Jingyang Guan

2.6k total citations · 1 hit paper
11 papers, 1.5k citations indexed

About

Jingyang Guan is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Jingyang Guan has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Biomedical Engineering and 3 papers in Materials Chemistry. Recurrent topics in Jingyang Guan's work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (5 papers) and RNA Interference and Gene Delivery (3 papers). Jingyang Guan is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (5 papers) and RNA Interference and Gene Delivery (3 papers). Jingyang Guan collaborates with scholars based in China, United States and Belgium. Jingyang Guan's co-authors include Hongkui Deng, Yang Zhao, Junqing Ye, Jian Ge, Weifeng Yang, Ting Zhao, Xu Zhang, Jun Xu, Pingping Hou and Yanqin Li and has published in prestigious journals such as Science, Cell and ACS Nano.

In The Last Decade

Jingyang Guan

9 papers receiving 1.5k citations

Hit Papers

Pluripotent Stem Cells Induced from Mouse Somatic Cells b... 2013 2026 2017 2021 2013 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
Jingyang Guan China 8 1.2k 301 251 140 116 11 1.5k
Pingping Hou China 12 1.2k 1.0× 268 0.9× 238 0.9× 124 0.9× 115 1.0× 16 1.7k
Panagiotis Mastorakos United States 19 537 0.4× 387 1.3× 84 0.3× 101 0.7× 191 1.6× 53 1.6k
Ji‐Yun Ko South Korea 18 690 0.6× 228 0.8× 243 1.0× 70 0.5× 271 2.3× 28 1.3k
Ping Gu China 22 810 0.7× 360 1.2× 171 0.7× 73 0.5× 172 1.5× 51 1.6k
Minal Patel United States 16 593 0.5× 273 0.9× 209 0.8× 110 0.8× 208 1.8× 24 1.1k
Sherry T. Hikita United States 15 1.5k 1.2× 305 1.0× 164 0.7× 114 0.8× 425 3.7× 19 2.0k
Sandra Danner Germany 13 501 0.4× 140 0.5× 166 0.7× 89 0.6× 106 0.9× 26 882
Mohammad Massumi Iran 20 591 0.5× 252 0.8× 531 2.1× 100 0.7× 140 1.2× 44 1.3k
Eduard Sleep United States 6 1.5k 1.3× 148 0.5× 393 1.6× 138 1.0× 61 0.5× 6 1.8k
Xiaonan Xin United States 18 479 0.4× 314 1.0× 108 0.4× 47 0.3× 209 1.8× 39 1.1k

Countries citing papers authored by Jingyang Guan

Since Specialization
Citations

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

Fields of papers citing papers by Jingyang Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyang Guan

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

All Works

11 of 11 papers shown
2.
Cheng, Lin, Yanglu Wang, Jingyang Guan, & Hongkui Deng. (2025). Decoding human chemical reprogramming: mechanisms and principles. Trends in Biochemical Sciences. 50(6). 520–531.
3.
Wang, Yanglu, Zhihan Yang, Lin Cheng, et al.. (2025). A rapid chemical reprogramming system to generate human pluripotent stem cells. Nature Chemical Biology. 21(7). 1030–1038. 12 indexed citations
4.
Ma, Jianxin, et al.. (2024). Bimetallic Coordination Polymers: Synthesis and Applications in Biosensing and Biomedicine. Biosensors. 14(3). 117–117. 8 indexed citations
5.
Zhu, Jialiang, Jun Cao, Zhengyang Zhou, et al.. (2024). Generation of human expandable limb-bud-like progenitors via chemically induced dedifferentiation. Cell stem cell. 31(12). 1732–1740.e6. 4 indexed citations
6.
Wang, Guan, Yanglu Wang, Yulin Lyu, et al.. (2023). Highly efficient and rapid generation of human pluripotent stem cells by chemical reprogramming. Cell stem cell. 30(4). 450–459.e9. 77 indexed citations
7.
Wang, Guan, Yanglu Wang, Yulin Lyu, et al.. (2023). Chemical-induced epigenome resetting for regeneration program activation in human cells. Cell Reports. 42(6). 112547–112547. 9 indexed citations
8.
Xiong, Liang, Yulin Lyu, Xiannian Zhang, et al.. (2021). Establishment of intestinal organoid cultures modeling injury-associated epithelial regeneration. Cell Research. 31(3). 259–271. 94 indexed citations
9.
Zhao, Yang, Ting Zhao, Jingyang Guan, et al.. (2015). A XEN-like State Bridges Somatic Cells to Pluripotency during Chemical Reprogramming. Cell. 163(7). 1678–1691. 188 indexed citations
10.
Hou, Pingping, Yanqin Li, Xu Zhang, et al.. (2013). Pluripotent Stem Cells Induced from Mouse Somatic Cells by Small-Molecule Compounds. Science. 341(6146). 651–654. 1014 indexed citations breakdown →
11.
Wang, Kevin, et al.. (2013). Performance Limits of Microactuation with Vanadium Dioxide as a Solid Engine. ACS Nano. 7(3). 2266–2272. 70 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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