Shuhui Guo

485 total citations
11 papers, 302 citations indexed

About

Shuhui Guo is a scholar working on Molecular Biology, Pharmacology and Biomedical Engineering. According to data from OpenAlex, Shuhui Guo has authored 11 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pharmacology and 3 papers in Biomedical Engineering. Recurrent topics in Shuhui Guo's work include Fungal and yeast genetics research (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Shuhui Guo is often cited by papers focused on Fungal and yeast genetics research (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Shuhui Guo collaborates with scholars based in Macao, China and Saudi Arabia. Shuhui Guo's co-authors include Xiuping Chen, Wenwen Zhao, Wen Sun, Xiuping Chen, Yitao Wang, Chuanhong Wu, Sheng Wang, Hongwei Gao, Jin‐Jian Lu and Hongxun Tao and has published in prestigious journals such as Scientific Reports, Critical Reviews in Food Science and Nutrition and Metabolic Engineering.

In The Last Decade

Shuhui Guo

10 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuhui Guo Macao 7 149 55 48 46 36 11 302
Xiaoqin Han China 11 160 1.1× 59 1.1× 42 0.9× 40 0.9× 19 0.5× 18 449
Mehri Bemani Naeini Iran 8 94 0.6× 40 0.7× 32 0.7× 63 1.4× 12 0.3× 11 312
Vamshikrishna Malyla Australia 10 165 1.1× 26 0.5× 23 0.5× 34 0.7× 60 1.7× 11 373
Asha G. Ramchandani India 10 142 1.0× 40 0.7× 23 0.5× 36 0.8× 20 0.6× 16 357
Mehrzad Mehrbani Iran 8 93 0.6× 44 0.8× 26 0.5× 19 0.4× 21 0.6× 18 347
Shuwu Zhao China 10 281 1.9× 43 0.8× 16 0.3× 59 1.3× 77 2.1× 23 484
Kyu‐Shik Lee South Korea 14 222 1.5× 42 0.8× 14 0.3× 51 1.1× 38 1.1× 44 536
Abubaker M. Hamad Saudi Arabia 15 118 0.8× 71 1.3× 19 0.4× 23 0.5× 30 0.8× 30 436
Hsiao‐Wen Chiu Taiwan 11 215 1.4× 73 1.3× 21 0.4× 89 1.9× 61 1.7× 20 407
Marzieh Asadi Iran 8 188 1.3× 57 1.0× 10 0.2× 38 0.8× 24 0.7× 21 464

Countries citing papers authored by Shuhui Guo

Since Specialization
Citations

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

Fields of papers citing papers by Shuhui Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhui Guo

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

All Works

11 of 11 papers shown
1.
Guo, Shuhui, Lakhansing Pardeshi, Chris Cheung, et al.. (2025). Systematic over-expression of secondary metabolism transcription factors to reveal the pharmaceutical potential of Aspergillus nidulans. Communications Biology. 8(1). 1444–1444. 1 indexed citations
3.
Guo, Shuhui, et al.. (2024). Versatile xylose and arabinose genetic switches development for yeasts. Metabolic Engineering. 87. 21–36. 6 indexed citations
4.
Guo, Shuhui, et al.. (2023). An effective strategy for identifying autogenous regulation of transcription factors in filamentous fungi. Microbiology Spectrum. 11(6). e0234723–e0234723. 2 indexed citations
5.
Wang, Fang, Pooja Sethiya, Xiaohui Hu, et al.. (2021). Transcription in fungal conidia before dormancy produces phenotypically variable conidia that maximize survival in different environments. Nature Microbiology. 6(8). 1066–1081. 50 indexed citations
6.
Li, Ang, Kaeling Tan, Shuhui Guo, et al.. (2019). Universal plasmids to facilitate gene deletion and gene tagging in filamentous fungi. Fungal Genetics and Biology. 125. 28–35. 8 indexed citations
7.
Zhao, Wenwen, et al.. (2017). Danshenol A inhibits TNF-α-induced expression of intercellular adhesion molecule-1 (ICAM-1) mediated by NOX4 in endothelial cells. Scientific Reports. 7(1). 12953–12953. 39 indexed citations
8.
Sun, Wen, Sheng Wang, Wenwen Zhao, et al.. (2016). Chemical constituents and biological research on plants in the genus Curcuma. Critical Reviews in Food Science and Nutrition. 57(7). 1451–1523. 86 indexed citations
9.
Guo, Shuhui & Xiuping Chen. (2015). The human Nox4: gene, structure, physiological function and pathological significance. Journal of drug targeting. 23(10). 888–896. 93 indexed citations
10.
Liu, Yuandong, Shuhui Guo, Runlan Yu, Kai Zou, & Guanzhou Qiu. (2013). A New Cytoplasmic Monoheme Cytochrome c from Acidithiobacillus ferrooxidans Involved in Sulfur Oxidation. Current Microbiology. 68(3). 285–292. 6 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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