Shaoguang Li

5.6k total citations
104 papers, 3.9k citations indexed

About

Shaoguang Li is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Shaoguang Li has authored 104 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Hematology, 40 papers in Genetics and 24 papers in Molecular Biology. Recurrent topics in Shaoguang Li's work include Chronic Myeloid Leukemia Treatments (61 papers), Chronic Lymphocytic Leukemia Research (32 papers) and Eosinophilic Disorders and Syndromes (20 papers). Shaoguang Li is often cited by papers focused on Chronic Myeloid Leukemia Treatments (61 papers), Chronic Lymphocytic Leukemia Research (32 papers) and Eosinophilic Disorders and Syndromes (20 papers). Shaoguang Li collaborates with scholars based in United States, China and Australia. Shaoguang Li's co-authors include Yiguo Hu, Richard A. Van Etten, Cong Peng, Yaoyu Chen, Haojian Zhang, Dongguang Li, Ryan P. Million, Robert Ilaria, George Q. Daley and Huawei Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Shaoguang Li

97 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaoguang Li United States 29 2.3k 1.6k 1.4k 716 651 104 3.9k
Walter E. Aulitzky Germany 34 1.1k 0.5× 1.4k 0.9× 692 0.5× 221 0.3× 1.1k 1.7× 121 3.6k
Simona Soverini Italy 40 4.2k 1.8× 940 0.6× 3.2k 2.3× 1.9k 2.6× 646 1.0× 190 5.2k
Ronan Swords United States 27 1.1k 0.5× 1.8k 1.2× 464 0.3× 147 0.2× 655 1.0× 115 3.0k
Michael Heuser Germany 41 4.2k 1.8× 3.6k 2.2× 1.5k 1.1× 118 0.2× 1.0k 1.6× 250 6.7k
Lynn C. Moscinski United States 31 1.3k 0.6× 2.8k 1.7× 642 0.5× 172 0.2× 2.0k 3.1× 129 5.1k
Alexander Egle Austria 35 586 0.3× 2.0k 1.2× 1.2k 0.9× 144 0.2× 1.5k 2.2× 153 4.2k
Meyling Cheok France 26 1.2k 0.5× 1.3k 0.8× 298 0.2× 120 0.2× 508 0.8× 55 3.1k
Ivana Gojo United States 36 2.2k 0.9× 2.5k 1.6× 523 0.4× 65 0.1× 1.6k 2.4× 136 4.3k
Rose Ann Padua United Kingdom 32 1.2k 0.5× 1.6k 1.0× 464 0.3× 54 0.1× 926 1.4× 104 3.1k
Daniel A. Pollyea United States 44 6.0k 2.6× 4.6k 2.9× 1.6k 1.1× 109 0.2× 1.4k 2.2× 211 8.4k

Countries citing papers authored by Shaoguang Li

Since Specialization
Citations

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

Fields of papers citing papers by Shaoguang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoguang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoguang Li. A scholar is included among the top collaborators of Shaoguang 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 Shaoguang Li. Shaoguang 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.
Patel, Shyam A., Carmelina Gordon, Bruce A. Woda, et al.. (2025). Early identification of TP53 mutations and TP53 allelic state in myelodysplastic neoplasms and acute myeloid leukemia via point‐of‐care p53 immunohistochemistry. Cancer. 131(13). e35950–e35950. 2 indexed citations
2.
Liu, Song, Jianan Chen, Jianhong Li, et al.. (2024). Comparing perioperative outcomes between regional anesthesia and general anesthesia in patients undergoing hip fracture surgery: a systematic review and meta-analysis. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 71(6). 849–869. 6 indexed citations
5.
Wang, Yongan, et al.. (2023). In situ gelling hydrogel loaded with berberine liposome for the treatment of biofilm-infected wounds. Frontiers in Bioengineering and Biotechnology. 11. 1189010–1189010. 15 indexed citations
6.
7.
Li, Dongguang & Shaoguang Li. (2022). An artificial intelligence deep learning platform achieves high diagnostic accuracy for Covid-19 pneumonia by reading chest X-ray images. iScience. 25(4). 104031–104031. 19 indexed citations
8.
Liang, Tongzhou, Jincheng Qiu, Shaoguang Li, et al.. (2021). Inverse Agonist of Retinoid‐Related Orphan Receptor‐Alpha Prevents Apoptosis and Degeneration in Nucleus Pulposus Cells via Upregulation of YAP. Mediators of Inflammation. 2021(1). 9954909–9954909. 8 indexed citations
9.
Zhu, Zhongxin, et al.. (2020). Correlation between continuation of glucocorticoid treatment and risk of femoral head collapse. Der Orthopäde. 50(2). 143–149. 6 indexed citations
10.
Zhang, Haojian & Shaoguang Li. (2019). Concise Review: Exploiting Unique Biological Features of Leukemia Stem Cells for Therapeutic Benefit. Stem Cells Translational Medicine. 8(8). 768–774. 5 indexed citations
11.
Cheloni, Giulia, Michele Tanturli, Ignazia Tusa, et al.. (2017). Targeting chronic myeloid leukemia stem cells with the hypoxia-inducible factor inhibitor acriflavine. Blood. 130(5). 655–665. 69 indexed citations
12.
Xie, Huafeng, Cong Peng, Jialiang Huang, et al.. (2016). Chronic Myelogenous Leukemia– Initiating Cells Require Polycomb Group Protein EZH2. Cancer Discovery. 6(11). 1237–1247. 73 indexed citations
13.
Chen, Yaoyu, Yi Shan, Min Lü, et al.. (2016). Alox5 Blockade Eradicates JAK2V617F -Induced Polycythemia Vera in Mice. Cancer Research. 77(1). 164–174. 10 indexed citations
14.
Wetzel, Dawn M., et al.. (2016). The Src kinases Hck, Fgr, and Lyn activate Abl2/Arg to facilitate IgG-mediated phagocytosis and Leishmania infection. Journal of Cell Science. 129(16). 3130–43. 20 indexed citations
15.
Yang, Zhongfa, Haojian Zhang, Leyuan Ma, et al.. (2013). GABP transcription factor is required for development of chronic myelogenous leukemia via its control of PRKD2. Proceedings of the National Academy of Sciences. 110(6). 2312–2317. 22 indexed citations
16.
Wu, Biao, et al.. (2012). A bis-bisurea receptor with the R,R-cyclohexane-1,2-diamino spacer for phosphate and sulfate ions. Organic & Biomolecular Chemistry. 10(44). 8758–8758. 19 indexed citations
17.
Sun, Tiansheng, et al.. (2010). Preoperative preparation and surgical separation of conjoined pygopagus twins. Chinese Medical Journal. 123(13). 1800–1803. 5 indexed citations
18.
Peng, Cong & Shaoguang Li. (2009). CML Mouse Model in Translational Research. Methods in molecular biology. 602. 253–266. 11 indexed citations
19.
Li, Lianhua, et al.. (2008). Plating versus Intramedullary Nailing of Humeral Shaft Fractures in Adults:A Systematic Review. Zhongguo xunzheng yixue zazhi. 8(8). 662–667. 3 indexed citations
20.
Xu, Angao, et al.. (2000). The function of apoptosis and protein expression of Bcl-2, p53 and C-myc in the development of gastric cancer. World Journal of Gastroenterology. 6. 42–42. 7 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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