Ji Li

8.0k total citations · 1 hit paper
233 papers, 5.7k citations indexed

About

Ji Li is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Ji Li has authored 233 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 46 papers in Biomedical Engineering and 40 papers in Oncology. Recurrent topics in Ji Li's work include Nanoplatforms for cancer theranostics (22 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Nanoparticle-Based Drug Delivery (13 papers). Ji Li is often cited by papers focused on Nanoplatforms for cancer theranostics (22 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Nanoparticle-Based Drug Delivery (13 papers). Ji Li collaborates with scholars based in China, United States and Australia. Ji Li's co-authors include Lin Leng, Courtney McDonald, Richard Bucala, Brian David Dynlacht, Toshiya Atsumi, Edward J. Miller, Tetsuo Kobayashi, Lawrence H. Young, Dongkai Wang and Warren Knudson and has published in prestigious journals such as Nature, Cell and Journal of the American Chemical Society.

In The Last Decade

Ji Li

213 papers receiving 5.7k citations

Hit Papers

CD44 Is the Signaling Com... 2006 2026 2012 2019 2006 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ji Li 2.1k 1.4k 890 785 485 233 5.7k
Gopal C. Kundu 3.6k 1.7× 877 0.6× 1.5k 1.7× 623 0.8× 530 1.1× 134 7.3k
Vladimir Trajković 2.3k 1.1× 1.3k 0.9× 796 0.9× 1.6k 2.1× 202 0.4× 182 8.0k
Michael V. Berridge 3.3k 1.6× 625 0.4× 707 0.8× 575 0.7× 303 0.6× 124 7.4k
Robert Damoiseaux 2.9k 1.4× 1.2k 0.9× 1.5k 1.7× 1.2k 1.5× 250 0.5× 147 8.1k
Qing Miao 2.9k 1.4× 689 0.5× 611 0.7× 600 0.8× 192 0.4× 203 6.5k
Chao Yu 3.4k 1.6× 1.0k 0.7× 621 0.7× 913 1.2× 149 0.3× 199 6.3k
Shin‐ichi Tsunoda 2.0k 1.0× 952 0.7× 572 0.6× 717 0.9× 243 0.5× 194 4.9k
Teruna J. Siahaan 2.8k 1.3× 1.1k 0.8× 841 0.9× 634 0.8× 197 0.4× 199 5.8k
Jian Chen 3.5k 1.7× 953 0.7× 535 0.6× 315 0.4× 355 0.7× 329 7.0k
James F. Curtin 2.0k 1.0× 1.0k 0.7× 1.1k 1.2× 874 1.1× 778 1.6× 105 5.8k

Countries citing papers authored by Ji Li

Since Specialization
Citations

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

Fields of papers citing papers by Ji Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Li. A scholar is included among the top collaborators of Ji 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 Ji Li. Ji 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.
Lv, Ying, Xiuzhu Weng, Xinyi Zhang, et al.. (2025). Quercetin alleviates postmenopausal atherosclerosis by suppressing endothelial cell ferroptosis via regulating the KEAP1/NRF2/GPX4 signalling pathway. British Journal of Pharmacology. 183(3). 620–643.
2.
Zhao, Xiaokun, Lei Xia, Weiping Diao, et al.. (2025). Identification of l-ascorbic acid metabolic genes in wild Cucumis species and the key genes involved in high content of AsA in C. hystrix fruits. Scientia Horticulturae. 342. 114015–114015.
3.
Xiong, Yang, et al.. (2025). 1,2,3-Trifunctionalization of α,α-disubstituted vinyl aldehydes with concomitant radical 1,2-migration of formyl group. Organic Chemistry Frontiers. 12(19). 5333–5339.
6.
Chang, Chunyan, Lingling Li, Yating Guo, et al.. (2025). The potential application of digital PCR in detecting different SARS-CoV-2 viral loads. Journal of Virological Methods. 335. 115151–115151.
7.
Liu, Fei, et al.. (2024). Influence of modified polyurea coating thickness on the blast resistance of RC slab. Structures. 67. 107009–107009. 4 indexed citations
8.
Li, Longbin, Weixin Li, Ji Li, et al.. (2024). Foaming and emulsification synergies in skin mild and environmentally friendly detergents based on Gleditsia sinensis saponins. Journal of Molecular Liquids. 417. 126649–126649.
9.
Mei, Yuxia, Heng Zhang, Ji Li, et al.. (2024). Ameliorative effect of an acidic polysaccharide from Phellinus linteus on ulcerative colitis in a DSS-induced mouse model. International Journal of Biological Macromolecules. 265(Pt 1). 130959–130959. 21 indexed citations
10.
Weng, Xiuzhu, Xing Luo, Xinyu Dai, et al.. (2023). Apigenin inhibits macrophage pyroptosis through regulation of oxidative stress and the NF‐κB pathway and ameliorates atherosclerosis. Phytotherapy Research. 37(11). 5300–5314. 24 indexed citations
11.
Li, Weixin, Fenglun Zhang, Pengfei Li, et al.. (2023). Performance characterization of water extracts of Camellia oleifera cake/sodium N-lauroylsarcosinate foam detergent with high foamability. Colloids and Surfaces A Physicochemical and Engineering Aspects. 681. 132730–132730. 11 indexed citations
12.
Bao, Xiaoyi, Xing Luo, Xiaoxuan Bai, et al.. (2023). Cigarette tar mediates macrophage ferroptosis in atherosclerosis through the hepcidin/FPN/SLC7A11 signaling pathway. Free Radical Biology and Medicine. 201. 76–88. 52 indexed citations
13.
Jia, Wenxiao, Hongbo Guo, Min Wang, et al.. (2023). High post‐chemotherapy TIL and increased CD4+TIL are independent prognostic factors of surgically resected NSCLC following neoadjuvant chemotherapy. SHILAP Revista de lepidopterología. 4(1). e213–e213. 8 indexed citations
14.
Zhao, Ming, et al.. (2023). Engineering nanoparticles boost TNBC therapy by CD24 blockade and mitochondrial dynamics regulation. Journal of Controlled Release. 355. 211–227. 35 indexed citations
15.
Liu, Tao, et al.. (2023). Epidemiological characteristics and factors influencing hospitalization burden among trauma patients: a retrospective analysis. European Journal of Trauma and Emergency Surgery. 50(2). 425–437. 2 indexed citations
16.
Bidwell, Philip A., Samantha L. Yuen, Ji Li, et al.. (2022). A Large-Scale High-Throughput Screen for Modulators of SERCA Activity. Biomolecules. 12(12). 1789–1789. 13 indexed citations
17.
Li, Ji, Xueli Zheng, Haiyan Fu, et al.. (2021). Catalytic hydrogenation of CO2 with unsymmetric N-heterocyclic carbene–nitrogen–phosphine ruthenium complexes. Catalysis Science & Technology. 11(21). 6965–6969. 8 indexed citations
18.
Li, Ji, et al.. (2019). Ruthenium-catalyzed synthesis of N-substituted lactams by acceptorless dehydrogenative coupling of diols with primary amines. Chemical Communications. 55(82). 12384–12387. 22 indexed citations
19.
Johansson, Anna, Bo He, Karen E. Russell, et al.. (2017). De novo induction of intratumoral lymphoid structures and vessel normalization enhances immunotherapy in resistant tumors. Nature Immunology. 18(11). 1207–1217. 244 indexed citations
20.
Wang, Yin, Bin Zhou, Ji Li, et al.. (2004). Inhibitors of 5-lipoxygenase inhibit expression of intercellular adhesion molecule-1 in human melanoma cells.. PubMed. 25(5). 672–7. 12 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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