Zibo Chen

3.3k total citations · 5 hit papers
65 papers, 2.3k citations indexed

About

Zibo Chen is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Cell Biology. According to data from OpenAlex, Zibo Chen has authored 65 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 16 papers in Electrical and Electronic Engineering and 12 papers in Cell Biology. Recurrent topics in Zibo Chen's work include Ubiquitin and proteasome pathways (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Microtubule and mitosis dynamics (6 papers). Zibo Chen is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Microtubule and mitosis dynamics (6 papers). Zibo Chen collaborates with scholars based in China, United States and Singapore. Zibo Chen's co-authors include David Baker, Scott E. Boyken, Michael B. Elowitz, Frank DiMaio, Erik Winfree, Lulu Qian, Shayan Doroudi, Damien Woods, Gregory Izatt and Robert F. Johnson and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Zibo Chen

55 papers receiving 2.2k citations

Hit Papers

A cargo-sorting DNA robot 2016 2026 2019 2022 2017 2016 2019 2020 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zibo Chen China 20 1.6k 348 210 206 202 65 2.3k
Farid J. Ghadessy Singapore 23 1.8k 1.1× 311 0.9× 169 0.8× 302 1.5× 74 0.4× 70 2.4k
Satoru Nagatoishi Japan 26 1.7k 1.0× 223 0.6× 166 0.8× 163 0.8× 88 0.4× 123 2.2k
Steven J. Metallo United States 20 1.4k 0.8× 391 1.1× 261 1.2× 191 0.9× 147 0.7× 23 2.0k
Mingjun Cai China 29 1.4k 0.8× 433 1.2× 437 2.1× 209 1.0× 134 0.7× 109 2.6k
Laura E. Strong United States 18 1.7k 1.0× 320 0.9× 219 1.0× 133 0.6× 104 0.5× 37 2.6k
Kerstin G. Blank Germany 30 1.2k 0.7× 595 1.7× 231 1.1× 135 0.7× 403 2.0× 74 2.4k
Tae Hyeon Yoo South Korea 24 1.2k 0.7× 304 0.9× 133 0.6× 120 0.6× 54 0.3× 65 1.8k
Dae‐Ro Ahn South Korea 27 1.6k 1.0× 700 2.0× 306 1.5× 92 0.4× 126 0.6× 75 2.4k
Anton Iliuk United States 23 2.2k 1.3× 560 1.6× 165 0.8× 153 0.7× 130 0.6× 72 2.6k
Kathlynn C. Brown United States 29 1.4k 0.8× 530 1.5× 231 1.1× 371 1.8× 125 0.6× 58 2.6k

Countries citing papers authored by Zibo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zibo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zibo Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zibo Chen. A scholar is included among the top collaborators of Zibo 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 Zibo Chen. Zibo 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.
Tyutyunyk‐Massey, Liliya, Zibo Chen, Masanori Kawakami, et al.. (2025). CDK2 inhibition produces a persistent population of polyploid cancer cells. JCI Insight. 10(10). 1 indexed citations
2.
Liu, Yan, Huihui Jin, Zibo Chen, et al.. (2025). Reduced graphene oxide-induced in-situ uniform growth of hydrated WO 3 film for enhanced electrochromic performance. Nano Research. 18(4). 94907269–94907269.
3.
Wen, Hai, Zibo Chen, Shaowen Cao, et al.. (2025). GO-Enhanced MXene Sediment-Based Inks Achieve Remarkable Oxidation Resistance and High Conductivity. ACS Applied Materials & Interfaces. 17(8). 12731–12738. 2 indexed citations
4.
Chen, Zibo, et al.. (2024). A synthetic protein-level neural network in mammalian cells. Science. 386(6727). 1243–1250. 9 indexed citations
5.
Zhang, Bohan, Qian Zhang, Xueguang Lu, et al.. (2024). Flexible terahertz spoof plasmonics based on graphene-assembled films. Applied Physics Letters. 124(23). 1 indexed citations
6.
Hu, Tao, Qiang Wu, Cheng Wang, et al.. (2024). Enhancing the electrochemical performance of Na metal anodes via local eutectic melting in porous Al-Cu alloy hosts. Nano Research. 17(7). 6111–6118. 4 indexed citations
7.
Ji, Xiaodong, Xin Zhao, Zixin Zhang, et al.. (2023). Scalable fabrication of graphene-assembled multifunctional electrode with efficient electrochemical detection of dopamine and glucose. Nano Research. 16(5). 6361–6368. 13 indexed citations
8.
Chen, Zibo. (2023). Protein circuit design using de novo proteins. Trends in biotechnology. 41(5). 593–594. 1 indexed citations
9.
Liu, Jingkuang, et al.. (2022). Optimization of Site Selection for Emergency Medical Facilities considering the SEIR Model. Computational Intelligence and Neuroscience. 2022. 1–17. 7 indexed citations
10.
Nguyen, Taylor H., Galen Dods, Mariana Gómez-Schiavon, et al.. (2022). Competitive Displacement of De Novo Designed HeteroDimers Can Reversibly Control Protein–Protein Interactions and Implement Feedback in Synthetic Circuits. 1(1). 91–100. 2 indexed citations
11.
Chen, Zibo, Tao Yuan, Fangjie Yan, et al.. (2022). CT-707 overcomes hypoxia-mediated sorafenib resistance in Hepatocellular carcinoma by inhibiting YAP signaling. BMC Cancer. 22(1). 425–425. 11 indexed citations
12.
Kawakami, Masanori, Lisa Maria Mustachio, Yulong Chen, et al.. (2020). A Novel CDK2/9 Inhibitor CYC065 Causes Anaphase Catastrophe and Represses Proliferation, Tumorigenesis, and Metastasis in Aneuploid Cancers. Molecular Cancer Therapeutics. 20(3). 477–489. 13 indexed citations
13.
Liu, Xi, Yun Lu, Zibo Chen, et al.. (2020). The Ubiquitin-Specific Peptidase USP18 Promotes Lipolysis, Fatty Acid Oxidation, and Lung Cancer Growth. Molecular Cancer Research. 19(4). 667–677. 35 indexed citations
14.
Chen, Zibo, Ryan D. Kibler, Andrew C. Hunt, et al.. (2020). De novo design of protein logic gates. Science. 368(6486). 78–84. 158 indexed citations breakdown →
15.
Zheng, Lin, Zibo Chen, Masanori Kawakami, et al.. (2019). Tyrosine Threonine Kinase Inhibition Eliminates Lung Cancers by Augmenting Apoptosis and Polyploidy. Molecular Cancer Therapeutics. 18(10). 1775–1786. 27 indexed citations
16.
Langan, Robert A., Scott E. Boyken, Andrew H. Ng, et al.. (2019). De novo design of bioactive protein switches. Nature. 572(7768). 205–210. 185 indexed citations breakdown →
17.
Zhu, Hong, Dandan Wang, Tao Yuan, et al.. (2018). Multikinase Inhibitor CT-707 Targets Liver Cancer by Interrupting the Hypoxia-Activated IGF-1R–YAP Axis. Cancer Research. 78(14). 3995–4006. 34 indexed citations
18.
Lu, Peilong, Duyoung Min, Frank DiMaio, et al.. (2018). Accurate computational design of multipass transmembrane proteins. Science. 359(6379). 1042–1046. 137 indexed citations
19.
Li, Wei, Robert F. Johnson, Zibo Chen, et al.. (2017). A cargo-sorting DNA robot. Science. 357(6356). 432 indexed citations breakdown →
20.
Wang, Dandan, Ying Chen, Zibo Chen, et al.. (2016). CT-707, a Novel FAK Inhibitor, Synergizes with Cabozantinib to Suppress Hepatocellular Carcinoma by Blocking Cabozantinib-Induced FAK Activation. Molecular Cancer Therapeutics. 15(12). 2916–2925. 38 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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