Xiaofeng Yang

3.9k total citations · 1 hit paper
72 papers, 2.8k citations indexed

About

Xiaofeng Yang is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaofeng Yang has authored 72 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 26 papers in Biomedical Engineering and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaofeng Yang's work include Microbial Metabolic Engineering and Bioproduction (24 papers), Biofuel production and bioconversion (24 papers) and Enzyme Catalysis and Immobilization (13 papers). Xiaofeng Yang is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (24 papers), Biofuel production and bioconversion (24 papers) and Enzyme Catalysis and Immobilization (13 papers). Xiaofeng Yang collaborates with scholars based in China, Hong Kong and United States. Xiaofeng Yang's co-authors include Carol Sze Ki Lin, Chong Li, Defu He, Wenzong Zhou, Jiani Hu, Lili Lei, Chengjin Cao, Weiwei Lv, Yang Song and Huahong Shi and has published in prestigious journals such as Science, Angewandte Chemie International Edition and Journal of Neuroscience.

In The Last Decade

Xiaofeng Yang

63 papers receiving 2.7k citations

Hit Papers

Microplastic and mesoplastic pollution in farmland soils ... 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofeng Yang China 25 1.2k 1.0k 851 793 471 72 2.8k
Numbi Ramudu Kamini India 27 1.1k 0.9× 441 0.4× 683 0.8× 102 0.1× 659 1.4× 68 2.2k
Yuhong Wei Taiwan 29 945 0.8× 898 0.9× 541 0.6× 78 0.1× 703 1.5× 87 2.7k
M. Auxiliadora Prieto Spain 31 1.5k 1.3× 1.1k 1.1× 643 0.8× 158 0.2× 1.5k 3.1× 98 3.2k
Ruihong Zhang China 28 413 0.3× 477 0.5× 1.1k 1.2× 569 0.7× 275 0.6× 133 3.5k
M B Habibi Najafi Iran 27 568 0.5× 516 0.5× 199 0.2× 290 0.4× 494 1.0× 115 2.7k
Hao Shi China 28 1.1k 0.9× 643 0.6× 1.1k 1.3× 90 0.1× 177 0.4× 189 3.3k
Lai Yee Phang Malaysia 29 1.0k 0.9× 415 0.4× 954 1.1× 80 0.1× 444 0.9× 91 2.3k
Yimin Zhang China 30 1.0k 0.9× 275 0.3× 364 0.4× 277 0.3× 304 0.6× 142 3.1k
Chenyu Du United Kingdom 35 1.5k 1.3× 228 0.2× 1.5k 1.8× 152 0.2× 436 0.9× 90 3.1k
Vijai Singh India 29 1.1k 1.0× 179 0.2× 362 0.4× 144 0.2× 110 0.2× 163 2.6k

Countries citing papers authored by Xiaofeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Yang. A scholar is included among the top collaborators of Xiaofeng Yang 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 Xiaofeng Yang. Xiaofeng Yang 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.
Yang, Xiaofeng, Liying Zhang, Jinghui Xu, et al.. (2025). Physical exercise promotes white matter repair after ischemic stroke. Neural Regeneration Research. 21(6). 2397–2406. 2 indexed citations
2.
Zhang, Jun, Fangying Song, Xiaofeng Yang, & Yu Zhang. (2024). Error analysis of the explicit-invariant energy quadratization (EIEQ) numerical scheme for solving the Allen–Cahn equation. Journal of Computational and Applied Mathematics. 457. 116224–116224. 1 indexed citations
3.
Guo, Han, Xiaoxue Wu, Shuai Ma, et al.. (2024). Characterization of Mild Acid Stress Response in an Engineered Acid-Tolerant Escherichia coli Strain. Microorganisms. 12(8). 1565–1565. 1 indexed citations
4.
Huang, Yuan, Yuanyuan Zhang, Xiaofeng Yang, & Zhanglin Lin. (2024). A high-performance protein preparation approach in a single column-free step. Trends in biotechnology. 43(2). 476–487. 3 indexed citations
5.
Zhang, Xin, et al.. (2024). Engineering quorum sensing-based genetic circuits enhances growth and productivity robustness of industrial E. coli at low pH. Microbial Cell Factories. 23(1). 256–256. 5 indexed citations
6.
Yang, Xiaofeng, et al.. (2023). A novel protein purification scheme based on salt inducible self-assembling peptides. Microbial Cell Factories. 22(1). 224–224. 9 indexed citations
7.
Zhu, Yuanjun, A. Sami Sarıbaş, Jinbiao Liu, et al.. (2023). Protein expression/secretion boost by a novel unique 21-mer cis-regulatory motif (Exin21) via mRNA stabilization. Molecular Therapy. 31(4). 1136–1158. 7 indexed citations
8.
Li, Chong, Ziying Yang, Xu Tang, et al.. (2022). Inhibition kinetics of bio-based succinic acid production by the yeast Yarrowia lipolytica. Chemical Engineering Journal. 442. 136273–136273. 12 indexed citations
10.
Li, Haifang, et al.. (2021). RAHC_GAN: A Data Augmentation Method for Tomato Leaf Disease Recognition. Symmetry. 13(9). 1597–1597. 15 indexed citations
11.
Lin, Zhanglin, et al.. (2021). Facile expression and purification of active human growth hormone in E. coli by a cleavable self-aggregating tag scheme. Protein Expression and Purification. 188. 105974–105974. 10 indexed citations
12.
Yang, Qingyu, et al.. (2020). A modular pathway engineering strategy for the high-level production of β-ionone in Yarrowia lipolytica. Microbial Cell Factories. 19(1). 49–49. 71 indexed citations
13.
Liu, Mengting, Shibo Lu, Yang Song, et al.. (2018). Microplastic and mesoplastic pollution in farmland soils in suburbs of Shanghai, China. Environmental Pollution. 242(Pt A). 855–862. 984 indexed citations breakdown →
14.
Yang, Xiaofeng, Marco Pistolozzi, & Zhanglin Lin. (2018). New trends in aggregating tags for therapeutic protein purification. Biotechnology Letters. 40(5). 745–753. 17 indexed citations
15.
Pleißner, Daniel, Jozef B. J. H. van Duuren, Christoph Wittmann, et al.. (2017). Biotechnological Production of Organic Acids from Renewable Resources. Advances in biochemical engineering, biotechnology. 166. 373–410. 39 indexed citations
16.
Zhu, Muzi, et al.. (2017). Dynamic cell responses in Thermoanaerobacterium sp. under hyperosmotic stress. Scientific Reports. 7(1). 10088–10088. 4 indexed citations
18.
19.
You, Tian, et al.. (2012). Fermentation of pretreated corncob hemicellulose hydrolysate to ethanol by Candida shehatae and Saccharomyces cerevisiae. AFRICAN JOURNAL OF BIOTECHNOLOGY. 11(103). 16772–16776. 3 indexed citations
20.
Li, Shuang, Chaofeng Lai, Xiaofeng Yang, et al.. (2010). High efficiency hydrogen production from glucose/xylose by the ldh-deleted Thermoanaerobacterium strain. Bioresource Technology. 101(22). 8718–8724. 79 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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