Shaohua Li

1.5k total citations
48 papers, 1.0k citations indexed

About

Shaohua Li is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Shaohua Li has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in Shaohua Li's work include Peptidase Inhibition and Analysis (4 papers), Influenza Virus Research Studies (3 papers) and Protease and Inhibitor Mechanisms (3 papers). Shaohua Li is often cited by papers focused on Peptidase Inhibition and Analysis (4 papers), Influenza Virus Research Studies (3 papers) and Protease and Inhibitor Mechanisms (3 papers). Shaohua Li collaborates with scholars based in China, United States and Singapore. Shaohua Li's co-authors include Peter D. Yurchenco, Reinhard Fässler, Salvatore Carbonetto, Neil Smyth, David H. T. Harrison, David Edgar, Irwin M. Arias, Daniel Ortiz, Germán Calderón and James B. Moseley and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Shaohua Li

43 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
Shaohua Li China 16 453 234 161 143 124 48 1.0k
Jing Deng China 16 672 1.5× 216 0.9× 164 1.0× 82 0.6× 94 0.8× 35 1.1k
Xiong Li China 19 562 1.2× 175 0.7× 103 0.6× 138 1.0× 64 0.5× 70 1.2k
Hsiu‐Chuan Chou Taiwan 25 774 1.7× 128 0.5× 281 1.7× 243 1.7× 82 0.7× 85 1.6k
Shilpy Sharma India 24 696 1.5× 113 0.5× 106 0.7× 124 0.9× 81 0.7× 71 1.5k
William W. Carley United States 23 794 1.8× 242 1.0× 324 2.0× 187 1.3× 104 0.8× 38 1.8k
Bernd Gesslbauer Austria 18 542 1.2× 54 0.2× 249 1.5× 108 0.8× 59 0.5× 43 892
Isabelle Roland Belgium 21 667 1.5× 60 0.3× 116 0.7× 190 1.3× 39 0.3× 29 1.4k
Alina Grzanka Poland 20 881 1.9× 40 0.2× 257 1.6× 257 1.8× 99 0.8× 142 1.6k
Ewa Pocheć Poland 25 861 1.9× 204 0.9× 206 1.3× 76 0.5× 206 1.7× 51 1.5k
Aaron Z. Fernandis United States 15 571 1.3× 83 0.4× 91 0.6× 348 2.4× 53 0.4× 28 1.1k

Countries citing papers authored by Shaohua Li

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Li. A scholar is included among the top collaborators of Shaohua Li 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 Shaohua Li. Shaohua Li 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.
Zhao, Jingmin, Han Zhang, Fang Cheng, et al.. (2024). Increased antibody titers but induced T cell AICD and apoptosis response in COVID-19 convalescents by inactivated vaccine booster. Microbiology Spectrum. 12(3). e0243523–e0243523.
2.
Zhou, Xian, Xueting Chen, Dennis Chang, et al.. (2024). Phytochemical determination and mechanistic investigation of Polygala tenuifolia root (Yuanzhi) extract for bronchitis: UPLC-MS/MS analysis, network pharmacology and in vitro/in vivo evaluation. Journal of Ethnopharmacology. 333. 118418–118418. 6 indexed citations
3.
Li, Shaohua, Chen Wang, Lexin Yuan, et al.. (2023). Predictors of everyday functional impairment in older patients with schizophrenia: A cross-sectional study. Frontiers in Psychiatry. 13. 1081620–1081620. 3 indexed citations
4.
Li, Shaohua, et al.. (2023). Noninvasive prognostic factors and web predictive tools for idiopathic sudden sensorineural hearing loss. American Journal of Otolaryngology. 44(6). 103965–103965.
5.
Feng, Yangqin, Jordan Sim, Xinxing Xu, et al.. (2023). Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs. Diagnostics. 13(8). 1397–1397. 3 indexed citations
6.
Li, Shaohua, et al.. (2023). Automated detection of glottic laryngeal carcinoma in laryngoscopic images from a multicentre database using a convolutional neural network. Clinical Otolaryngology. 48(3). 436–441. 12 indexed citations
7.
8.
Feng, Yangqin, Zizhou Wang, Xinxing Xu, et al.. (2022). Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. Medical Image Analysis. 83. 102664–102664. 19 indexed citations
9.
Liang, Jie, Shaohua Li, Wei Li, et al.. (2021). CMTM6, a potential immunotherapy target. Journal of Cancer Research and Clinical Oncology. 148(1). 47–56. 9 indexed citations
10.
Tan, Tien‐En, Daniel SW Ting, Yong Liu, et al.. (2019). Artificial intelligence using a deep learning system with transfer learning to predict refractive error and myopic macular degeneration from color fundus photographs. Investigative Ophthalmology & Visual Science. 60(9). 1478–1478. 10 indexed citations
11.
Lv, Xiu‐He, Zhen Chen, Shaohua Li, & Huahong Xie. (2019). <p>Knockdown of cyclooxygenase-2 leads to growth inhibition and cell cycle arrest in hepatocellular carcinoma cells</p>. OncoTargets and Therapy. Volume 12. 4341–4349. 12 indexed citations
12.
13.
Wu, Zhong, et al.. (2018). Serine/Threonine Kinase 35, a Target Gene of STAT3, Regulates the Proliferation and Apoptosis of Osteosarcoma Cells. Cellular Physiology and Biochemistry. 45(2). 808–818. 21 indexed citations
14.
Xu, Keke, Lin Yu, Ruitong Zhang, et al.. (2015). Evaluation of safety of iridoids rich fraction from Valeriana jatamansi Jones: Acute and sub-chronic toxicity study in mice and rats. Journal of Ethnopharmacology. 172. 386–394. 16 indexed citations
15.
Tang, Guozhi, Xianfeng Lin, Zongxing Qiu, et al.. (2011). Design and Synthesis of Benzenesulfonamide Derivatives as Potent Anti-Influenza Hemagglutinin Inhibitors. ACS Medicinal Chemistry Letters. 2(8). 603–607. 29 indexed citations
16.
Zhu, Lei, Yuhuan Li, Shaohua Li, et al.. (2011). Inhibition of Influenza A Virus (H1N1) Fusion by Benzenesulfonamide Derivatives Targeting Viral Hemagglutinin. PLoS ONE. 6(12). e29120–e29120. 47 indexed citations
17.
Yang, Guang, Yaping Gao, Jiannan Feng, et al.. (2008). C-terminus of TRAP in &lt;italic&gt;Staphylococcus&lt;/italic&gt; can enhance the activity of lysozyme and lysostaphin. Acta Biochimica et Biophysica Sinica. 40(5). 452–458. 4 indexed citations
18.
Li, Shaohua, et al.. (2008). The synthesis and preliminary activity assay In Vitro of peptide-like derivatives as APN inhibitors. Archives of Pharmacal Research. 31(10). 1231–1239. 5 indexed citations
19.
Li, Xiaodong & Shaohua Li. (2006). Optimization for Extraction and Determination of Resveratrol in Grapes by HPLC. Acta Horticulturae Sinica. 33(4). 836. 1 indexed citations
20.
Smirnov, Sergei, Erin L. McDearmon, Shaohua Li, et al.. (2002). Contributions of the LG Modules and Furin Processing to Laminin-2 Functions. Journal of Biological Chemistry. 277(21). 18928–18937. 76 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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