Jun Ye
Impact in
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- RNA Interference and Gene Delivery 5
- Biomaterials 14
- Nanoparticle-Based Drug Delivery 8
- Co-authors
- Yuling Liu (10 shared papers)Hengfeng Liao (7 shared papers)Yanfang Yang (26 shared papers)Lili Gao (9 shared papers)Wujun Dong (14 shared papers)Xuejun Xia (16 shared papers)Yuling Liu (13 shared papers)Peiwei Li (3 shared papers)
- Journals
- Acta Pharmaceutica Sinica B (5 papers)Journal of Pharmaceutical Analysis (4 papers)International Journal of Nanomedicine (4 papers)Frontiers in Immunology (3 papers)Journal of Controlled Release (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Ye
61 papers receiving 1.7k citations
Jun Ye's Hit Papers
Peers
Comparison fields: 5 of 125
- Pharmaceutical Science 161
- Biomaterials 238
- Cancer Research 231
- Immunology 255
- Pharmacology 186
Countries citing papers authored by Jun Ye
This map shows the geographic impact of Jun Ye'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 Jun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ye more than expected).
Fields of papers citing papers by Jun Ye
This network shows the impact of papers produced by Jun Ye. 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 Jun Ye. The network helps show where Jun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ye, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The main bioactive compounds of Scutellaria baicalensis Georgi. for alleviation of inflammatory cytokines: A comprehensive review Hit paper breakdown → | 2020 | 226 |
| 2 | 2017 | 169 | |
| 3 | 2017 | 93 | |
| 4 | 2016 | 87 | |
| 5 | 2019 | 72 | |
| 6 | 2019 | 66 | |
| 7 | 2016 | 57 | |
| 8 | 2024 | 57 | |
| 9 | 2019 | 55 | |
| 10 | 2017 | 52 | |
| 11 | 2012 | 50 | |
| 12 | 2019 | 43 | |
| 13 | 2022 | 37 | |
| 14 | 2018 | 37 | |
| 15 | 2023 | 35 | |
| 16 | 2016 | 33 | |
| 17 | 2021 | 33 | |
| 18 | 2016 | 30 | |
| 19 | 2020 | 30 | |
| 20 | 2018 | 27 |
About Jun Ye
Jun Ye is a scholar working on Molecular Biology, Biomaterials, Immunology, Cancer Research and Biomedical Engineering, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (8 papers), Nanoplatforms for cancer theranostics (8 papers), Immunotherapy and Immune Responses (7 papers), Immune cells in cancer (7 papers), Cancer, Lipids, and Metabolism (6 papers), Advancements in Transdermal Drug Delivery (5 papers), Flavonoids in Medical Research (5 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Pharmaceutical Science (161 citations), Biomaterials (238 citations), Cancer Research (231 citations), Immunology (255 citations) and Pharmacology (186 citations). Jun Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuling Liu, Hengfeng Liao, Yanfang Yang, Lili Gao, Wujun Dong, Xuejun Xia, Yuling Liu, Peiwei Li, Chunpeng Zhu and Hongliang Wang. Their work appears in journals such as Acta Pharmaceutica Sinica B, Journal of Pharmaceutical Analysis, International Journal of Nanomedicine, Frontiers in Immunology and Journal of Controlled Release.
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.