Chiang J. Li

3.6k total citations · 1 hit paper
42 papers, 2.8k citations indexed

About

Chiang J. Li is a scholar working on Molecular Biology, Oncology and Toxicology. According to data from OpenAlex, Chiang J. Li has authored 42 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 13 papers in Oncology and 6 papers in Toxicology. Recurrent topics in Chiang J. Li's work include RNA Interference and Gene Delivery (15 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Cancer Cells and Metastasis (7 papers). Chiang J. Li is often cited by papers focused on RNA Interference and Gene Delivery (15 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Cancer Cells and Metastasis (7 papers). Chiang J. Li collaborates with scholars based in United States, South Korea and Japan. Chiang J. Li's co-authors include Arthur B. Pardee, Youzhi Li, Valeri Metelev, Chuanlin Wang, David J. Friedman, Harry A. Rogoff, Shuanglin Xiang, Xiangao Sun, Johannes Fruehauf and António Pinto and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Chiang J. Li

42 papers receiving 2.7k citations

Hit Papers

Suppression of cancer rel... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiang J. Li United States 21 1.7k 712 448 439 415 42 2.8k
Mark T. Muller United States 38 2.8k 1.7× 802 1.1× 106 0.2× 268 0.6× 337 0.8× 88 3.8k
Osamu Koiwai Japan 31 1.9k 1.1× 496 0.7× 47 0.1× 384 0.9× 85 0.2× 96 3.1k
Katerina V. Gurova United States 34 2.3k 1.4× 823 1.2× 107 0.2× 292 0.7× 61 0.1× 84 3.1k
Lorenzo M. Leoni United States 30 1.8k 1.1× 817 1.1× 350 0.8× 758 1.7× 22 0.1× 57 3.7k
K Paull United States 10 1.5k 0.9× 925 1.3× 86 0.2× 121 0.3× 116 0.3× 13 2.3k
Maurizio Cianfriglia Italy 29 1.3k 0.8× 1.2k 1.6× 215 0.5× 340 0.8× 31 0.1× 100 2.5k
Paul Payette Canada 20 1.3k 0.8× 220 0.3× 86 0.2× 1.4k 3.2× 69 0.2× 24 2.9k
Euphemia Leung New Zealand 35 2.2k 1.3× 815 1.1× 43 0.1× 1.2k 2.8× 74 0.2× 160 4.3k
Jeng‐Pyng Shaw United States 18 1.1k 0.7× 243 0.3× 224 0.5× 516 1.2× 23 0.1× 29 2.2k
Yves Collette France 36 1.7k 1.0× 621 0.9× 776 1.7× 1.5k 3.3× 21 0.1× 90 3.6k

Countries citing papers authored by Chiang J. Li

Since Specialization
Citations

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

Fields of papers citing papers by Chiang J. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiang J. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chiang J. Li. A scholar is included among the top collaborators of Chiang J. 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 Chiang J. Li. Chiang J. 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.
Pardee, Arthur B. & Chiang J. Li. (2018). Two controls of cell proliferation underlie cancer relapse. Journal of Cellular Physiology. 233(11). 8437–8440. 7 indexed citations
2.
Murata, Masashi, Simon J. Dovedi, Robert W. Wilkinson, et al.. (2015). TLR7 tolerance is independent of the type I IFN pathway and leads to loss of anti-tumor efficacy in mice. Cancer Immunology Immunotherapy. 64(10). 1229–1239. 19 indexed citations
3.
Ghisolfi, Laura, Andrew C. Keates, Xingwang Hu, Dong-ki Lee, & Chiang J. Li. (2012). Ionizing Radiation Induces Stemness in Cancer Cells. PLoS ONE. 7(8). e43628–e43628. 136 indexed citations
4.
Hu, Xingwang, Laura Ghisolfi, Andrew C. Keates, et al.. (2012). Induction of cancer cell stemness by chemotherapy. Cell Cycle. 11(14). 2691–2698. 84 indexed citations
5.
6.
Munshi, Neru, Sébastien Jeay, Youzhi Li, et al.. (2010). ARQ 197, a Novel and Selective Inhibitor of the Human c-Met Receptor Tyrosine Kinase with Antitumor Activity. Molecular Cancer Therapeutics. 9(6). 1544–1553. 274 indexed citations
7.
Langleben, Adrian, Jeffrey G. Supko, Sébastien J. Hotte, et al.. (2010). Abstract LB-171: A phase 1 dose escalation study of BBI608, a first-in-class cancer stem cell pathway inhibitor in patients with advanced malignancies. Cancer Research. 70(8_Supplement). LB–171. 1 indexed citations
8.
Zhang, Bin, et al.. (2008). High-Content Fluorescent-Based Assay for Screening Activators of DNA Damage Checkpoint Pathways. SLAS DISCOVERY. 13(6). 538–543. 11 indexed citations
9.
Sun, Xiangao, Harry A. Rogoff, & Chiang J. Li. (2008). Asymmetric RNA duplexes mediate RNA interference in mammalian cells. Nature Biotechnology. 26(12). 1379–1382. 94 indexed citations
10.
Keates, Andrew C., et al.. (2007). Cequent Pharmaceuticals, Inc.: The Biological Pitcher for RNAi Therapeutics. Pharmacogenomics. 8(7). 867–871. 6 indexed citations
11.
Xiang, Shuanglin, Johannes Fruehauf, & Chiang J. Li. (2006). Short hairpin RNA–expressing bacteria elicit RNA interference in mammals. Nature Biotechnology. 24(6). 697–702. 196 indexed citations
12.
Li, Chiang J.. (2006). Therapeutic biology: Checkpoint pathway activation therapy, HIV Tat, and transkingdom RNA interference. Journal of Cellular Physiology. 209(3). 695–700. 5 indexed citations
13.
Sun, Xiangao, Youzhi Li, Wěi Li, et al.. (2006). Selective Induction of Necrotic Cell Death in Cancer Cells by β-Lapachone through Activation of DNA Damage Response Pathway. Cell Cycle. 5(17). 2029–2035. 26 indexed citations
14.
Fruehauf, Johannes, et al.. (2006). Genomic Instability in Precancerous Lesions before Inactivation of Tumor Suppressors p53 and APC in Patients. Cell Cycle. 5(13). 1443–1447. 12 indexed citations
15.
Chen, Chang-Rung, et al.. (2005). Dual Induction of Apoptosis and Senescence in Cancer Cells by Chk2 Activation: Checkpoint Activation as a Strategy against Cancer. Cancer Research. 65(14). 6017–6021. 41 indexed citations
16.
Li, Youzhi, Chiang J. Li, Donghui Yu, & Arthur B. Pardee. (2000). Potent Induction of Apoptosis by β-Lapachone in Human Multiple Myeloma Cell Lines and Patient Cells. Molecular Medicine. 6(12). 1008–1015. 46 indexed citations
17.
Li, Chiang J., Youzhi Li, António Pinto, & Arthur B. Pardee. (1999). Potent inhibition of tumor survivalin vivoby β-lapachone plus taxol: Combining drugs imposes different artificial checkpoints. Proceedings of the National Academy of Sciences. 96(23). 13369–13374. 152 indexed citations
18.
Li, Chiang J., Yutaka Ueda, Bin Shi, et al.. (1997). Tat protein induces self-perpetuating permissivity for productive HIV-1 infection. Proceedings of the National Academy of Sciences. 94(15). 8116–8120. 98 indexed citations
19.
Li, Chiang J., David J. Friedman, Chuanlin Wang, Valeri Metelev, & Arthur B. Pardee. (1995). Induction of Apoptosis in Uninfected Lymphocytes by HIV-1 Tat Protein. Science. 268(5209). 429–431. 497 indexed citations
20.
Li, Chiang J., Bruce J. Dezube, Debajit K. Biswas, Christoph M. Ahlers, & Arthur B. Pardee. (1994). Inhibitors of HIV-1 transcription. Trends in Microbiology. 2(5). 164–169. 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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