Li Chai

9.0k total citations · 1 hit paper
135 papers, 5.1k citations indexed

About

Li Chai is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Li Chai has authored 135 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 16 papers in Oncology and 16 papers in Immunology. Recurrent topics in Li Chai's work include Renal and related cancers (39 papers), Pluripotent Stem Cells Research (19 papers) and Epigenetics and DNA Methylation (13 papers). Li Chai is often cited by papers focused on Renal and related cancers (39 papers), Pluripotent Stem Cells Research (19 papers) and Epigenetics and DNA Methylation (13 papers). Li Chai collaborates with scholars based in China, United States and Singapore. Li Chai's co-authors include Erica L. Herzog, Diane Krause, Yupo Ma, Jianchang Yang, Chong Gao, Daniel G. Tenen, Nikki R. Kong, Zixuan Zhan, Leslie E. Silberstein and Yi Lv and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Li Chai

129 papers receiving 5.0k citations

Hit Papers

Plasticity of marrow-derived stem cells 2003 2026 2010 2018 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Chai China 34 3.4k 685 569 534 521 135 5.1k
Annette T. Byrne Ireland 28 1.6k 0.5× 827 1.2× 1.2k 2.1× 1.3k 2.4× 202 0.4× 71 4.8k
Xuesong Gu United States 34 2.8k 0.8× 642 0.9× 1.0k 1.8× 472 0.9× 229 0.4× 74 4.3k
Jun Qian China 28 1.9k 0.6× 436 0.6× 448 0.8× 681 1.3× 408 0.8× 113 3.5k
David W. White United States 18 2.8k 0.8× 2.0k 2.9× 545 1.0× 348 0.7× 267 0.5× 36 5.7k
He Yu Canada 35 994 0.3× 442 0.6× 660 1.2× 1.4k 2.6× 295 0.6× 83 3.5k
William J. Lane United States 20 2.9k 0.9× 654 1.0× 1.1k 2.0× 286 0.5× 431 0.8× 46 4.4k
David A. Hess Canada 34 1.8k 0.5× 659 1.0× 1.1k 2.0× 285 0.5× 1.1k 2.1× 125 4.2k
Kenneth A. Thomas United States 47 5.7k 1.7× 1.5k 2.2× 1.3k 2.3× 413 0.8× 749 1.4× 92 8.5k
Barbara Schmalfeldt Germany 33 1.2k 0.4× 855 1.2× 1.5k 2.6× 386 0.7× 819 1.6× 130 4.2k
Jeanette M. Wood Switzerland 45 3.7k 1.1× 846 1.2× 2.0k 3.6× 812 1.5× 427 0.8× 103 7.5k

Countries citing papers authored by Li Chai

Since Specialization
Citations

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

Fields of papers citing papers by Li Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Li Chai. A scholar is included among the top collaborators of Li Chai 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 Li Chai. Li Chai 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.
Hu, Wei, Li Chai, Xin Chen, et al.. (2024). Unveiling dynamic alterations of lipid droplet polarity during NAFLD-triggered lipophagy utilizing a far-red fluorescent probe with large stokes shift. Sensors and Actuators B Chemical. 422. 136509–136509. 15 indexed citations
2.
3.
Shen, Ziyang, Na Yu, Li Chai, et al.. (2024). A Novel Small Molecule Drug-Based Approach for Treating Beta-Globinopathies. Blood. 144(Supplement 1). 172–172.
4.
Pu, Yaoyu, et al.. (2023). Multimode evaluating the fluctuation of lipid droplets polarity in acute kidney injury and tumor models. Sensors and Actuators B Chemical. 380. 133343–133343. 23 indexed citations
5.
Jiang, Wen, Tingting Qiao, Xiaqing Yu, et al.. (2023). Integrated microbiome and metabolome analysis reveals a distinct microbial and metabolic signature in Graves' disease and hypothyroidism. Heliyon. 9(11). e21463–e21463. 2 indexed citations
6.
Jajosky, Ryan Philip, Kashyap Patel, Patricia E. Zerra, et al.. (2023). Antibody-mediated antigen loss switches augmented immunity to antibody-mediated immunosuppression. Blood. 142(12). 1082–1098. 17 indexed citations
7.
Liu, Jun, Kevin Park, Ziyang Shen, et al.. (2023). Immunotherapy, targeted therapy, and their cross talks in hepatocellular carcinoma. Frontiers in Immunology. 14. 1285370–1285370. 9 indexed citations
8.
Teng, Yan, Fabien Loison, Aiming Pang, et al.. (2021). Targeting multiple cell death pathways extends the shelf life and preserves the function of human and mouse neutrophils for transfusion. Science Translational Medicine. 13(604). 18 indexed citations
9.
Xu, Ting, Wenbo Zhang, Li Chai, et al.. (2021). Methyltransferase‐like 3‐induced N6‐methyladenosine upregulation promotes oral squamous cell carcinoma by through p38. Oral Diseases. 29(2). 639–648. 13 indexed citations
10.
Liu, Jun, et al.. (2021). SALL4 and microRNA: The Role of Let-7. Genes. 12(9). 1301–1301. 9 indexed citations
11.
Jiang, Wen, Xiaqing Yu, Yingchun Song, et al.. (2020). Gut Microbiota May Play a Significant Role in the Pathogenesis of Graves' Disease. Thyroid. 31(5). 810–820. 64 indexed citations
12.
Dai, Jiaqi, Xiaqing Yu, Yali Han, et al.. (2020). TMT-labeling Proteomics of Papillary Thyroid Carcinoma Reveal Invasive Biomarkers. Journal of Cancer. 11(20). 6122–6132. 19 indexed citations
13.
Liu, Chao, Shengfeng Li, Haiwei Wu, et al.. (2019). Autophagy‐related gene expression regulated by HIF‐1α in salivary adenoid cystic carcinoma. Oral Diseases. 25(4). 1076–1083. 9 indexed citations
14.
Chai, Li, et al.. (2018). The construction and analysis of gene co-expression network of differentially expressed genes identifies potential biomarkers in thyroid cancer. Translational Cancer Research. 7(5). 1235–1243. 1 indexed citations
15.
Chai, Li, Jia Li, & Zhongwei Lv. (2015). An integrated analysis of cancer genes in thyroid cancer. Oncology Reports. 35(2). 962–970. 22 indexed citations
16.
Yong, Kol Jia, Chong Gao, Joline S.J. Lim, et al.. (2013). Oncofetal Gene SALL4 in Aggressive Hepatocellular Carcinoma. New England Journal of Medicine. 368(24). 2266–2276. 198 indexed citations
17.
He, Jie, et al.. (2013). Low-expression of microRNA-107 inhibits cell apoptosis in glioma by upregulation of SALL4. The International Journal of Biochemistry & Cell Biology. 45(9). 1962–1973. 61 indexed citations
18.
Liang, Olin D., Jiayun Lu, César Nombela‐Arrieta, et al.. (2013). Deficiency of Lipid Phosphatase SHIP Enables Long-Term Reconstitution of Hematopoietic Inductive Bone Marrow Microenvironment. Developmental Cell. 25(4). 333–349. 8 indexed citations
19.
Jeong, Ha‐Won, Wei Cui, Youyang Yang, et al.. (2011). SALL4, a Stem Cell Factor, Affects the Side Population by Regulation of the ATP-Binding Cassette Drug Transport Genes. PLoS ONE. 6(4). e18372–e18372. 53 indexed citations
20.
Chai, Li, et al.. (2000). The Townes-Brocks syndrome gene product is expressed at the multiple levels of reproductive endocrine axis and sex hormone-producing tumors. Laboratory Investigation. 80(1). 72. 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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