Ding‐Kun Ji
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 10%
- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
Papers in
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- Nanoplatforms for cancer theranostics 19
- Graphene and Nanomaterials Applications 10
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- Advanced biosensing and bioanalysis techniques 13
- RNA Interference and Gene Delivery 5
- Co-authors
- Alberto Bianco (12 shared papers)Xiao‐Peng He (9 shared papers)Cécilia Ménard‐Moyon (6 shared papers)He Tian (3 shared papers)Jia Li (4 shared papers)Shi Guo (5 shared papers)Yi Zang (4 shared papers)Guo‐Rong Chen (3 shared papers)
In The Last Decade
Ding‐Kun Ji
42 papers receiving 921 citations
Peers
Comparison fields: 5 of 78
- Biomaterials 138
- Biomedical Engineering 455
- Materials Chemistry 465
- Spectroscopy 86
- Molecular Biology 265
Countries citing papers authored by Ding‐Kun Ji
This map shows the geographic impact of Ding‐Kun Ji'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 Ding‐Kun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding‐Kun Ji more than expected).
Fields of papers citing papers by Ding‐Kun Ji
This network shows the impact of papers produced by Ding‐Kun Ji. 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 Ding‐Kun Ji. The network helps show where Ding‐Kun Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding‐Kun Ji, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 114 | |
| 2 | 2017 | 110 | |
| 3 | 2018 | 72 | |
| 4 | 2022 | 49 | |
| 5 | 2014 | 48 | |
| 6 | 2020 | 43 | |
| 7 | 2020 | 43 | |
| 8 | 2024 | 43 | |
| 9 | 2020 | 43 | |
| 10 | 2015 | 41 | |
| 11 | 2015 | 29 | |
| 12 | 2015 | 24 | |
| 13 | 2021 | 22 | |
| 14 | 2016 | 22 | |
| 15 | 2023 | 21 | |
| 16 | 2023 | 19 | |
| 17 | 2024 | 18 | |
| 18 | 2017 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2021 | 16 |
About Ding‐Kun Ji
Ding‐Kun Ji is a scholar working on Biomedical Engineering, Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 43 papers that have together received 924 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (19 papers), Advanced biosensing and bioanalysis techniques (13 papers), Carbon and Quantum Dots Applications (10 papers), Graphene and Nanomaterials Applications (10 papers), Advanced Nanomaterials in Catalysis (9 papers), RNA Interference and Gene Delivery (5 papers), Electrocatalysts for Energy Conversion (5 papers) and Advanced battery technologies research (4 papers). The work is most often cited by research in Biomaterials (138 citations), Biomedical Engineering (455 citations), Materials Chemistry (465 citations), Spectroscopy (86 citations) and Molecular Biology (265 citations). Ding‐Kun Ji has collaborated with scholars based in China, France and India. Frequent co-authors include Alberto Bianco, Xiao‐Peng He, Cécilia Ménard‐Moyon, He Tian, Jia Li, Shi Guo, Yi Zang, Guo‐Rong Chen, Yue Zhang and Giacomo Reina. Their work appears in journals such as ACS Nano, Pharmaceutics, Journal of Colloid and Interface Science, Small and Carbon.
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.