Chenglong Li

8.5k total citations
173 papers, 6.1k citations indexed

About

Chenglong Li is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Chenglong Li has authored 173 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Molecular Biology, 65 papers in Oncology and 29 papers in Immunology. Recurrent topics in Chenglong Li's work include Cytokine Signaling Pathways and Interactions (48 papers), Cancer-related gene regulation (16 papers) and Protein Tyrosine Phosphatases (14 papers). Chenglong Li is often cited by papers focused on Cytokine Signaling Pathways and Interactions (48 papers), Cancer-related gene regulation (16 papers) and Protein Tyrosine Phosphatases (14 papers). Chenglong Li collaborates with scholars based in United States, China and Poland. Chenglong Li's co-authors include Jiayuh Lin, Pui‐Kai Li, James R. Fuchs, Li Lin, Ryan E. Pavlovicz, Sarah Ball, Stephanie Deangelis, Huameng Li, David Jou and Bulbul Pandit and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Chenglong Li

169 papers receiving 6.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenglong Li United States 48 3.6k 1.9k 1.0k 839 673 173 6.1k
Melinda G. Hollingshead United States 45 3.9k 1.1× 1.9k 1.0× 1.2k 1.2× 493 0.6× 1.1k 1.6× 167 6.9k
Sharmila Shankar United States 56 5.7k 1.6× 2.2k 1.1× 1.4k 1.4× 595 0.7× 392 0.6× 101 9.0k
Devarajan Karunagaran India 39 3.4k 0.9× 2.2k 1.1× 970 0.9× 419 0.5× 464 0.7× 99 5.9k
Jiayuh Lin United States 55 4.9k 1.4× 5.3k 2.7× 1.3k 1.2× 1.2k 1.4× 545 0.8× 137 8.6k
Min Huang China 45 5.4k 1.5× 1.8k 0.9× 1.2k 1.1× 787 0.9× 704 1.0× 264 8.0k
Kodappully Sivaraman Siveen United States 38 2.7k 0.8× 1.2k 0.6× 951 0.9× 628 0.7× 386 0.6× 74 4.7k
Boon Cher Goh Singapore 53 4.2k 1.2× 3.1k 1.6× 1.7k 1.7× 654 0.8× 328 0.5× 227 8.8k
Amit K. Tiwari United States 40 3.1k 0.9× 2.1k 1.1× 643 0.6× 271 0.3× 1.0k 1.5× 215 6.5k
Asfar S. Azmi United States 51 6.7k 1.9× 3.4k 1.7× 3.0k 2.9× 667 0.8× 347 0.5× 217 10.5k
Gabriella D’Orazi Italy 43 3.8k 1.1× 2.3k 1.2× 1.5k 1.4× 661 0.8× 289 0.4× 131 6.3k

Countries citing papers authored by Chenglong Li

Since Specialization
Citations

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

Fields of papers citing papers by Chenglong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chenglong Li. A scholar is included among the top collaborators of Chenglong 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 Chenglong Li. Chenglong 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.
Zanon, Patrick R. A., et al.. (2025). The evolution and application of RNA-focused small molecule libraries. PubMed Central. 6(4). 510–527. 7 indexed citations
2.
Seabra, Gustavo, et al.. (2025). Discovery of PRMT5 N-Terminal TIM Barrel Ligands from Machine-Learning-Based Virtual Screening. ACS Omega. 10(1). 1156–1163. 3 indexed citations
3.
Damborský, Jiřı́, et al.. (2025). Biochemical and Computational Characterization of Haloalkane Dehalogenase Variants Designed by Generative AI: Accelerating the SN2 Step. Journal of the American Chemical Society. 147(3). 2747–2755. 5 indexed citations
4.
5.
Langaee, Taimour, et al.. (2024). Assessing the Performance of In silico Tools and Molecular Dynamics Simulations for Predicting Pharmacogenetic Variant Impact. Clinical Pharmacology & Therapeutics. 116(4). 1082–1089. 2 indexed citations
6.
Bist, Ganesh, et al.. (2023). SAR of L-ABBA analogs for GGT1 inhibitory activity and L-ABBA's effect on plasma cysteine and GSH species. Bioorganic & Medicinal Chemistry Letters. 92. 129406–129406.
7.
Roemeling, Christina A. Von, Bently P. Doonan, Lan Hoang-Minh, et al.. (2023). Oral IRAK-4 Inhibitor CA-4948 Is Blood-Brain Barrier Penetrant and Has Single-Agent Activity against CNS Lymphoma and Melanoma Brain Metastases. Clinical Cancer Research. 29(9). 1751–1762. 15 indexed citations
8.
Terzyan, S., et al.. (2022). Design and evaluation of novel analogs of 2-amino-4-boronobutanoic acid (ABBA) as inhibitors of human gamma-glutamyl transpeptidase. Bioorganic & Medicinal Chemistry. 73. 116986–116986. 3 indexed citations
9.
Yang, Xiaozhi, Jinhua Song, Wei Pei, et al.. (2021). A STAT3 inhibitor ameliorates CNS autoimmunity by restoring Teff:Treg Balance. JCI Insight. 6(4). 23 indexed citations
10.
Fang, Shuyi, Sheng Liu, Xufeng Chen, et al.. (2020). Protein Arginine Methyltransferase 5 Promotes pICln-Dependent Androgen Receptor Transcription in Castration-Resistant Prostate Cancer. Cancer Research. 80(22). 4904–4917. 28 indexed citations
11.
Li, Yanjun, et al.. (2020). Deep Learning in Drug Design: Protein-Ligand Binding Affinity Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 407–417. 47 indexed citations
12.
Li, Ping, et al.. (2020). Optimization of Cell Suspension Culture Conditions of Achyranthes bidentata. Chinese Bulletin of Botany. 55(1). 90. 1 indexed citations
13.
Liu, Jun, Changjian Xie, Gustavo Seabra, et al.. (2020). Ultrasensitive small molecule fluorogenic probe for human heparanase. Chemical Science. 12(1). 239–246. 13 indexed citations
14.
Yu, Wenying, Chenglong Li, Wenda Zhang, et al.. (2017). Discovery of an Orally Selective Inhibitor of Signal Transducer and Activator of Transcription 3 Using Advanced Multiple Ligand Simultaneous Docking. Journal of Medicinal Chemistry. 60(7). 2718–2731. 41 indexed citations
15.
Webb, Lindsay, Stephanie A. Amici, Kyle Jablonski, et al.. (2017). PRMT5-Selective Inhibitors Suppress Inflammatory T Cell Responses and Experimental Autoimmune Encephalomyelitis. The Journal of Immunology. 198(4). 1439–1451. 55 indexed citations
16.
Wang, Zhe, Gaozhi Chen, Linfeng Chen, et al.. (2015). Insights into the binding mode of curcumin to MD-2: studies from molecular docking, molecular dynamics simulations and experimental assessments. Molecular BioSystems. 11(7). 1933–1938. 31 indexed citations
17.
Kroon, Paula, Paul A. Berry, Michael J. Stower, et al.. (2013). JAK-STAT Blockade Inhibits Tumor Initiation and Clonogenic Recovery of Prostate Cancer Stem-like Cells. Cancer Research. 73(16). 5288–5298. 145 indexed citations
18.
Pavlyukov, Marat S., Kaushal Joshi, Habibe Kurt, et al.. (2012). Impairment of Glioma Stem Cell Survival and Growth by a Novel Inhibitor for Survivin–Ran Protein Complex. Clinical Cancer Research. 19(3). 631–642. 79 indexed citations
19.
Liu, Yan, Aiguo Liu, Huameng Li, Chenglong Li, & Jiayuh Lin. (2011). Celecoxib Inhibits Interleukin-6/Interleukin-6 Receptor–Induced JAK2/STAT3 Phosphorylation in Human Hepatocellular Carcinoma Cells. Cancer Prevention Research. 4(8). 1296–1305. 54 indexed citations
20.
Lin, Li, Brian Hutzen, Mingxin Zuo, et al.. (2010). Novel STAT3 Phosphorylation Inhibitors Exhibit Potent Growth-Suppressive Activity in Pancreatic and Breast Cancer Cells. Cancer Research. 70(6). 2445–2454. 197 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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