Can Li

465 total citations
19 papers, 329 citations indexed

About

Can Li is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Can Li has authored 19 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Hematology. Recurrent topics in Can Li's work include Multiple Myeloma Research and Treatments (4 papers), Bone Metabolism and Diseases (4 papers) and Influenza Virus Research Studies (3 papers). Can Li is often cited by papers focused on Multiple Myeloma Research and Treatments (4 papers), Bone Metabolism and Diseases (4 papers) and Influenza Virus Research Studies (3 papers). Can Li collaborates with scholars based in China, United States and Hong Kong. Can Li's co-authors include Kelvin Kai‐Wang To, Kwok‐Yung Yuen, Nan Su, Xiaolan Du, Ivan Fan‐Ngai Hung, Jasper Fuk‐Woo Chan, Houshun Zhu, Ling Zhao, Lin Chen and Kwok‐Hung Chan and has published in prestigious journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

In The Last Decade

Can Li

17 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Li China 12 168 96 77 56 39 19 329
Christine M. Barbon United States 9 164 1.0× 97 1.0× 112 1.5× 115 2.1× 65 1.7× 15 428
Kefan Bi China 11 239 1.4× 67 0.7× 63 0.8× 20 0.4× 45 1.2× 24 389
Weigang Shu China 8 147 0.9× 59 0.6× 142 1.8× 103 1.8× 63 1.6× 10 366
Wen Shi China 13 95 0.6× 100 1.0× 189 2.5× 43 0.8× 52 1.3× 21 387
Yoichi Nibe Japan 8 186 1.1× 104 1.1× 71 0.9× 24 0.4× 41 1.1× 13 322
Chengxiang Wu United States 11 159 0.9× 35 0.4× 74 1.0× 57 1.0× 66 1.7× 25 391
Naoteru Miyata Japan 9 160 1.0× 48 0.5× 53 0.7× 36 0.6× 97 2.5× 14 317
Esther Rodríguez Spain 13 127 0.8× 78 0.8× 56 0.7× 26 0.5× 138 3.5× 27 408

Countries citing papers authored by Can Li

Since Specialization
Citations

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

Fields of papers citing papers by Can Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Li

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

All Works

19 of 19 papers shown
1.
Li, Can, Dan Zhang, Xianyao Wang, et al.. (2025). From non‐coding RNAs to cancer regulators: The fascinating world of micropeptides. International Journal of Cancer. 157(5). 819–836.
2.
Li, Ying, Can Li, Mengyao Liu, et al.. (2023). The RNA-binding protein CSDE1 promotes hematopoietic stem and progenitor cell generation via translational control of Wnt signaling. Development. 150(21). 2 indexed citations
3.
Ding, Qiong, Dao‐Fu Dai, Manasa K. Nayak, et al.. (2021). Loss of diacylglycerol kinase ε causes thrombotic microangiopathy by impairing endothelial VEGFA signaling. JCI Insight. 6(9). 15 indexed citations
4.
Chen, Jin‐Ran, Umesh D. Wankhade, Sree V. Chintapalli, et al.. (2021). GPR109A mediates the effects of hippuric acid on regulating osteoclastogenesis and bone resorption in mice. Communications Biology. 4(1). 53–53. 18 indexed citations
5.
Peng, Liling, Shan Sun, Cheng‐Wei Huang, et al.. (2021). A genome-wide association study reveals that the cytochrome b5 involved in seed reserve mobilization during seed germination in rice. Theoretical and Applied Genetics. 134(12). 4067–4076. 10 indexed citations
6.
Li, Can, Jiliang Xia, Fangping Chen, et al.. (2021). TRIP13 modulates protein deubiquitination and accelerates tumor development and progression of B cell malignancies. Journal of Clinical Investigation. 131(14). 28 indexed citations
7.
Li, Can, Erik Wendlandt, Benjamin W. Darbro, et al.. (2021). Genetic Analysis of Multiple Myeloma Identifies Cytogenetic Alterations Implicated in Disease Complexity and Progression. Cancers. 13(3). 517–517. 16 indexed citations
8.
Tan, Xuelian, Cody Ashby, Yuqi Zhu, et al.. (2020). Iron Trafficking through Macrophages Regulates Signaling Pathways in Myeloma. Blood. 136(Supplement 1). 2–2. 1 indexed citations
9.
Li, Can, Yogesh Jethava, Ivana Frech, & Fenghuang Zhan. (2019). Development of an Easily Accessible Patient-Derived Xenograft (PDX) Mouse Model in Multiple Myeloma. Blood. 134(Supplement_1). 5538–5538.
10.
Li, Can, et al.. (2018). Real-Time Temperature Measurements of HMEC-1 Cells During Inflammation Production and Repair Detected by Wireless Thermometry. IEEE Transactions on Biomedical Engineering. 66(7). 1898–1904. 10 indexed citations
11.
Cheng, Lin, Qianmei Yang, Can Li, et al.. (2017). DDA1, a novel oncogene, promotes lung cancer progression through regulation of cell cycle. Journal of Cellular and Molecular Medicine. 21(8). 1532–1544. 15 indexed citations
12.
Li, Qian, Wei Ding, Fei Feng, et al.. (2017). α2,6-linked sialic acid serves as a high-affinity receptor for cancer oncolytic virotherapy with Newcastle disease virus. Journal of Cancer Research and Clinical Oncology. 143(11). 2171–2181. 11 indexed citations
13.
To, Kelvin Kai‐Wang, Jinxia Zhang, Andy Chan, et al.. (2015). Recombinant influenza A virus hemagglutinin HA2 subunit protects mice against influenza A(H7N9) virus infection. Archives of Virology. 160(3). 777–786. 17 indexed citations
14.
Li, Can, Chuangen Li, Jinxia Zhang, et al.. (2014). Avian Influenza A H7N9 Virus Induces Severe Pneumonia in Mice without Prior Adaptation and Responds to a Combination of Zanamivir and COX-2 Inhibitor. PLoS ONE. 9(9). e107966–e107966. 34 indexed citations
15.
Hung, Ivan Fan‐Ngai, Kelvin Kai‐Wang To, Jasper Fuk‐Woo Chan, et al.. (2014). Immunogenicity of Intradermal Trivalent Influenza Vaccine With Topical Imiquimod: A Double Blind Randomized Controlled Trial. Clinical Infectious Diseases. 59(9). 1246–1255. 62 indexed citations
16.
Li, Xiaogang, Nan Su, Can Li, et al.. (2014). [Genetic analysis of a novel mutation resulting in autosomal dominant osteopetrosis II].. PubMed. 31(5). 612–4. 1 indexed citations
17.
Su, Nan, Maomao Chen, Siyu Chen, et al.. (2012). Overexpression of H1 calponin in osteoblast lineage cells leads to a decrease in bone mass by disrupting osteoblast function and promoting osteoclast formation. Journal of Bone and Mineral Research. 28(3). 660–671. 19 indexed citations
18.
Su, Nan, Xiaoling Xu, Cuiling Li, et al.. (2010). Generation of Fgfr3 Conditional Knockout Mice. International Journal of Biological Sciences. 6(4). 327–332. 35 indexed citations
19.
Lu, Xiu‐Min, Nan Su, Jing Yang, et al.. (2009). Fibroblast growth factor receptor 1 regulates the differentiation and activation of osteoclasts through Erk1/2 pathway. Biochemical and Biophysical Research Communications. 390(3). 494–499. 35 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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