelerates exit from pluripotency by lipidomic remodeling and histone acetylation. Cell Death and Differentiation. 29(11). 2316–2331. 35 indexed citations
4.
Long, Qi, Juntao Qi, Wei Li, et al.. (2021). Protocol for detecting chromatin dynamics and screening chromatin relaxer by FRAP assay. STAR Protocols. 2(3). 100706–100706. 1 indexed citations
5.
Li, Linpeng, Keshi Chen, Yi Wu, Xiang Ge, & Xingguo Liu. (2021). Epigenome-Metabolome-Epigenome signaling cascade in cell biological processes. Journal of genetics and genomics. 49(4). 279–286. 8 indexed citations
6.
Chen, Keshi, Qi Long, Guangsuo Xing, et al.. (2019). Heterochromatin loosening by the Oct4 linker region facilitates Klf4 binding and iPSC reprogramming. The EMBO Journal. 39(1). e99165–e99165. 35 indexed citations
7.
Wu, Yi, Keshi Chen, Guangsuo Xing, et al.. (2019). Phospholipid remodeling is critical for stem cell pluripotency by facilitating mesenchymal-to-epithelial transition. Science Advances. 5(11). eaax7525–eaax7525. 41 indexed citations
8.
Zhou, Yanshuang, Qi Long, Hao Wu, et al.. (2019). Topology-dependent, bifurcated mitochondrial quality control under starvation. Autophagy. 16(3). 562–574. 35 indexed citations
9.
Bao, Feixiang, Hongyan Shi, Mi Gao, et al.. (2018). Polybrene induces neural degeneration by bidirectional Ca2+ influx-dependent mitochondrial and ER–mitochondrial dynamics. Cell Death and Disease. 9(10). 966–966. 12 indexed citations
10.
Li, Linpeng, Keshi Chen, Yi Wu, et al.. (2017). Gadd45a opens up the promoter regions of miR-295 facilitating pluripotency induction. Cell Death and Disease. 8(10). e3107–e3107. 5 indexed citations
11.
Chen, Keshi, et al.. (2017). Relationship Between Mixed-use and Urban Elements Size in City Central District: The Enlightenment of Singapore Marina Bay Mode. Urban Planning International. 32(5). 96–103. 1 indexed citations
12.
Ying, Zhongfu, Keshi Chen, Lingjun Zheng, et al.. (2015). Transient Activation of Mitoflashes Modulates Nanog at the Early Phase of Somatic Cell Reprogramming. Cell Metabolism. 23(1). 220–226. 22 indexed citations
13.
14.
Wu, Yi, Keshi Chen, Xiyin Liu, et al.. (2015). Srebp-1 Interacts with c-Myc to Enhance Somatic Cell Reprogramming. Stem Cells. 34(1). 83–92. 49 indexed citations
15.
Zhao, Danyun, Yi Wu, & Keshi Chen. (2014). Tbx3 isoforms are involved in pluripotency maintaining through distinct regulation of Nanog transcriptional activity. Biochemical and Biophysical Research Communications. 444(3). 411–414. 15 indexed citations
16.
Liu, Wenbo, Qi Long, Keshi Chen, et al.. (2013). Mitochondrial metabolism transition cooperates with nuclear reprogramming during induced pluripotent stem cell generation. Biochemical and Biophysical Research Communications. 431(4). 767–771. 22 indexed citations
17.
Wang, Tao, Keshi Chen, Xiaoming Zeng, et al.. (2011). The Histone Demethylases Jhdm1a/1b Enhance Somatic Cell Reprogramming in a Vitamin-C-Dependent Manner. Cell stem cell. 9(6). 575–587. 358 indexed citations
18.
Chen, Keshi, et al.. (1998). <title>Similarity-based retrieval of images using color histograms</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3656. 643–652. 6 indexed citations
19.
Chen, Keshi & Tenkasi V. Ramabadran. (1993). Reversible compression of medical images with adaptive context selection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1897. 503–503. 2 indexed citations
20.
Ramabadran, Tenkasi V. & Keshi Chen. (1990). <title>Efficient compression of medical images through arithmetic coding</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1234. 761–775. 4 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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