Tong Si

3.2k total citations
58 papers, 2.4k citations indexed

About

Tong Si is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Tong Si has authored 58 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 12 papers in Biomedical Engineering and 8 papers in Pharmacology. Recurrent topics in Tong Si's work include CRISPR and Genetic Engineering (18 papers), Microbial Metabolic Engineering and Bioproduction (16 papers) and RNA and protein synthesis mechanisms (11 papers). Tong Si is often cited by papers focused on CRISPR and Genetic Engineering (18 papers), Microbial Metabolic Engineering and Bioproduction (16 papers) and RNA and protein synthesis mechanisms (11 papers). Tong Si collaborates with scholars based in China, United States and Australia. Tong Si's co-authors include Huimin Zhao, Jiazhang Lian, Ran Chao, Han Xiao, Zehua Bao, Nikhil U. Nair, Jing Liang, Jing Du, Yongbo Yuan and Shekhar Mishra and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Tong Si

56 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tong Si China	27	2.0k	684	185	180	148	58	2.4k
Stephan Noack Germany	30	2.4k 1.2×	1.2k 1.7×	75 0.4×	140 0.8×	282 1.9×	115	3.0k
Pamela Peralta‐Yahya United States	20	2.3k 1.1×	1.1k 1.7×	360 1.9×	225 1.3×	121 0.8×	36	2.9k
Marco Oldiges Germany	33	3.0k 1.5×	1.0k 1.5×	177 1.0×	148 0.8×	252 1.7×	128	3.6k
Eduard J. Kerkhoven Sweden	28	2.6k 1.3×	1.1k 1.6×	115 0.6×	95 0.5×	70 0.5×	68	3.0k
Zhanglin Lin China	27	1.9k 1.0×	395 0.6×	92 0.5×	260 1.4×	253 1.7×	77	2.5k
Nathan J. Hillson United States	30	2.5k 1.2×	807 1.2×	464 2.5×	263 1.5×	434 2.9×	78	3.3k
Wouter A. van Winden Netherlands	26	2.1k 1.1×	573 0.8×	119 0.6×	63 0.3×	108 0.7×	37	2.4k
J. F. Shaw Taiwan	23	1.6k 0.8×	549 0.8×	76 0.4×	293 1.6×	115 0.8×	57	2.1k
Leanne Jade G. Chan United States	20	1.1k 0.5×	283 0.4×	197 1.1×	146 0.8×	85 0.6×	28	1.4k

Countries citing papers authored by Tong Si

Since Specialization

Citations

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

Fields of papers citing papers by Tong Si

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Si

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

All Works

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20 of 20 papers shown

Zhao, Zhongyuan, et al.. (2025). Machine learning approaches for assessing medication transfer to human breast milk. Journal of Pharmacokinetics and Pharmacodynamics. 52(3). 25–25.

Wang, Lanxiang, Yue Liu, Wenlong Zuo, et al.. (2024). Systematic characterization of plant-associated bacteria that can degrade indole-3-acetic acid. PLoS Biology. 22(11). e3002921–e3002921. 6 indexed citations

Gao, Yuan, Yongcan Chen, Yanjing Wang, et al.. (2024). Critical Assessment of Protein Engineering (CAPE): A Student Challenge on the Cloud. ACS Synthetic Biology. 13(11). 3782–3787.

Chen, Yongcan, et al.. (2023). Deep Mutational Scanning of an Oxygen-Independent Fluorescent Protein CreiLOV for Comprehensive Profiling of Mutational and Epistatic Effects. ACS Synthetic Biology. 12(5). 1461–1473. 11 indexed citations

Zhang, Xian‐En, Chenli Liu, Junbiao Dai, et al.. (2023). Enabling technology and core theory of synthetic biology. Science China Life Sciences. 66(8). 1742–1785. 31 indexed citations

Zhang, Songya, Lin Zhang, Anja Greule, et al.. (2023). P450-mediated dehydrotyrosine formation during WS9326 biosynthesis proceeds via dehydrogenation of a specific acylated dipeptide substrate. Acta Pharmaceutica Sinica B. 13(8). 3561–3574. 6 indexed citations

Shi, Shulan, Cuiping Zeng, Tong Si, Bo Wang, & Po Keung Wong. (2022). Photobiocatalytic Solar Fuel and Solar Chemical Conversion: Sufficient Activity and Better Selectivity. ACS ES&T Engineering. 2(6). 989–1000. 20 indexed citations

Chen, Yongcan, et al.. (2022). Protein engineering via Bayesian optimization-guided evolutionary algorithm and robotic experiments. Briefings in Bioinformatics. 24(1). 29 indexed citations

Zhang, Jianzhi, et al.. (2022). Towards one sample per second for mass spectrometric screening of engineered microbial strains. Current Opinion in Biotechnology. 76. 102725–102725. 6 indexed citations

10.

Xiao, Kemeng, Jun Liang, Tian Hou, et al.. (2021). Panoramic insights into semi-artificial photosynthesis: origin, development, and future perspective. Energy & Environmental Science. 15(2). 529–549. 59 indexed citations

11.

Chen, Yongcan, et al.. (2021). Genome-Scale Screening and Combinatorial Optimization of Gene Overexpression Targets to Improve Cadmium Tolerance in Saccharomyces cerevisiae. Frontiers in Microbiology. 12. 662512–662512. 3 indexed citations

12.

Chen, Yongcan, et al.. (2020). Advances in RNAi-Assisted Strain Engineering in Saccharomyces cerevisiae. Frontiers in Bioengineering and Biotechnology. 8. 731–731. 15 indexed citations

13.

Chao, Ran, Shekhar Mishra, Tong Si, & Huimin Zhao. (2017). Engineering biological systems using automated biofoundries. Metabolic Engineering. 42. 98–108. 140 indexed citations

14.

Si, Tong, Ran Chao, Yuhao Min, et al.. (2017). Automated multiplex genome-scale engineering in yeast. Nature Communications. 8(1). 15187–15187. 167 indexed citations

15.

Si, Tong. (2016). Automated genome engineering of yeast cells using a Biological Foundry. 1 indexed citations

16.

Si, Tong & Huimin Zhao. (2016). RNAi-Assisted Genome Evolution (RAGE) in Saccharomyces cerevisiae. Methods in molecular biology. 1470. 183–198. 2 indexed citations

17.

Shi, Shuobo, Tong Si, Zihe Liu, et al.. (2016). Metabolic engineering of a synergistic pathway for n-butanol production in Saccharomyces cerevisiae. Scientific Reports. 6(1). 25675–25675. 58 indexed citations

18.

Lian, Jiazhang, Tong Si, Nikhil U. Nair, & Huimin Zhao. (2014). Design and construction of acetyl-CoA overproducing Saccharomyces cerevisiae strains. Metabolic Engineering. 24. 139–149. 205 indexed citations

19.

Wang, Meng, Tong Si, & Huimin Zhao. (2012). Biocatalyst development by directed evolution. Bioresource Technology. 115. 117–125. 103 indexed citations

20.

Yu, Chunhui, Tong Si, Wei‐Hui Wu, et al.. (2008). O-GlcNAcylation modulates the self-aggregation ability of the fourth microtubule-binding repeat of tau. Biochemical and Biophysical Research Communications. 375(1). 59–62. 39 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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