Gan Jiang
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Traumatic Brain Injury and Neurovascular Disturbances 6
- Neuroinflammation and Neurodegeneration Mechanisms 5
-
- RNA Interference and Gene Delivery 10
- Extracellular vesicles in disease 8
- Co-authors
- Xiaoling Gao (37 shared papers)Qingxiang Song (29 shared papers)Hong-Zhuan Chen (20 shared papers)Yukun Huang (20 shared papers)Xiao Gu (13 shared papers)Jun Chen (15 shared papers)Yaoxing Chen (11 shared papers)Minjun Xu (6 shared papers)
- Journals
- Advanced Science (5 papers)Advanced Materials (4 papers)Small (3 papers)Journal of Controlled Release (3 papers)Nature Communications (3 papers)
- Partner nations
- ChinaSouth KoreaCanada
In The Last Decade
Gan Jiang
45 papers receiving 1.8k citations
Gan Jiang's Hit Papers
Peers
Comparison fields: 5 of 110
- Biomaterials 319
- Cancer Research 208
- Immunology 301
- Pharmaceutical Science 85
- Neurology 103
Countries citing papers authored by Gan Jiang
This map shows the geographic impact of Gan Jiang'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 Gan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gan Jiang more than expected).
Fields of papers citing papers by Gan Jiang
This network shows the impact of papers produced by Gan Jiang. 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 Gan Jiang. The network helps show where Gan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gan Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 184 | |
| 2 | 2020 | 127 | |
| 3 | 2020 | 124 | |
| 4 | Intranasal drug delivery: The interaction between nanoparticles and the nose-to-brain pathway Hit paper breakdown → | 2024 | 118 |
| 5 | 2018 | 92 | |
| 6 | 2019 | 81 | |
| 7 | 2020 | 79 | |
| 8 | 2017 | 72 | |
| 9 | 2019 | 71 | |
| 10 | 2023 | 68 | |
| 11 | 2020 | 67 | |
| 12 | 2023 | 60 | |
| 13 | 2023 | 58 | |
| 14 | 2020 | 53 | |
| 15 | 2024 | 46 | |
| 16 | 2022 | 45 | |
| 17 | 2023 | 39 | |
| 18 | 2024 | 39 | |
| 19 | 2023 | 38 | |
| 20 | 2019 | 34 |
About Gan Jiang
Gan Jiang is a scholar working on Neurology, Molecular Biology, Neurology, Biomaterials and Cancer Research, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Extracellular vesicles in disease (8 papers), Nanoplatforms for cancer theranostics (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Nanoparticle-Based Drug Delivery (5 papers), Alzheimer's disease research and treatments (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Biomaterials (319 citations), Cancer Research (208 citations), Immunology (301 citations), Pharmaceutical Science (85 citations) and Neurology (103 citations). Gan Jiang has collaborated with scholars based in China, South Korea and Canada. Frequent co-authors include Xiaoling Gao, Qingxiang Song, Hong-Zhuan Chen, Yukun Huang, Xiao Gu, Jun Chen, Yaoxing Chen, Minjun Xu, Jialin Huang and Jiyao Jiang. Their work appears in journals such as Advanced Science, Advanced Materials, Small, Journal of Controlled Release 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.