Lu Gan
- Biomaterials top 0.5%
- Nanoparticle-Based Drug Delivery 24
- Cancer Research top 1%
- MicroRNA in disease regulation 10
- Cancer, Hypoxia, and Metabolism 9
- Biomedical Engineering top 1%
- Nanoplatforms for cancer theranostics 36
- Molecular Biology top 2%
- Extracellular vesicles in disease 18
- RNA Interference and Gene Delivery 15
- Immunology top 5%
- Immunotherapy and Immune Responses 9
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- Cancer Immunotherapy and Biomarkers 8
- Co-authors
- Xiangliang YangTuying YongNana BieXiaoqiong ZhangZhaohan WeiGuiting ZhanZhizhen YeHaiping He
- Journals
- ACS Applied Materials & Interfaces (7 papers)Theranostics (5 papers)Advanced Science (5 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Lu Gan
173 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Biomaterials 1.3k
- Cancer Research 1.2k
- Biomedical Engineering 2.4k
- Molecular Biology 3.3k
- Immunology 853
Countries citing papers authored by Lu Gan
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
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
The 25 scholars most cited alongside Lu Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 26 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 12 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 70 | |
| 11 | 2023 | 37 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 2 | |
| 15 | Boosting anti-PD-1 therapy with metformin-loaded macrophage-derived microparticlesbreakdown → | 2021 | 271 |
| 16 | 2021 | 104 | |
| 17 | 2019 | 32 | |
| 18 | 2019 | 189 | |
| 19 | 2018 | 18 | |
| 20 | 2018 | 52 |
About Lu Gan
Lu Gan is a scholar working on Biomaterials, Cancer Research and Biomedical Engineering, having authored 182 papers that have together received 7.0k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (36 papers), Nanoparticle-Based Drug Delivery (24 papers), Extracellular vesicles in disease (18 papers), RNA Interference and Gene Delivery (15 papers), MicroRNA in disease regulation (10 papers), Cancer, Hypoxia, and Metabolism (9 papers), Immunotherapy and Immune Responses (9 papers) and Cancer Immunotherapy and Biomarkers (8 papers). The work is most often cited by research in Biomaterials (1.3k citations), Cancer Research (1.2k citations) and Biomedical Engineering (2.4k citations). Lu Gan has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Xiangliang Yang, Tuying Yong, Nana Bie, Xiaoqiong Zhang, Zhaohan Wei, Guiting Zhan, Zhizhen Ye, Haiping He, Jun Hu and Abdul Hakeem. Their work appears in journals such as ACS Applied Materials & Interfaces, Theranostics, Advanced Science, Chemical Engineering Journal and Nature Communications.
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.