Long‐Cheng Li

5.9k total citations · 2 hit papers
69 papers, 4.7k citations indexed

About

Long‐Cheng Li is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Long‐Cheng Li has authored 69 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 17 papers in Cancer Research and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Long‐Cheng Li's work include RNA Interference and Gene Delivery (15 papers), MicroRNA in disease regulation (14 papers) and Epigenetics and DNA Methylation (14 papers). Long‐Cheng Li is often cited by papers focused on RNA Interference and Gene Delivery (15 papers), MicroRNA in disease regulation (14 papers) and Epigenetics and DNA Methylation (14 papers). Long‐Cheng Li collaborates with scholars based in United States, China and Japan. Long‐Cheng Li's co-authors include Rajvir Dahiya, Robert F. Place, Deepa Pookot, Emily J. Noonan, Steven T. Okino, Peter R. Carroll, Shinji Urakami, Hideki Enokida, Ashutosh Dharap and Raghu Vemuganti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Long‐Cheng Li

68 papers receiving 4.6k citations

Hit Papers

MicroRNA-373 induces expression of genes with complementa... 2006 2026 2012 2019 2008 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long‐Cheng Li United States 32 3.7k 2.1k 567 412 363 69 4.7k
Damjan Glavač Slovenia 39 3.1k 0.8× 2.2k 1.1× 569 1.0× 538 1.3× 433 1.2× 143 5.0k
Xiang Ao China 35 3.0k 0.8× 1.6k 0.8× 699 1.2× 365 0.9× 240 0.7× 96 4.4k
Wenbo Li China 31 4.7k 1.3× 2.0k 1.0× 408 0.7× 485 1.2× 165 0.5× 91 5.9k
Richard Possemato United States 26 4.1k 1.1× 1.9k 0.9× 892 1.6× 412 1.0× 231 0.6× 40 5.5k
Giovanna Maria Pierantoni Italy 38 2.1k 0.6× 933 0.4× 315 0.6× 287 0.7× 271 0.7× 82 3.2k
Daisuke Nakada United States 31 3.5k 1.0× 1.1k 0.5× 709 1.3× 483 1.2× 280 0.8× 76 4.9k
Yaoting Gui China 33 2.8k 0.8× 1.8k 0.9× 330 0.6× 593 1.4× 320 0.9× 164 4.6k
P A Jones United States 14 4.3k 1.2× 966 0.5× 333 0.6× 678 1.6× 386 1.1× 19 5.1k
Kuniko Horie‐Inoue Japan 40 2.4k 0.7× 1.3k 0.6× 591 1.0× 611 1.5× 151 0.4× 103 4.1k
Young Il Yeom South Korea 36 3.0k 0.8× 848 0.4× 253 0.4× 662 1.6× 246 0.7× 99 4.2k

Countries citing papers authored by Long‐Cheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Long‐Cheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long‐Cheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Long‐Cheng Li. A scholar is included among the top collaborators of Long‐Cheng 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 Long‐Cheng Li. Long‐Cheng 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.
Li, Long‐Cheng, et al.. (2025). RNAa: Mechanisms, therapeutic potential, and clinical progress. Molecular Therapy — Nucleic Acids. 36(2). 102494–102494. 3 indexed citations
2.
Kang, Moorim, Zubao Gan, Vera Huang, et al.. (2024). Intrathecal administration of a novel siRNA modality extends survival and improves motor function in the SOD1G93A ALS mouse model. Molecular Therapy — Nucleic Acids. 35(1). 102147–102147. 9 indexed citations
3.
Zhang, Qi, et al.. (2023). p21CIP/WAF1 saRNA inhibits proliferative vitreoretinopathy in a rabbit model. PLoS ONE. 18(2). e0282063–e0282063. 8 indexed citations
4.
Földes‐Papp, Zeno, Gerd Baumann, & Long‐Cheng Li. (2021). Visualization of subdiffusive sites in a live single cell. Journal of Biological Methods. 8(1). 1–1. 1 indexed citations
5.
Kang, Moo Rim, Ki Hwan Park, Chang Woo Lee, et al.. (2018). Small activating RNA induced expression of VHL gene in renal cell carcinoma. The International Journal of Biochemistry & Cell Biology. 97. 36–42. 14 indexed citations
6.
Li, Long‐Cheng. (2017). Small RNA-Guided Transcriptional Gene Activation (RNAa) in Mammalian Cells. Advances in experimental medicine and biology. 983. 1–20. 17 indexed citations
7.
Kang, Moo Rim, et al.. (2017). Development of Therapeutic dsP21-322 for Cancer Treatment. Advances in experimental medicine and biology. 983. 217–229. 6 indexed citations
8.
Li, Long‐Cheng. (2017). RNA Activation. Advances in experimental medicine and biology. 3 indexed citations
9.
Li, Long‐Cheng. (2014). AB74. MicroRNAs fuels cancer growth through the RNAa mechanism. Translational Andrology and Urology. 3. 74–74. 1 indexed citations
10.
Guo, Dan, et al.. (2014). RNAa in action: From the exception to the norm. RNA Biology. 11(10). 1221–1225. 29 indexed citations
11.
Kang, Moo Rim, Glen Yang, Robert F. Place, et al.. (2012). Intravesical Delivery of Small Activating RNA Formulated into Lipid Nanoparticles Inhibits Orthotopic Bladder Tumor Growth. Cancer Research. 72(19). 5069–5079. 87 indexed citations
12.
Place, Robert F., Ji Wang, Emily J. Noonan, et al.. (2012). Formulation of Small Activating RNA Into Lipidoid Nanoparticles Inhibits Xenograft Prostate Tumor Growth by Inducing p21 Expression. Molecular Therapy — Nucleic Acids. 1. e15–e15. 48 indexed citations
13.
Noonan, Emily J., Robert F. Place, Shashwati Basak, Deepa Pookot, & Long‐Cheng Li. (2010). miR-449a causes Rb-dependent cell cycle arrest and senescence in prostate cancer cells. Oncotarget. 1(5). 349–358. 125 indexed citations
14.
Ning, Hongxiu, Gang Liu, Guiting Lin, et al.. (2009). Identification of an aberrant cell line among human adipose tissue-derived stem cell isolates. Differentiation. 77(2). 172–180. 28 indexed citations
15.
Place, Robert F., Long‐Cheng Li, Deepa Pookot, Emily J. Noonan, & Rajvir Dahiya. (2008). MicroRNA-373 induces expression of genes with complementary promoter sequences. Proceedings of the National Academy of Sciences. 105(5). 1608–1613. 978 indexed citations breakdown →
16.
Chen, Zhong, Robert F. Place, Zhejun Jia, et al.. (2008). Antitumor effect of dsRNA-induced p21WAF1/CIP1 gene activation in human bladder cancer cells. Molecular Cancer Therapeutics. 7(3). 698–703. 79 indexed citations
17.
Li, Long‐Cheng. (2007). Epigenetics of prostate cancer. Frontiers in bioscience. 12(8-12). 3377–3377. 49 indexed citations
18.
Li, Long‐Cheng. (2007). Designing PCR Primer for DNA Methylation Mapping. Methods in molecular biology. 402. 370–383. 32 indexed citations
19.
Zhang, Xu, Xin Ma, Hongzhao Li, et al.. (2004). Retroperitoneoscopic subcapsular nephrectomy for infective nonfunctioning kidney with dense perinephric adhesions. British Journal of Urology. 94(9). 1329–1331. 18 indexed citations
20.
Li, Long‐Cheng, Hiroaki Shiina, Masao Deguchi, et al.. (2004). Age-dependent methylation of ESR1 gene in prostate cancer. Biochemical and Biophysical Research Communications. 321(2). 455–461. 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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