Jiufu Qin

1.4k total citations
31 papers, 1.0k citations indexed

About

Jiufu Qin is a scholar working on Molecular Biology, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Jiufu Qin has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Biotechnology and 6 papers in Biomedical Engineering. Recurrent topics in Jiufu Qin's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Enzyme Production and Characterization (10 papers) and Enzyme Catalysis and Immobilization (9 papers). Jiufu Qin is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Enzyme Production and Characterization (10 papers) and Enzyme Catalysis and Immobilization (9 papers). Jiufu Qin collaborates with scholars based in China, Denmark and Sweden. Jiufu Qin's co-authors include Jens Nielsen, Verena Siewers, Yongjin J. Zhou, Nicolaas A. Buijs, Zhiwei Zhu, Jin‐Song Shi, Zhenghong Xu, Mingtao Huang, Jin‐Song Gong and Chang Su and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Science of The Total Environment.

In The Last Decade

Jiufu Qin

30 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiufu Qin China 15 742 280 267 143 77 31 1.0k
Chung‐Jen Chiang Taiwan 22 896 1.2× 478 1.7× 237 0.9× 90 0.6× 132 1.7× 71 1.3k
Tunçer H. Özdamar Türkiye 19 739 1.0× 262 0.9× 230 0.9× 98 0.7× 53 0.7× 56 1.0k
Shuli Liang China 18 694 0.9× 211 0.8× 189 0.7× 165 1.2× 62 0.8× 63 957
Anna A. Kulminskaya Russia 23 805 1.1× 429 1.5× 808 3.0× 291 2.0× 83 1.1× 77 1.7k
Manuel Becerra Spain 21 934 1.3× 362 1.3× 377 1.4× 93 0.7× 219 2.8× 69 1.3k
Xiulai Chen China 24 1.3k 1.8× 577 2.1× 131 0.5× 80 0.6× 100 1.3× 49 1.5k
Xinyao Lu China 17 712 1.0× 311 1.1× 157 0.6× 77 0.5× 148 1.9× 72 898
Hong Lü China 22 862 1.2× 446 1.6× 315 1.2× 128 0.9× 63 0.8× 76 1.3k
Yvonne Nygård Sweden 18 908 1.2× 464 1.7× 163 0.6× 136 1.0× 53 0.7× 46 1.2k

Countries citing papers authored by Jiufu Qin

Since Specialization
Citations

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

Fields of papers citing papers by Jiufu Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiufu Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Jiufu Qin. A scholar is included among the top collaborators of Jiufu Qin 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 Jiufu Qin. Jiufu Qin 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.
Hou, Yue, et al.. (2025). Harnessing synthetic biology for tetraterpenoid astaxanthin production: Recent advances and challenges. Synthetic and Systems Biotechnology. 11. 309–316.
2.
Xiong, Liang, Yating Wang, Minghai Zhou, et al.. (2024). Overexpression of arginase gene CAR1 renders yeast Saccharomyces cerevisiae acetic acid tolerance. Synthetic and Systems Biotechnology. 9(4). 723–732. 2 indexed citations
3.
Jia, Zhi‐Jun, et al.. (2024). Engineering the next-generation synthetic cell factory driven by protein engineering. Biotechnology Advances. 73. 108366–108366. 8 indexed citations
4.
Hou, Yue, et al.. (2024). Enzyme engineering for functional lipids synthesis: recent advance and perspective. Bioresources and Bioprocessing. 11(1). 1–1. 9 indexed citations
6.
Liu, Chao, Jin‐Song Gong, Chang Su, et al.. (2023). Increasing gene dosage and chaperones co-expression facilitate the efficient dextranase expression in Pichia pastoris. LWT. 181. 114753–114753. 11 indexed citations
7.
Zhang, Jing, Chang Su, Xiaoli Kong, et al.. (2022). Directed evolution driving the generation of an efficient keratinase variant to facilitate the feather degradation. Bioresources and Bioprocessing. 9(1). 38–38. 22 indexed citations
8.
Yao, Shangjie, Rongqing Zhou, Yao Jin, et al.. (2022). Formation of biofilm changed the responses of Tetragenococcus halophilus to ethanol stress revealed by transcriptomic and proteomic analyses. Food Research International. 161. 111817–111817. 18 indexed citations
9.
Qin, Jiufu, et al.. (2021). Versatile strategies for bioproduction of hyaluronic acid driven by synthetic biology. Carbohydrate Polymers. 264. 118015–118015. 58 indexed citations
10.
Gong, Jin‐Song, Jiufu Qin, Hui Li, et al.. (2021). Improving the Intensity of Integrated Expression for Microbial Production. ACS Synthetic Biology. 10(11). 2796–2807. 12 indexed citations
11.
Su, Chang, Jin‐Song Gong, Anqi Qin, et al.. (2021). A combination of bioinformatics analysis and rational design strategies to enhance keratinase thermostability for efficient biodegradation of feathers. The Science of The Total Environment. 818. 151824–151824. 34 indexed citations
12.
Zhang, Rongxian, Jin‐Song Gong, Chang Su, et al.. (2020). Recombinant expression and molecular engineering of the keratinase from Brevibacillus parabrevis for dehairing performance. Journal of Biotechnology. 320. 57–65. 18 indexed citations
13.
Wang, Shunzhi, et al.. (2020). Improving the biocatalytic performance of co-immobilized cells harboring nitrilase via addition of silica and calcium carbonate. Bioprocess and Biosystems Engineering. 43(12). 2201–2207. 5 indexed citations
14.
Gong, Jin‐Song, Chang Su, Jiufu Qin, et al.. (2020). Efficient keratinase expression via promoter engineering strategies for degradation of feather wastes. Enzyme and Microbial Technology. 137. 109550–109550. 42 indexed citations
15.
Su, Chang, Jin‐Song Gong, Jiufu Qin, et al.. (2020). The tale of a versatile enzyme: Molecular insights into keratinase for its industrial dissemination. Biotechnology Advances. 45. 107655–107655. 44 indexed citations
16.
Rajkumar, Arun S., Emre Özdemir, Konstantin Schneider, et al.. (2019). Engineered Reversal of Function in Glycolytic Yeast Promoters. ACS Synthetic Biology. 8(6). 1462–1468. 8 indexed citations
17.
Qin, Jiufu, Heng Li, Hui Li, et al.. (2019). Phospholipase D engineering for improving the biocatalytic synthesis of phosphatidylserine. Bioprocess and Biosystems Engineering. 42(7). 1185–1194. 24 indexed citations
18.
Huang, Mingtao, Guokun Wang, Jiufu Qin, Dina Petranović, & Jens Nielsen. (2018). Engineering the protein secretory pathway of Saccharomyces cerevisiae enables improved protein production. Proceedings of the National Academy of Sciences. 115(47). 447–451. 96 indexed citations
19.
Zhou, Yongjin J., Nicolaas A. Buijs, Zhiwei Zhu, et al.. (2016). Production of fatty acid-derived oleochemicals and biofuels by synthetic yeast cell factories. Nature Communications. 7(1). 11709–11709. 309 indexed citations
20.
Qin, Jiufu, Yongjin J. Zhou, Anastasia Krivoruchko, et al.. (2015). Modular pathway rewiring of Saccharomyces cerevisiae enables high-level production of L-ornithine. Nature Communications. 6(1). 8224–8224. 99 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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