Ye Gan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 2
- Ginseng Biological Effects and Applications 1
- Extracellular vesicles in disease 1
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- Nanoparticle-Based Drug Delivery 2
- Co-authors
- Hongyan Zhu (4 shared papers)Lanlan Shao (3 shared papers)Chunyan Gu (1 shared paper)Hongwei Chen (1 shared paper)Hongwei Guo (2 shared papers)Dan‐Yi Wei (1 shared paper)Yanjun Liu (1 shared paper)Yanyan Yu (1 shared paper)
- Journals
- Pharmaceutics (1 paper)ACS Applied Materials & Interfaces (1 paper)Journal of Controlled Release (1 paper)Pharmaceutical Development and Technology (1 paper)PubMed (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ye Gan
7 papers receiving 419 citations
Ye Gan's Hit Papers
Peers
Comparison fields: 5 of 61
- Cancer Research 166
- Biomaterials 68
- Molecular Biology 327
- Biomedical Engineering 119
- Immunology 36
Countries citing papers authored by Ye Gan
This map shows the geographic impact of Ye 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 Ye Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Gan more than expected).
Fields of papers citing papers by Ye Gan
This network shows the impact of papers produced by Ye 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 Ye Gan. The network helps show where Ye Gan may publish in the future.
Co-authors
The 15 scholars most cited alongside Ye 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 | Exosome-mediated siRNA delivery to suppress postoperative breast cancer metastasis Hit paper breakdown → | 2019 | 355 |
| 2 | 2020 | 23 | |
| 3 | 2018 | 17 | |
| 4 | 2019 | 15 | |
| 5 | 2019 | 5 | |
| 6 | Mechanism of Ginsenoside Rb1 Against Myocardial Apoptosis during Ischemia-reperfusion Injury in Diabetic Rats | 2012 | 4 |
| 7 | Functional evaluation of mutations in the tissue-nonspecific alkaline phosphatase gene. | 2012 | 3 |
About Ye Gan
Ye Gan is a scholar working on Molecular Biology, Biomaterials, Biomedical Engineering, Nephrology and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 422 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Nanoplatforms for cancer theranostics (2 papers), Ginseng Biological Effects and Applications (1 paper), Extracellular vesicles in disease (1 paper), MicroRNA in disease regulation (1 paper) and Lipid metabolism and disorders (1 paper). The work is most often cited by research in Cancer Research (166 citations), Biomaterials (68 citations), Molecular Biology (327 citations), Biomedical Engineering (119 citations) and Immunology (36 citations). Ye Gan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongyan Zhu, Lanlan Shao, Chunyan Gu, Hongwei Chen, Hongwei Guo, Dan‐Yi Wei, Yanjun Liu, Yanyan Yu, Yueqing Gu and Tianqing Liu. Their work appears in journals such as Pharmaceutics, ACS Applied Materials & Interfaces, Journal of Controlled Release, Pharmaceutical Development and Technology and PubMed.
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.