Shaohai Qi

2.8k total citations
87 papers, 2.0k citations indexed

About

Shaohai Qi is a scholar working on Rehabilitation, Molecular Biology and Dermatology. According to data from OpenAlex, Shaohai Qi has authored 87 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Rehabilitation, 26 papers in Molecular Biology and 19 papers in Dermatology. Recurrent topics in Shaohai Qi's work include Wound Healing and Treatments (44 papers), Dermatologic Treatments and Research (16 papers) and Mesenchymal stem cell research (15 papers). Shaohai Qi is often cited by papers focused on Wound Healing and Treatments (44 papers), Dermatologic Treatments and Research (16 papers) and Mesenchymal stem cell research (15 papers). Shaohai Qi collaborates with scholars based in China, United States and Hong Kong. Shaohai Qi's co-authors include Lei Chen, Yingbin Xu, Xusheng Liu, Bin Shu, Jingling Zhao, Ronghua Yang, Julin Xie, Jinming Tang, Julin Xie and Zhaoqiang Zhang and has published in prestigious journals such as PLoS ONE, Water Research and Food Chemistry.

In The Last Decade

Shaohai Qi

85 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaohai Qi China 27 907 519 435 413 387 87 2.0k
Alexander J. Whittam United States 23 796 0.9× 387 0.7× 498 1.1× 351 0.8× 374 1.0× 33 1.7k
Arman Saparov Kazakhstan 24 601 0.7× 690 1.3× 423 1.0× 672 1.6× 512 1.3× 42 2.6k
Horacio Ramirez United States 10 1.1k 1.3× 302 0.6× 173 0.4× 322 0.8× 203 0.5× 11 1.7k
Bin Shu China 24 670 0.7× 501 1.0× 197 0.5× 194 0.5× 171 0.4× 77 1.5k
Julie Fradette Canada 26 319 0.4× 511 1.0× 446 1.0× 463 1.1× 548 1.4× 71 2.0k
Evangelos V. Badiavas United States 28 1.4k 1.5× 1.1k 2.1× 983 2.3× 407 1.0× 612 1.6× 71 3.1k
Cecelia C. Yates United States 21 523 0.6× 476 0.9× 214 0.5× 219 0.5× 233 0.6× 37 1.6k
Kevin J. Paik United States 20 445 0.5× 252 0.5× 579 1.3× 337 0.8× 504 1.3× 31 1.4k
Tatiana N. Demidova‐Rice United States 11 758 0.8× 299 0.6× 149 0.3× 330 0.8× 235 0.6× 11 1.4k

Countries citing papers authored by Shaohai Qi

Since Specialization
Citations

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

Fields of papers citing papers by Shaohai Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohai Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohai Qi. A scholar is included among the top collaborators of Shaohai Qi 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 Shaohai Qi. Shaohai Qi 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.
Qi, Shaohai, Shuyan Wang, Yu Xia, Song‐Can Chen, & Huijie Lü. (2025). Identification of human pathogens in soil by virulence gene-based machine learning method. PubMed. 4(3). 100171–100171. 1 indexed citations
2.
3.
Shu, Bin, Xiaogang Liu, Siping Chen, et al.. (2024). Sensitive colorimetric detection of Vibrio vulnificus based on target-induced shielding against the peroxidase-mimicking activity of CeO2@PtRu nanozyme. Food Chemistry. 454. 139757–139757. 14 indexed citations
4.
Liu, Xiaogang, Zhanpeng Li, Shuying Chen, et al.. (2024). 3D-printed biomimetic scaffold with liposome-encapsulated SB431542 promotes scarless wound healing. Journal of Material Science and Technology. 208. 38–52. 7 indexed citations
5.
Liu, Xiaogang, et al.. (2023). Copper-Epigallocatechin Gallate Enhances Therapeutic Effects of 3D-Printed Dermal Scaffolds in Mitigating Diabetic Wound Scarring. ACS Applied Materials & Interfaces. 15(32). 38230–38246. 34 indexed citations
6.
Wang, Peng, Georgios Theocharidis, Ioannis S. Vlachos, et al.. (2022). Exosomes Derived from Epidermal Stem Cells Improve Diabetic Wound Healing. Journal of Investigative Dermatology. 142(9). 2508–2517.e13. 70 indexed citations
7.
Wang, Hanwen, Ziheng Zhou, Yiling Liu, et al.. (2022). Identification and validation of HOXD3 and UNC5C as molecular signatures in keloid based on weighted gene co-expression network analysis. Genomics. 114(4). 110403–110403. 8 indexed citations
8.
Zhao, Jingling, Bin Shu, Lei Chen, et al.. (2020). Transient High Glucose Causes Persistent Vascular Dysfunction and Delayed Wound Healing by the DNMT1-Mediated Ang-1/NF-κB Pathway. Journal of Investigative Dermatology. 141(6). 1573–1584. 46 indexed citations
9.
Tan, Yao, S.L. Wang, Xin Zheng, et al.. (2019). Efficacy and Prognosis of Radiotherapy for Hepatocellular Carcinoma with Tumor Thrombosis in Main Portal Vein or/and Vena Cava. International Journal of Radiation Oncology*Biology*Physics. 105(1). E215–E216. 2 indexed citations
10.
Zhang, Lijun, Xun Lei, Xiaoyan Wang, et al.. (2019). A Systematic Review and Meta-Analysis of Clinical Effectiveness and Safety of Hydrogel Dressings in the Management of Skin Wounds. Frontiers in Bioengineering and Biotechnology. 7. 342–342. 61 indexed citations
11.
Zhao, Jingling, Jianxing Yu, Yingbin Xu, et al.. (2018). Epidermal HMGB1 Activates Dermal Fibroblasts and Causes Hypertrophic Scar Formation in Reduced Hydration. Journal of Investigative Dermatology. 138(11). 2322–2332. 35 indexed citations
12.
Yang, Ronghua, Jingru Wang, Ziheng Zhou, et al.. (2018). Role of caveolin-1 in epidermal stem cells during burn wound healing in rats. Developmental Biology. 445(2). 271–279. 15 indexed citations
13.
Zhou, Ziheng, Bin Shu, Yingbin Xu, et al.. (2018). microRNA-203 Modulates Wound Healing and Scar Formation via Suppressing Hes1 Expression in Epidermal Stem Cells. Cellular Physiology and Biochemistry. 49(6). 2333–2347. 27 indexed citations
14.
Wang, Peng, Bin Shu, Yingbin Xu, et al.. (2017). Basic fibroblast growth factor reduces scar by inhibiting the differentiation of epidermal stem cells to myofibroblasts via the Notch1/Jagged1 pathway. Stem Cell Research & Therapy. 8(1). 114–114. 44 indexed citations
15.
Chen, Lei, Yingbin Xu, Jingling Zhao, et al.. (2014). Conditioned Medium from Hypoxic Bone Marrow-Derived Mesenchymal Stem Cells Enhances Wound Healing in Mice. PLoS ONE. 9(4). e96161–e96161. 187 indexed citations
16.
Shu, Bin, et al.. (2010). Effect of denervation on skin wound healing in rats. 4(2). 100–104. 1 indexed citations
17.
Qi, Shaohai, et al.. (2008). Basic fibroblast growth factor (bFGF) alleviates the scar of the rabbit ear model in wound healing. Wound Repair and Regeneration. 16(4). 576–581. 69 indexed citations
18.
Xie, Julin, et al.. (2008). Effects of basic fibroblast growth factor on the expression of extracellular matrix and matrix metalloproteinase-1 in wound healing. Clinical and Experimental Dermatology. 33(2). 176–182. 63 indexed citations
19.
Xie, Julin, et al.. (2008). Expression of Smad Protein by Normal Skin Fibroblasts and Hypertrophic Scar Fibroblasts in Response to Transforming Growth Factor 1. Dermatologic Surgery. 34(9). ???–???. 27 indexed citations
20.
Chen, Xiaohong, et al.. (2004). p63 and β1 integrin expression in epidermal stem cells in normal skins at different body parts. Zhonghua shiyan waike zazhi. 21(11). 1376–1378. 1 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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