Dejia Li

4.6k total citations
65 papers, 3.0k citations indexed

About

Dejia Li is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Dejia Li has authored 65 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 23 papers in Cancer Research and 11 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Dejia Li's work include Circular RNAs in diseases (17 papers), MicroRNA in disease regulation (15 papers) and Cancer-related molecular mechanisms research (14 papers). Dejia Li is often cited by papers focused on Circular RNAs in diseases (17 papers), MicroRNA in disease regulation (15 papers) and Cancer-related molecular mechanisms research (14 papers). Dejia Li collaborates with scholars based in China, United States and Canada. Dejia Li's co-authors include Cheng‐Cao Sun, Shujun Li, Dongsheng Duan, Feng Zhang, Yongyong Xi, Yongping Yue, Liang Wang, Yi Lai, Qi‐qiang He and Yongyi Bi and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Dejia Li

65 papers receiving 3.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dejia Li 2.3k 1.4k 280 268 227 65 3.0k
Alessandra Pasut 1.7k 0.7× 516 0.4× 156 0.6× 376 1.4× 133 0.6× 20 2.6k
Haixiang Sun 1.6k 0.7× 1.1k 0.8× 266 0.9× 149 0.6× 117 0.5× 186 4.7k
Yi Wen Kong 1.8k 0.8× 1.1k 0.8× 105 0.4× 115 0.4× 87 0.4× 42 2.7k
Guijun Yan 1.4k 0.6× 849 0.6× 220 0.8× 169 0.6× 168 0.7× 107 3.4k
Wenxian Fu 1.2k 0.5× 567 0.4× 389 1.4× 365 1.4× 239 1.1× 29 2.8k
Rubén García-Martín 2.1k 0.9× 1.5k 1.0× 123 0.4× 731 2.7× 411 1.8× 33 3.3k
Mikko P. Turunen 1.5k 0.7× 565 0.4× 421 1.5× 109 0.4× 123 0.5× 51 2.3k
Andrea Bábelová 1.1k 0.5× 296 0.2× 169 0.6× 255 1.0× 181 0.8× 46 2.7k
Isabella Caniggia 1.9k 0.9× 892 0.6× 311 1.1× 260 1.0× 123 0.5× 105 6.1k
Yuan Yang 1.1k 0.5× 391 0.3× 125 0.4× 181 0.7× 95 0.4× 64 2.8k

Countries citing papers authored by Dejia Li

Since Specialization
Citations

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

Fields of papers citing papers by Dejia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dejia Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dejia Li. A scholar is included among the top collaborators of Dejia 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 Dejia Li. Dejia 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.
Zhu, Shijie, Faxue Zhang, Wei Zhu, et al.. (2024). Association between long-term exposure to fine particulate matter and its chemical constituents and premature death in individuals living with HIV/AIDS. Environmental Pollution. 351. 124052–124052. 1 indexed citations
2.
Li, Zhiyong, et al.. (2024). Track trajectory, molten pool and defect characterization in NiTi single-track selective laser melting (SLM) experiments. Journal of Materials Research and Technology. 33. 5210–5222. 5 indexed citations
3.
Li, Chong, Keqian Zhang, Qinan Wu, et al.. (2023). Based on cuproptosis-related lncRNAs, a novel prognostic signature for colon adenocarcinoma prognosis, immunotherapy, and chemotherapy response. Frontiers in Pharmacology. 14. 1200054–1200054. 5 indexed citations
4.
Zhang, Faxue, Yuanyuan Zhong, Yan Zhang, et al.. (2023). Independent and interactive effects of ozone and thermal inversion exposure on the risk of gestational diabetes mellitus in Wuhan, China. Environmental Science and Pollution Research. 30(39). 91315–91323. 1 indexed citations
5.
Zhang, Faxue, Xupeng Zhang, Shijie Zhu, et al.. (2022). The associations between short-term exposure to ambient particulate matter and hospitalizations for osteoporotic fracture in Hangzhou: a time-stratified case-crossover study. Archives of Osteoporosis. 18(1). 4–4. 3 indexed citations
6.
Zhang, Faxue, Heng Tang, Xupeng Zhang, et al.. (2022). Short-term exposure to ambient particulate matter and mortality among HIV/AIDS patients: Case-crossover evidence from all counties of Hubei province, China. The Science of The Total Environment. 857(Pt 2). 159410–159410. 6 indexed citations
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Huang, Jingyu, Aifen Wang, Ganjun Kang, Dejia Li, & Weidong Hu. (2020). Clinical course of patients infected with severe acute respiratory syndrome coronavirus 2 soon after thoracoscopic lung surgery. Journal of Thoracic and Cardiovascular Surgery. 160(2). e91–e93. 6 indexed citations
11.
Hu, Wei, Cong Liu, Zhuoyue Bi, et al.. (2020). Comprehensive landscape of extracellular vesicle-derived RNAs in cancer initiation, progression, metastasis and cancer immunology. Molecular Cancer. 19(1). 102–102. 168 indexed citations
12.
Sun, Cheng‐Cao, Shujun Li, Zhenlong Chen, et al.. (2018). Expression and Prognosis Analyses of Runt-Related Transcription Factor Family in Human Leukemia. Molecular Therapy — Oncolytics. 12. 103–111. 33 indexed citations
13.
Wang, Liang, Yongyong Xi, Cheng‐Cao Sun, et al.. (2017). CDK3 is a major target of miR-150 in cell proliferation and anti-cancer effect. Experimental and Molecular Pathology. 102(2). 181–190. 8 indexed citations
14.
Sun, Cheng‐Cao, Shujun Li, Cuili Yang, et al.. (2016). MicroRNA-187-3p mitigates non-small cell lung cancer (NSCLC) development through down-regulation of BCL6. Biochemical and Biophysical Research Communications. 471(1). 82–88. 100 indexed citations
15.
Xi, Yongyong, Liang Wang, Cheng‐Cao Sun, et al.. (2016). The novel miR-9501 inhibits cell proliferation, migration and activates apoptosis in non-small cell lung cancer. Medical Oncology. 33(11). 124–124. 20 indexed citations
16.
Huang, Junchao, Cheng‐Cao Sun, Suqing Wang, Qi‐qiang He, & Dejia Li. (2015). microRNA miR-10b inhibition reduces cell proliferation and promotes apoptosis in non-small cell lung cancer (NSCLC) cells. Molecular BioSystems. 11(7). 2051–2059. 55 indexed citations
17.
Sun, Cheng‐Cao, et al.. (2014). miR-33a levels in hepatic and serum after chronic HBV-induced fibrosis. Journal of Gastroenterology. 50(4). 480–490. 40 indexed citations
18.
Li, Dejia, Yongping Yue, Yi Lai, Chady H. Hakim, & Dongsheng Duan. (2010). Nitrosative stress elicited by nNOSµ delocalization inhibits muscle force in dystrophin‐null mice. The Journal of Pathology. 223(1). 88–98. 82 indexed citations
19.
Lai, Yi, Gail D. Thomas, Yongping Yue, et al.. (2009). Dystrophins carrying spectrin-like repeats 16 and 17 anchor nNOS to the sarcolemma and enhance exercise performance in a mouse model of muscular dystrophy. Journal of Clinical Investigation. 119(3). 624–635. 295 indexed citations
20.
Li, Dejia, Yi Lai, Yongping Yue, et al.. (2009). Ectopic Catalase Expression in Mitochondria by Adeno-Associated Virus Enhances Exercise Performance in Mice. PLoS ONE. 4(8). e6673–e6673. 23 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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