John T. Li

3.1k total citations
38 papers, 2.4k citations indexed

About

John T. Li is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, John T. Li has authored 38 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 8 papers in Electrical and Electronic Engineering and 8 papers in Biomedical Engineering. Recurrent topics in John T. Li's work include Graphene research and applications (9 papers), Advancements in Battery Materials (5 papers) and Supercapacitor Materials and Fabrication (4 papers). John T. Li is often cited by papers focused on Graphene research and applications (9 papers), Advancements in Battery Materials (5 papers) and Supercapacitor Materials and Fabrication (4 papers). John T. Li collaborates with scholars based in United States, United Kingdom and Spain. John T. Li's co-authors include James M. Tour, Michael G. Stanford, Weiyin Chen, Zhe Wang, Emily A. McHugh, Paul A. Advincula, Duy Xuan Luong, Jacob L. Beckham, Yieu Chyan and Dean Sheppard and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Nature Medicine.

In The Last Decade

John T. Li

38 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John T. Li United States 22 648 593 580 325 302 38 2.4k
Sei‐Young Lee South Korea 23 567 0.9× 214 0.4× 675 1.2× 136 0.4× 463 1.5× 80 2.6k
Yufei Tang China 34 1.1k 1.6× 363 0.6× 1.5k 2.5× 418 1.3× 672 2.2× 240 4.1k
Hui Pan China 28 426 0.7× 298 0.5× 443 0.8× 226 0.7× 535 1.8× 86 2.3k
Yaqian Li China 28 499 0.8× 853 1.4× 644 1.1× 243 0.7× 365 1.2× 125 2.7k
Qisheng Jiang China 30 529 0.8× 465 0.8× 1.1k 1.9× 365 1.1× 622 2.1× 88 4.4k
Lingxiang Liu China 33 425 0.7× 377 0.6× 972 1.7× 466 1.4× 1.8k 5.8× 116 4.3k
Jiamin Zhang China 34 1.5k 2.3× 380 0.6× 1.7k 3.0× 375 1.2× 649 2.1× 145 4.8k
Yiqing Chen China 25 567 0.9× 236 0.4× 462 0.8× 195 0.6× 476 1.6× 117 2.3k
Hong Zhao China 30 506 0.8× 741 1.2× 1.1k 1.9× 118 0.4× 467 1.5× 101 3.2k
Liang Ma China 33 542 0.8× 269 0.5× 2.2k 3.8× 131 0.4× 547 1.8× 160 4.2k

Countries citing papers authored by John T. Li

Since Specialization
Citations

This map shows the geographic impact of John T. 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 John T. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Li more than expected).

Fields of papers citing papers by John T. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John T. Li

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Li. A scholar is included among the top collaborators of John T. 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 John T. Li. John T. 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.
Chen, Jinhang, Yi Cheng, Phelecia Scotland, et al.. (2025). Dimension Engineering of Boron Nitride Nanostructures through Catalytic Flash Joule Heating. ACS Nano. 19(27). 24904–24911. 2 indexed citations
2.
Chen, Weiyin, Yi Cheng, Jinhang Chen, et al.. (2024). Nondestructive flash cathode recycling. Nature Communications. 15(1). 6250–6250. 38 indexed citations
3.
Li, John T., Kevin M. Wyss, Weiyin Chen, et al.. (2023). Laser-induced glassy carbon nanofiber trees. Carbon. 215. 118494–118494. 3 indexed citations
4.
Beckham, Jacob L., Gang Li, Bowen Li, et al.. (2023). Molecular machines stimulate intercellular calcium waves and cause muscle contraction. Nature Nanotechnology. 18(9). 1051–1059. 20 indexed citations
5.
Santos, Ana L., Dongdong Liu, John T. Li, et al.. (2022). Light-activated molecular machines are fast-acting broad-spectrum antibacterials that target the membrane. Science Advances. 8(22). eabm2055–eabm2055. 57 indexed citations
6.
Deng, Bing, Zhe Wang, Weiyin Chen, et al.. (2022). Phase controlled synthesis of transition metal carbide nanocrystals by ultrafast flash Joule heating. Nature Communications. 13(1). 262–262. 146 indexed citations
7.
Li, John T., et al.. (2021). Characteristics and outcomes of acute COVID-19 infection in paediatric and young adult patients with underlying cardiac disease. Cardiology in the Young. 32(8). 1261–1267. 4 indexed citations
8.
Beckham, Jacob L., John T. Li, Michael G. Stanford, et al.. (2021). High-Resolution Laser-Induced Graphene from Photoresist. ACS Nano. 15(5). 8976–8983. 79 indexed citations
9.
Stanford, Michael G., John T. Li, Yuda Chen, et al.. (2019). Self-Sterilizing Laser-Induced Graphene Bacterial Air Filter. ACS Nano. 13(10). 11912–11920. 123 indexed citations
10.
Stanford, Michael G., John T. Li, Yieu Chyan, et al.. (2019). Laser-Induced Graphene Triboelectric Nanogenerators. ACS Nano. 13(6). 7166–7174. 254 indexed citations
11.
Greenhalgh, Stephen N., Kylie P. Matchett, Richard S. Taylor, et al.. (2018). Loss of Integrin αvβ8 in Murine Hepatocytes Accelerates Liver Regeneration. American Journal Of Pathology. 189(2). 258–271. 9 indexed citations
12.
Li, John T.. (2018). On the advancement of highly cited research in China: An analysis of the Highly Cited database. PLoS ONE. 13(4). e0196341–e0196341. 8 indexed citations
13.
Li, John T., et al.. (2018). TP53 mutations as potential prognostic markers for specific cancers: analysis of data from The Cancer Genome Atlas and the International Agency for Research on Cancer TP53 Database. Journal of Cancer Research and Clinical Oncology. 145(3). 625–636. 72 indexed citations
14.
Su, George, Amha Atakilit, John T. Li, et al.. (2013). Effective Treatment of Mouse Sepsis With an Inhibitory Antibody Targeting Integrin αvβ5*. Critical Care Medicine. 41(2). 546–553. 28 indexed citations
15.
Kudo, Makoto, Andrew C. Melton, Chun Chen, et al.. (2012). IL-17A produced by αβ T cells drives airway hyper-responsiveness in mice and enhances mouse and human airway smooth muscle contraction. Nature Medicine. 18(4). 547–554. 365 indexed citations
16.
Su, George, Amha Atakilit, John T. Li, et al.. (2011). Absence of Integrin αvβ3 Enhances Vascular Leak in Mice by Inhibiting Endothelial Cortical Actin Formation. American Journal of Respiratory and Critical Care Medicine. 185(1). 58–66. 72 indexed citations
17.
Taylor, Emma, John T. Li, Joan C. Tupper, et al.. (2007). GEA 3162, a peroxynitrite donor, induces Bcl-2-sensitive, p53-independent apoptosis in murine bone marrow cells. Biochemical Pharmacology. 74(7). 1039–1049. 11 indexed citations
18.
19.
Li, Changgong, Lingyan Hu, Jing Xiao, et al.. (2005). Wnt5a regulates Shh and Fgf10 signaling during lung development. Developmental Biology. 287(1). 86–97. 136 indexed citations
20.
Rangan, Cyrus, et al.. (2005). POTENTIAL BROMIDE TOXICITY ASSOCIATED WITH MYASTHENIA GRAVIS TREATMENT IN A 22 MONTH OLD CHILD. CHEST Journal. 128(4). 452S–452S. 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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