Pi Ding
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics
- Microfluidic and Bio-sensing Technologies
Papers in
-
- Advanced biosensing and bioanalysis techniques 16
- DNA and Nucleic Acid Chemistry 9
- RNA Interference and Gene Delivery 5
-
- 3D Printing in Biomedical Research 6
- Microfluidic and Bio-sensing Technologies 5
- Co-authors
- Renjun Pei (34 shared papers)Zhili Wang (20 shared papers)Na Sun (13 shared papers)Zeen Wu (9 shared papers)Jine Wang (4 shared papers)Xue Cai (2 shared papers)Wenjing Li (7 shared papers)Yuewu Zhao (2 shared papers)
- Journals
- ACS Applied Materials & Interfaces (4 papers)Colloids and Surfaces B Biointerfaces (3 papers)Chemistry - A European Journal (3 papers)ACS Applied Bio Materials (2 papers)Journal of Materials Chemistry B (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Pi Ding
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Biomaterials 186
- Biomedical Engineering 603
- Oncology 214
- Molecular Biology 437
- Cancer Research 82
Countries citing papers authored by Pi Ding
This map shows the geographic impact of Pi Ding'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 Pi Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pi Ding more than expected).
Fields of papers citing papers by Pi Ding
This network shows the impact of papers produced by Pi Ding. 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 Pi Ding. The network helps show where Pi Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Pi Ding, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 133 | |
| 2 | 2019 | 82 | |
| 3 | 2016 | 73 | |
| 4 | 2021 | 57 | |
| 5 | 2020 | 52 | |
| 6 | 2022 | 51 | |
| 7 | 2022 | 49 | |
| 8 | 2020 | 49 | |
| 9 | 2021 | 42 | |
| 10 | 2020 | 41 | |
| 11 | 2021 | 40 | |
| 12 | 2020 | 36 | |
| 13 | 2020 | 33 | |
| 14 | 2020 | 29 | |
| 15 | 2018 | 27 | |
| 16 | 2019 | 26 | |
| 17 | 2019 | 25 | |
| 18 | 2023 | 23 | |
| 19 | 2022 | 21 | |
| 20 | 2021 | 21 |
About Pi Ding
Pi Ding is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Biomaterials and Cancer Research, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), Cancer Cells and Metastasis (12 papers), DNA and Nucleic Acid Chemistry (9 papers), Cancer Genomics and Diagnostics (6 papers), 3D Printing in Biomedical Research (6 papers), Microfluidic and Bio-sensing Technologies (5 papers), RNA Interference and Gene Delivery (5 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). The work is most often cited by research in Biomaterials (186 citations), Biomedical Engineering (603 citations), Oncology (214 citations), Molecular Biology (437 citations) and Cancer Research (82 citations). Pi Ding has collaborated with scholars based in China, United States and France. Frequent co-authors include Renjun Pei, Zhili Wang, Na Sun, Zeen Wu, Jine Wang, Xue Cai, Wenjing Li, Yuewu Zhao, Tian Gao and Yu Luo. Their work appears in journals such as ACS Applied Materials & Interfaces, Colloids and Surfaces B Biointerfaces, Chemistry - A European Journal, ACS Applied Bio Materials and Journal of Materials Chemistry B.
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.