Yinjie Tang

8.2k total citations · 1 hit paper
158 papers, 6.2k citations indexed

About

Yinjie Tang is a scholar working on Molecular Biology, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Yinjie Tang has authored 158 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 35 papers in Biomedical Engineering and 31 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Yinjie Tang's work include Microbial Metabolic Engineering and Bioproduction (87 papers), Algal biology and biofuel production (27 papers) and Biofuel production and bioconversion (25 papers). Yinjie Tang is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (87 papers), Algal biology and biofuel production (27 papers) and Biofuel production and bioconversion (25 papers). Yinjie Tang collaborates with scholars based in United States, China and Spain. Yinjie Tang's co-authors include Jay D. Keasling, Lian He, Xueyang Feng, Le You, Mattheos Koffas, Stephen S. Fong, Whitney D. Hollinshead, Arul M. Varman, Bing Wu and Himadri B. Pakrasi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Yinjie Tang

153 papers receiving 6.1k citations

Hit Papers

Metabolic Burden: Cornerstones in Synthetic Biology and M... 2016 2026 2019 2022 2016 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
Yinjie Tang United States 48 3.9k 1.6k 1.1k 799 710 158 6.2k
Fuli Li China 38 2.1k 0.5× 1.7k 1.0× 780 0.7× 534 0.7× 268 0.4× 225 5.1k
Dirk Weuster‐Botz Germany 45 5.2k 1.3× 3.0k 1.8× 922 0.8× 700 0.9× 291 0.4× 272 7.8k
Xin‐Hui Xing China 50 3.7k 0.9× 1.6k 1.0× 499 0.4× 469 0.6× 411 0.6× 272 8.1k
Servé W. M. Kengen Netherlands 41 3.1k 0.8× 1.3k 0.8× 291 0.3× 830 1.0× 597 0.8× 105 5.2k
Radhakrishnan Mahadevan Canada 44 5.2k 1.3× 2.4k 1.5× 335 0.3× 207 0.3× 487 0.7× 166 7.0k
Armen Trchоunian Armenia 37 2.2k 0.5× 1.2k 0.7× 1.0k 0.9× 650 0.8× 137 0.2× 215 5.1k
Zhiwen Wang China 37 2.8k 0.7× 1.4k 0.8× 335 0.3× 473 0.6× 230 0.3× 172 4.5k
Brian F. Pfleger United States 41 4.2k 1.1× 2.0k 1.2× 710 0.6× 266 0.3× 467 0.7× 110 5.9k
Zhongming Wang China 51 2.0k 0.5× 3.4k 2.1× 3.7k 3.3× 737 0.9× 236 0.3× 244 8.4k
Aindrila Mukhopadhyay United States 48 6.0k 1.5× 2.8k 1.7× 437 0.4× 333 0.4× 577 0.8× 153 8.0k

Countries citing papers authored by Yinjie Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yinjie Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinjie Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yinjie Tang. A scholar is included among the top collaborators of Yinjie Tang 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 Yinjie Tang. Yinjie Tang 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.
Hansen, Axel Kornerup, et al.. (2025). Leveraging Retrieval-Augmented Generation to Accelerate Discoveries on Mealworm Larvae and Plastic Degradation. Environmental Science & Technology. 59(50). 27437–27448.
2.
Jung, Minhun, et al.. (2025). Molecular Insights into Novel Struvite–Hydrogel Composites for Simultaneous Ammonia and Phosphate Removal. Environmental Science & Technology. 59(22). 11286–11297. 1 indexed citations
3.
Diao, Jinjin, Yuxin Tian, Daniel H. Yeh, et al.. (2025). Developing an alternative medium for in-space biomanufacturing. Nature Communications. 16(1). 728–728. 4 indexed citations
4.
Mao, Zhitao, Xiao‐Ping Liao, Mattheos Koffas, et al.. (2025). Large language model for knowledge synthesis and AI-enhanced biomanufacturing. Trends in biotechnology. 43(8). 1864–1875. 3 indexed citations
6.
Pakrasi, Himadri B., et al.. (2024). Network for knowledge Organization (NEKO): An AI knowledge mining workflow for synthetic biology research. Metabolic Engineering. 87. 60–67. 5 indexed citations
7.
Backman, Tyler W. H., Christina Schenk, Tijana Radivojević, et al.. (2023). BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale. PLoS Computational Biology. 19(11). e1011111–e1011111. 4 indexed citations
8.
Roell, Garrett W., Christina Schenk, Winston Anthony, et al.. (2023). A High-Quality Genome-Scale Model for Rhodococcus opacus Metabolism. ACS Synthetic Biology. 12(6). 1632–1644. 8 indexed citations
9.
Fang, Zhen, Yinjie Tang, & Mattheos Koffas. (2022). Harnessing electrical-to-biochemical conversion for microbial synthesis. Current Opinion in Biotechnology. 75. 102687–102687. 17 indexed citations
10.
Liu, Zhiguo, Tolutola Oyetunde, Whitney D. Hollinshead, et al.. (2017). Exploring eukaryotic formate metabolisms to enhance microbial growth and lipid accumulation. Biotechnology for Biofuels. 10(1). 22–22. 16 indexed citations
11.
Hollinshead, Whitney D., Sarah Rodriguez, Héctor García Martín, et al.. (2016). Examining Escherichia coli glycolytic pathways, catabolite repression, and metabolite channeling using Δpfk mutants. Biotechnology for Biofuels. 9(1). 212–212. 80 indexed citations
12.
He, Lian, Stephen Gang Wu, Muhan Zhang, Yixin Chen, & Yinjie Tang. (2016). WUFlux: an open-source platform for 13C metabolic flux analysis of bacterial metabolism. BMC Bioinformatics. 17(1). 444–444. 30 indexed citations
13.
Feng, Xueyang, You Xu, Yixin Chen, & Yinjie Tang. (2012). MicrobesFlux: a web platform for drafting metabolic models from the KEGG database. BMC Systems Biology. 6(1). 94–94. 44 indexed citations
14.
Feng, Xueyang & Yinjie Tang. (2011). Evaluation of isotope discrimination in 13C-based metabolic flux analysis. Analytical Biochemistry. 417(2). 295–297. 9 indexed citations
15.
Tang, Yinjie, Rajat Sapra, Dominique C. Joyner, et al.. (2009). Analysis of Metabolic Pathways and Fluxes in a Newly Discovered Thermophilic and Ethanol-Tolerant Geobacillus Strain. University of North Texas Digital Library (University of North Texas). 2 indexed citations
16.
Wu, Bing, Rick Huang, Manoranjan Sahu, et al.. (2009). Bacterial responses to Cu-doped TiO2 nanoparticles. The Science of The Total Environment. 408(7). 1755–1758. 115 indexed citations
17.
Tang, Yinjie, et al.. (2007). Flux analysis of central metabolic pathways in Geobacter metallireducens during reduction of soluble Fe(III)-NTA. University of North Texas Digital Library (University of North Texas). 5 indexed citations
18.
Tang, Yinjie & Barbara Krieger‐Brockett. (2007). Mathematical analysis of the whole core injection method accuracy for measuring phenanthrene biodegradation rates in undisturbed marine sediments. Chemosphere. 68(5). 804–813. 4 indexed citations
19.
Tang, Yinjie, Jared Ashcroft, Ding Chen, et al.. (2007). Charge-Associated Effects of Fullerene Derivatives on Microbial Structural Integrity and Central Metabolism. Nano Letters. 7(3). 754–760. 154 indexed citations
20.
Tang, Yinjie, Adam L. Meadows, & Jay D. Keasling. (2006). A kinetic model describing Shewanella oneidensis MR‐1 growth, substrate consumption, and product secretion. Biotechnology and Bioengineering. 96(1). 125–133. 72 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026