Jinlan Jiang
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Hepatology top 5%
Papers in
-
- Extracellular vesicles in disease 12
- RNA Interference and Gene Delivery 10
-
- Nanoplatforms for cancer theranostics 16
- Co-authors
- Bai Yang (12 shared papers)Jing Li (13 shared papers)Xupeng Mu (14 shared papers)Yasuyuki Sakai (7 shared papers)Hao Zhang (13 shared papers)Hua Yao (3 shared papers)Yijia Geng (2 shared papers)Zepeng Huo (2 shared papers)
- Journals
- International Journal of Nanomedicine (12 papers)Stem Cell Research & Therapy (4 papers)Biomaterials Science (4 papers)Plants (3 papers)Journal of Nanobiotechnology (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jinlan Jiang
95 papers receiving 2.9k citations
Jinlan Jiang's Hit Papers
Peers
Comparison fields: 5 of 122
- Biomaterials 539
- Hepatology 162
- Biomedical Engineering 955
- Genetics 154
- Materials Chemistry 726
Countries citing papers authored by Jinlan Jiang
This map shows the geographic impact of Jinlan 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 Jinlan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlan Jiang more than expected).
Fields of papers citing papers by Jinlan Jiang
This network shows the impact of papers produced by Jinlan 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 Jinlan Jiang. The network helps show where Jinlan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinlan 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Red Emissive Carbonized Polymer Dots with Unprecedented Narrow Full Width at Half Maximum Hit paper breakdown → | 2020 | 434 |
| 2 | 2011 | 193 | |
| 3 | 2016 | 155 | |
| 4 | 2020 | 118 | |
| 5 | 2018 | 110 | |
| 6 | 2004 | 97 | |
| 7 | 2018 | 96 | |
| 8 | 2021 | 89 | |
| 9 | 2018 | 80 | |
| 10 | 2018 | 69 | |
| 11 | 2019 | 67 | |
| 12 | 2018 | 61 | |
| 13 | 2020 | 60 | |
| 14 | 2020 | 52 | |
| 15 | 2017 | 50 | |
| 16 | 2002 | 49 | |
| 17 | 2021 | 49 | |
| 18 | 2008 | 43 | |
| 19 | 2021 | 42 | |
| 20 | 2019 | 40 |
About Jinlan Jiang
Jinlan Jiang is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Biomaterials and Genetics, having authored 99 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (16 papers), Extracellular vesicles in disease (12 papers), RNA Interference and Gene Delivery (10 papers), Mesenchymal stem cell research (9 papers), Pancreatic function and diabetes (9 papers), Liver physiology and pathology (7 papers), Nanoparticle-Based Drug Delivery (7 papers) and Carbon and Quantum Dots Applications (6 papers). The work is most often cited by research in Biomaterials (539 citations), Hepatology (162 citations), Biomedical Engineering (955 citations), Genetics (154 citations) and Materials Chemistry (726 citations). Jinlan Jiang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Bai Yang, Jing Li, Xupeng Mu, Yasuyuki Sakai, Hao Zhang, Hua Yao, Yijia Geng, Zepeng Huo, Junjun Liu and Daowei Li. Their work appears in journals such as International Journal of Nanomedicine, Stem Cell Research & Therapy, Biomaterials Science, Plants and Journal of Nanobiotechnology.
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.