Lu Gan

8.7k total citations · 4 hit papers
182 papers, 7.0k citations indexed

About

Lu Gan is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Lu Gan has authored 182 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 58 papers in Biomedical Engineering and 30 papers in Materials Chemistry. Recurrent topics in Lu Gan's work include Nanoplatforms for cancer theranostics (36 papers), Nanoparticle-Based Drug Delivery (24 papers) and Extracellular vesicles in disease (18 papers). Lu Gan is often cited by papers focused on Nanoplatforms for cancer theranostics (36 papers), Nanoparticle-Based Drug Delivery (24 papers) and Extracellular vesicles in disease (18 papers). Lu Gan collaborates with scholars based in China, United States and New Zealand. Lu Gan's co-authors include Xiangliang Yang, Tuying Yong, Nana Bie, Xiaoqiong Zhang, Zhaohan Wei, Guiting Zhan, Haiping He, Zhizhen Ye, Jun Hu and Abdul Hakeem and has published in prestigious journals such as Chemical Society Reviews, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Lu Gan

173 papers receiving 6.9k citations

Hit Papers

Tumor exosome-based nanoparticles are efficient drug carr... 2019 2026 2021 2023 2019 2021 2020 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Gan China 47 3.3k 2.4k 1.3k 1.3k 1.2k 182 7.0k
Jingfeng Liu China 47 2.8k 0.8× 3.0k 1.3× 1.4k 1.1× 999 0.8× 1.4k 1.2× 360 8.1k
Jie Chen China 50 3.6k 1.1× 3.2k 1.3× 1.4k 1.1× 1.5k 1.2× 601 0.5× 271 8.3k
Zhe Yang China 44 2.6k 0.8× 2.3k 1.0× 1.1k 0.8× 1.2k 1.0× 976 0.8× 195 6.6k
Zhiyuan Hu China 40 2.6k 0.8× 1.8k 0.8× 1.2k 0.9× 876 0.7× 1.1k 0.9× 280 6.9k
Phei Er Saw China 40 3.0k 0.9× 2.2k 0.9× 1.1k 0.9× 1.3k 1.0× 1.1k 0.9× 126 6.3k
Jianfeng Guo China 48 2.3k 0.7× 1.3k 0.6× 1.1k 0.8× 1.1k 0.9× 820 0.7× 179 6.8k
Tianjiao Ji China 42 3.1k 0.9× 2.7k 1.1× 1.0k 0.8× 1.8k 1.5× 1.1k 0.9× 128 6.7k
Tao Yang China 43 3.1k 0.9× 2.4k 1.0× 1.4k 1.1× 956 0.8× 525 0.4× 161 7.4k
Yongyi Zeng China 40 2.4k 0.7× 2.4k 1.0× 1.5k 1.2× 617 0.5× 805 0.7× 222 6.2k
Suping Li China 35 3.7k 1.1× 2.0k 0.8× 651 0.5× 996 0.8× 1.3k 1.1× 162 6.5k

Countries citing papers authored by Lu Gan

Since Specialization
Citations

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

Fields of papers citing papers by Lu Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Gan. A scholar is included among the top collaborators of Lu Gan 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 Lu Gan. Lu Gan 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.
Zhao, Yang, Man Tian, Xin Tong, et al.. (2025). Emerging strategies in lymph node-targeted nano-delivery systems for tumor immunotherapy. Essays in Biochemistry. 69(2). 2 indexed citations
2.
Gan, Lu, Xiaona Lin, Yichun Zheng, et al.. (2025). Ferroptosis meets cancer immunotherapy: Overcoming the crosstalk challenges through advanced drug delivery strategies. Acta Pharmaceutica Sinica B. 15(12). 6307–6341.
3.
Liu, Haojie, Tuying Yong, Xiaoqiong Zhang, et al.. (2025). Spatial Regulation of Cancer-Associated Fibroblasts and Tumor Cells via pH-Responsive Bispecific Antibody Delivery for Enhanced Chemo-Immunotherapy Synergy. ACS Nano. 19(12). 11756–11773. 4 indexed citations
5.
Yan, Rui, et al.. (2024). Cationic Hyaluronic Acid-Modified Cyclosporin Micelles Used for Ocular Drug Delivery. Indian Journal of Pharmaceutical Sciences. 86(1). 1 indexed citations
6.
Qin, Jiaqi, Jingjie Liu, Zhaohan Wei, et al.. (2024). Targeted intervention in nerve–cancer crosstalk enhances pancreatic cancer chemotherapy. Nature Nanotechnology. 20(2). 311–324. 26 indexed citations
7.
Liu, Dexiang, et al.. (2023). Identification of the SNARE complex that mediates the fusion of multivesicular bodies with the plasma membrane in exosome secretion. Journal of Extracellular Vesicles. 12(9). e12356–e12356. 67 indexed citations
9.
Gan, Lu, et al.. (2022). Glucocorticoids rapidly promote YAP phosphorylation via the cAMP-PKA pathway to repress mouse cardiomyocyte proliferative potential. Molecular and Cellular Endocrinology. 548. 111615–111615. 6 indexed citations
10.
Fan, Man, Yiming Liu, Yanqiao Ren, et al.. (2022). Cascade Reaction of “Mn2+‐Catechol” Triggered by H2O2 to Integrate Firm Tumor Vessel Embolization and Hypoxic Response Relief. Advanced Healthcare Materials. 11(15). e2200544–e2200544. 16 indexed citations
11.
Wang, Gang, Qian Wang, Zheng Zhao, et al.. (2021). Genetic Variants in NPAS2 Gene and Clinical Outcomes of Resectable Non-Small-Cell Lung Cancer. Future Oncology. 17(7). 795–805. 10 indexed citations
12.
Liang, Qingle, Nana Bie, Tuying Yong, et al.. (2021). Author Correction: The softness of tumour-cell-derived microparticles regulates their drug-delivery efficiency. Nature Biomedical Engineering. 5(5). 481–481. 2 indexed citations
13.
Zhong, Liping, Wei Shi, Lu Gan, et al.. (2021). Human endoglin-CD3 bispecific T cell engager antibody induces anti-tumor effect in vivo. Theranostics. 11(13). 6393–6406. 5 indexed citations
14.
Gan, Lu, et al.. (2020). Design of functionalized fluorescent ionic liquid and its application for achieving significant improvements in Al3+ detecting. Green Energy & Environment. 5(2). 195–202. 15 indexed citations
15.
Yong, Tuying, Dongdong Wang, Xin Li, et al.. (2020). Extracellular vesicles for tumor targeting delivery based on five features principle. Journal of Controlled Release. 322. 555–565. 90 indexed citations
16.
Yong, Tuying, Xiaoqiong Zhang, Nana Bie, et al.. (2019). Tumor exosome-based nanoparticles are efficient drug carriers for chemotherapy. Nature Communications. 10(1). 3838–3838. 679 indexed citations breakdown →
17.
Liang, Qingle, Nana Bie, Tuying Yong, et al.. (2019). The softness of tumour-cell-derived microparticles regulates their drug-delivery efficiency. Nature Biomedical Engineering. 3(9). 729–740. 189 indexed citations
18.
Huang, Wei, Hui Hu, Qiong Zhang, et al.. (2019). Regulatory networks in mechanotransduction reveal key genes in promoting cancer cell stemness and proliferation. Oncogene. 38(42). 6818–6834. 32 indexed citations
19.
Gan, Lu, Haiping He, Luwei Sun, & Zhizhen Ye. (2013). Improved photoluminescence and sensing stability of porous silicon nanowires by surface passivation. Physical Chemistry Chemical Physics. 16(3). 890–894. 14 indexed citations
20.
Wang, Zhan, Lu Gan, Wei Nie, & Yan Geng. (2013). The OGG1 Ser326Cys Polymorphism and the Risk of Esophageal Cancer: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 17(10). 780–785. 10 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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