Tianyuan Su

1.4k total citations
42 papers, 969 citations indexed

About

Tianyuan Su is a scholar working on Molecular Biology, Pollution and Biomaterials. According to data from OpenAlex, Tianyuan Su has authored 42 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 12 papers in Pollution and 11 papers in Biomaterials. Recurrent topics in Tianyuan Su's work include Microbial Metabolic Engineering and Bioproduction (15 papers), CRISPR and Genetic Engineering (14 papers) and RNA and protein synthesis mechanisms (12 papers). Tianyuan Su is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (15 papers), CRISPR and Genetic Engineering (14 papers) and RNA and protein synthesis mechanisms (12 papers). Tianyuan Su collaborates with scholars based in China, South Korea and Hong Kong. Tianyuan Su's co-authors include Qingsheng Qi, Quanfeng Liang, Yi Zheng, Qingbin Li, Qingsheng Qi, Pengfei Gu, Xuemei Lu, Fan Yang, Qian Wang and Qian Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Chemical Communications.

In The Last Decade

Tianyuan Su

40 papers receiving 959 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianyuan Su China 20 649 245 205 166 154 42 969
Qiang Yan United States 15 865 1.3× 146 0.6× 217 1.1× 125 0.8× 299 1.9× 27 1.3k
Yingying Guo China 14 626 1.0× 268 1.1× 390 1.9× 107 0.6× 206 1.3× 31 1.1k
Katharina Pflüger‐Grau Germany 14 385 0.6× 119 0.5× 111 0.5× 168 1.0× 117 0.8× 27 662
Sangmin Lee South Korea 21 540 0.8× 115 0.5× 55 0.3× 62 0.4× 122 0.8× 66 1.2k
Ignacio Poblete‐Castro Chile 20 793 1.2× 300 1.2× 563 2.7× 139 0.8× 417 2.7× 39 1.3k
Jin Yin China 12 669 1.0× 330 1.3× 685 3.3× 66 0.4× 292 1.9× 16 1.1k
Benedikt Wynands Germany 13 373 0.6× 112 0.5× 103 0.5× 62 0.4× 177 1.1× 30 533
Dan Tan China 13 732 1.1× 288 1.2× 651 3.2× 50 0.3× 267 1.7× 24 1.3k
Daniel Segura Mexico 22 656 1.0× 382 1.6× 626 3.1× 113 0.7× 256 1.7× 49 1.2k
Xiao‐Ran Jiang China 18 909 1.4× 425 1.7× 792 3.9× 114 0.7× 477 3.1× 24 1.5k

Countries citing papers authored by Tianyuan Su

Since Specialization
Citations

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

Fields of papers citing papers by Tianyuan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyuan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Tianyuan Su. A scholar is included among the top collaborators of Tianyuan Su 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 Tianyuan Su. Tianyuan Su 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.
Li, Xiaojiang, Tianyuan Su, Peng Zhao, et al.. (2025). Rational Design of N-Acetylglucosamine-2-epimerase and N-Acetylneuraminic Lyase for Efficient N-Acetylneuraminic Acid Biosynthesis. Journal of Agricultural and Food Chemistry. 73(9). 5320–5327. 2 indexed citations
2.
Zheng, Yi, et al.. (2025). A rapid and efficient strategy for combinatorial repression of multiple genes in Escherichia coli. Microbial Cell Factories. 24(1). 74–74. 2 indexed citations
3.
Zhang, Danfeng, Bo Yin, Wen Zhang, et al.. (2025). Light-driven release of 6PPD and formation of 6PPD-Q from tire and road wear particles: Mechanisms and cytotoxicity. Journal of Hazardous Materials. 499. 140224–140224.
4.
Liu, Yajun, Jie Zhou, Yanwei Li, et al.. (2025). State-of-the-art advances in biotechnology for polyethylene terephthalate bio-depolymerization. SHILAP Revista de lepidopterología. 3(3). 303–319. 3 indexed citations
5.
Su, Tianyuan, et al.. (2025). An in vivo target mutagenesis system for multiple hosts. PubMed. 43(8). 2049–2072.
7.
Zheng, Yi, Longyang Dian, Qian Wang, et al.. (2024). Dynamic Docking-Assisted Engineering of Hydrolases for Efficient PET Depolymerization. ACS Catalysis. 14(5). 3627–3639. 43 indexed citations
8.
Wang, Qi, Qi Wang, Kai Li, et al.. (2024). Design of a Genetically Encoded Biosensor for High-Throughput Screening and Engineering 5-Aminolevulinic Acid Hyper-Producing Escherichia coli. ACS Sustainable Chemistry & Engineering. 12(12). 4846–4857. 4 indexed citations
9.
Su, Tianyuan, Tong Zhang, Pan Liu, et al.. (2023). Biodegradation of polyurethane by the microbial consortia enriched from landfill. Applied Microbiology and Biotechnology. 107(5-6). 1983–1995. 33 indexed citations
10.
Ma, Shuai, Tianyuan Su, Jinming Liu, et al.. (2022). Random genome reduction coupled with polyhydroxybutyrate biosynthesis to facilitate its accumulation in Escherichia coli. Frontiers in Bioengineering and Biotechnology. 10. 978211–978211. 5 indexed citations
11.
Chen, Junhao, Xiaohong Li, Yumei Liu, et al.. (2021). Engineering a probiotic strain of Escherichia coli to induce the regression of colorectal cancer through production of 5‐aminolevulinic acid. Microbial Biotechnology. 14(5). 2130–2139. 26 indexed citations
12.
Zhang, Tong, et al.. (2021). Potential one-step strategy for PET degradation and PHB biosynthesis through co-cultivation of two engineered microorganisms. SHILAP Revista de lepidopterología. 1. 100003–100003. 73 indexed citations
13.
Jiang, Wei, Hao Huang, Tianyuan Su, et al.. (2020). Quorum Sensing-Based Dual-Function Switch and Its Application in Solving Two Key Metabolic Engineering Problems. ACS Synthetic Biology. 9(2). 209–217. 52 indexed citations
14.
Zhang, Jian, Zhiguo Wang, Tianyuan Su, et al.. (2020). Tuning the Binding Affinity of Heme-Responsive Biosensor for Precise and Dynamic Pathway Regulation. iScience. 23(5). 101067–101067. 37 indexed citations
15.
Wang, Junshu, Tianyuan Su, Qi Guo, et al.. (2019). The phage T4 DNA ligase in vivo improves the survival-coupled bacterial mutagenesis. Microbial Cell Factories. 18(1). 107–107. 6 indexed citations
16.
Su, Tianyuan, et al.. (2019). The phage T4 DNA ligase mediates bacterial chromosome DSBs repair as single component non-homologous end joining. Synthetic and Systems Biotechnology. 4(2). 107–112. 19 indexed citations
17.
Su, Tianyuan, Qi Guo, Yi Zheng, et al.. (2019). Fine-Tuning of hemB Using CRISPRi for Increasing 5-Aminolevulinic Acid Production in Escherichia coli. Frontiers in Microbiology. 10. 1731–1731. 36 indexed citations
18.
Su, Tianyuan, et al.. (2016). Easy regulation of metabolic flux in Escherichia coli using an endogenous type I-E CRISPR-Cas system. Microbial Cell Factories. 15(1). 195–195. 37 indexed citations
19.
Su, Tianyuan, Pengfei Gu, Hai‐Ying Jin, et al.. (2016). A CRISPR-Cas9 Assisted Non-Homologous End-Joining Strategy for One-step Engineering of Bacterial Genome. Scientific Reports. 6(1). 37895–37895. 88 indexed citations
20.
Wang, Qing, Lijuan Yang, Xiaohai Yang, et al.. (2012). An electrochemical DNA biosensor based on the “Y” junction structure and restriction endonuclease-aided target recycling strategy. Chemical Communications. 48(24). 2982–2982. 40 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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