Ningzi Guan

2.0k total citations · 1 hit paper
30 papers, 1.4k citations indexed

About

Ningzi Guan is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Ningzi Guan has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Genetics and 8 papers in Biomedical Engineering. Recurrent topics in Ningzi Guan's work include Microbial Metabolic Engineering and Bioproduction (9 papers), CRISPR and Genetic Engineering (9 papers) and RNA Interference and Gene Delivery (4 papers). Ningzi Guan is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (9 papers), CRISPR and Genetic Engineering (9 papers) and RNA Interference and Gene Delivery (4 papers). Ningzi Guan collaborates with scholars based in China, United States and Germany. Ningzi Guan's co-authors include Long Liu, J L Yates, Hyun‐Dong Shin, Jianghua Li, Guocheng Du, Jian Chen, Haifeng Ye, Xin Wu, Jian Chen and Yang Zhou and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ningzi Guan

26 papers receiving 1.4k citations

Hit Papers

Microbial response to acid stress: mechanisms and applica... 2019 2026 2021 2023 2019 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
Ningzi Guan China 16 842 308 279 185 176 30 1.4k
José Solbiati United States 17 1.1k 1.3× 384 1.2× 77 0.3× 138 0.7× 149 0.8× 24 1.8k
Bareket Dassa Israel 25 977 1.2× 456 1.5× 111 0.4× 54 0.3× 127 0.7× 56 1.7k
Hua Ling Singapore 28 1.5k 1.8× 394 1.3× 148 0.5× 37 0.2× 341 1.9× 70 2.2k
Michio Takeuchi Japan 23 1.1k 1.4× 209 0.7× 135 0.5× 216 1.2× 287 1.6× 91 1.7k
Cheol‐Won Yun South Korea 22 932 1.1× 148 0.5× 58 0.2× 78 0.4× 80 0.5× 57 1.5k
Ryan Raisner United States 10 1.5k 1.7× 164 0.5× 90 0.3× 76 0.4× 110 0.6× 13 2.1k
Wayne A. Wilson United States 18 1.5k 1.8× 193 0.6× 83 0.3× 48 0.3× 79 0.4× 35 1.9k
Robert Flick Canada 25 1.5k 1.7× 295 1.0× 53 0.2× 51 0.3× 199 1.1× 56 2.3k
Rinji Akada Japan 30 2.4k 2.9× 930 3.0× 459 1.6× 85 0.5× 161 0.9× 102 3.1k

Countries citing papers authored by Ningzi Guan

Since Specialization
Citations

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

Fields of papers citing papers by Ningzi Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ningzi Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Ningzi Guan. A scholar is included among the top collaborators of Ningzi 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 Ningzi Guan. Ningzi Guan 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.
Kong, D. J., Tao Yan, Yu Zhou, et al.. (2026). A compact and inducible dCas12f-based CRISPRa platform for programmable in vivo gene activation. Nature Communications. 17(1). 1447–1447.
2.
Wang, Zhihao, Di Dai, Xiaoding Ma, et al.. (2025). Engineered bacteria for near-infrared light-inducible expression of cancer therapeutics. Nature Cancer. 6(4). 612–628. 16 indexed citations
4.
5.
Gao, Xiumei, Mengyao Liu, Wenbo Ma, et al.. (2025). Designer probiotic-based living drugs for uric acid homeostasis control in hyperuricemic mice and rats. Cell Reports Medicine. 6(10). 102379–102379.
6.
Li, Shurui, Yang Zhou, Deqiang Kong, et al.. (2024). A visually-induced optogenetically-engineered system enables autonomous glucose homeostasis in mice. Journal of Controlled Release. 378. 27–37. 1 indexed citations
7.
Yin, Jianli, Deqiang Kong, Ying Guan, et al.. (2024). A digital CRISPR-dCas9-based gene remodeling biocomputer programmed by dietary compounds in mammals. Cell Systems. 15(10). 941–955.e5. 4 indexed citations
8.
Wu, Xin, Meiyan Wang, Di Dai, et al.. (2024). AAV-delivered muscone-induced transgene system for treating chronic diseases in mice via inhalation. Nature Communications. 15(1). 1122–1122. 8 indexed citations
9.
Kong, Deqiang, Yang Zhou, Wei Yu, et al.. (2024). Exploring plant-derived phytochrome chaperone proteins for light-switchable transcriptional regulation in mammals. Nature Communications. 15(1). 4894–4894. 1 indexed citations
10.
Wu, Xin, Di Dai, Yang Zhou, et al.. (2024). Sonogenetics-controlled synthetic designer cells for cancer therapy in tumor mouse models. Cell Reports Medicine. 5(5). 101513–101513. 19 indexed citations
11.
Zhou, Yang, Deqiang Kong, Xinyi Wang, et al.. (2021). A small and highly sensitive red/far-red optogenetic switch for applications in mammals. Nature Biotechnology. 40(2). 262–272. 109 indexed citations
12.
Guan, Ningzi & Long Liu. (2019). Microbial response to acid stress: mechanisms and applications. Applied Microbiology and Biotechnology. 104(1). 51–65. 430 indexed citations breakdown →
13.
Guan, Ningzi, et al.. (2018). TCA cycle-powered synthesis of fucosylated oligosaccharides. Glycobiology. 28(7). 468–473. 7 indexed citations
14.
Guan, Ningzi, Jianghua Li, Hyun‐Dong Shin, et al.. (2017). Microbial response to environmental stresses: from fundamental mechanisms to practical applications. Applied Microbiology and Biotechnology. 101(10). 3991–4008. 177 indexed citations
15.
Wang, Jing, Xun Cui, Zhe Zhang, et al.. (2017). A real-time control system of gene expression using ligand-bound nucleic acid aptamer for metabolic engineering. Metabolic Engineering. 42. 85–97. 9 indexed citations
16.
Liu, Long, Ningzi Guan, Jianghua Li, et al.. (2016). Pathway engineering of Propionibacterium jensenii for improved production of propionic acid. Scientific Reports. 6(1). 19963–19963. 33 indexed citations
17.
Liu, Long, Ningzi Guan, Jianghua Li, et al.. (2015). Development of GRAS strains for nutraceutical production using systems and synthetic biology approaches: advances and prospects. Critical Reviews in Biotechnology. 37(2). 139–150. 26 indexed citations
18.
Guan, Ningzi, Jianghua Li, Hyun‐Dong Shin, et al.. (2015). Metabolic engineering of acid resistance elements to improve acid resistance and propionic acid production of Propionibacterium jensenii. Biotechnology and Bioengineering. 113(6). 1294–1304. 37 indexed citations
19.
Guan, Ningzi, Jianghua Li, Hyun‐Dong Shin, et al.. (2014). Engineering propionibacteria as versatile cell factories for the production of industrially important chemicals: advances, challenges, and prospects. Applied Microbiology and Biotechnology. 99(2). 585–600. 19 indexed citations
20.
Guan, Ningzi, Long Liu, Hyun‐Dong Shin, et al.. (2013). Systems-level understanding of how Propionibacterium acidipropionici respond to propionic acid stress at the microenvironment levels: Mechanism and application. Journal of Biotechnology. 167(1). 56–63. 71 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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