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 13
- Nanoparticle-Based Drug Delivery 7
- 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)Yue Gao (9 shared papers)
- Journals
- Acta Pharmaceutica Sinica B (5 papers)International Journal of Nanomedicine (4 papers)Journal of Pharmaceutical Analysis (4 papers)Journal of Controlled Release (3 papers)Frontiers in Immunology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Ye
65 papers receiving 1.8k citations
Jun Ye's Hit Papers
Peers
Comparison fields: 5 of 126
- Pharmaceutical Science 157
- Biomaterials 245
- Cancer Research 202
- Immunology 233
- Pharmacology 180
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 | 249 |
| 2 | 2017 | 181 | |
| 3 | 2016 | 95 | |
| 4 | 2017 | 95 | |
| 5 | 2019 | 76 | |
| 6 | 2024 | 70 | |
| 7 | 2019 | 67 | |
| 8 | 2019 | 64 | |
| 9 | 2017 | 57 | |
| 10 | 2016 | 57 | |
| 11 | 2012 | 55 | |
| 12 | 2019 | 50 | |
| 13 | 2023 | 48 | |
| 14 | 2018 | 43 | |
| 15 | 2022 | 39 | |
| 16 | 2021 | 38 | |
| 17 | 2016 | 36 | |
| 18 | 2020 | 31 | |
| 19 | 2016 | 30 | |
| 20 | 2018 | 30 |
About Jun Ye
Jun Ye is a scholar working on Molecular Biology, Biomaterials, Biomedical Engineering, Genetics and Immunology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (7 papers), Nanoplatforms for cancer theranostics (7 papers), Immune cells in cancer (6 papers), RNA Interference and Gene Delivery (5 papers), Immunotherapy and Immune Responses (5 papers), Cancer, Lipids, and Metabolism (5 papers), Flavonoids in Medical Research (4 papers) and Inflammatory Bowel Disease (4 papers). The work is most often cited by research in Pharmaceutical Science (157 citations), Biomaterials (245 citations), Cancer Research (202 citations), Immunology (233 citations) and Pharmacology (180 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, Yue Gao, Hongliang Wang and Peiwei Li. Their work appears in journals such as Acta Pharmaceutica Sinica B, International Journal of Nanomedicine, Journal of Pharmaceutical Analysis, Journal of Controlled Release and Frontiers in Immunology.
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.