Yanping Ding
Impact in
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- Oncology top 2%
- CAR-T cell therapy research
Papers in ⓘ
- Biomaterials 13
- Nanoparticle-Based Drug Delivery 12
- Co-authors
- Guangjun Nie (23 shared papers)Yoshimasa Tanaka (4 shared papers)Wen Zhang (3 shared papers)Tianjiao Ji (12 shared papers)Ying Zhao (11 shared papers)Yinlong Zhang (10 shared papers)Nan Song (8 shared papers)Xiao Zhao (7 shared papers)
- Journals
- ACS Nano (3 papers)Biomaterials (3 papers)Clinical Cancer Research (2 papers)Molecular Therapy — Oncolytics (2 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yanping Ding
73 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Biomaterials 1.0k
- Oncology 1.1k
- Biomedical Engineering 1.6k
- Immunology 774
- Cancer Research 541
Countries citing papers authored by Yanping Ding
This map shows the geographic impact of Yanping 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 Yanping Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanping Ding more than expected).
Fields of papers citing papers by Yanping Ding
This network shows the impact of papers produced by Yanping 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 Yanping Ding. The network helps show where Yanping Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanping 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Risk Factors Contributing to Type 2 Diabetes and Recent Advances in the Treatment and Prevention Hit paper breakdown → | 2014 | 837 |
| 2 | Field-Free Isolation of Exosomes from Extracellular Vesicles by Microfluidic Viscoelastic Flows Hit paper breakdown → | 2017 | 412 |
| 3 | 2018 | 284 | |
| 4 | 2015 | 185 | |
| 5 | 2009 | 181 | |
| 6 | 2011 | 172 | |
| 7 | 2015 | 169 | |
| 8 | 2013 | 164 | |
| 9 | 2017 | 147 | |
| 10 | 2019 | 139 | |
| 11 | 2018 | 132 | |
| 12 | 2016 | 126 | |
| 13 | 2015 | 124 | |
| 14 | 2019 | 117 | |
| 15 | 2014 | 114 | |
| 16 | 2016 | 100 | |
| 17 | 2009 | 97 | |
| 18 | 2012 | 95 | |
| 19 | 2016 | 86 | |
| 20 | 2015 | 84 |
About Yanping Ding
Yanping Ding is a scholar working on Biomaterials, General Engineering, Oncology, Immunology and Renewable Energy, Sustainability and the Environment, having authored 74 papers that have together received 4.7k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (14 papers), Nanoparticle-Based Drug Delivery (12 papers), CAR-T cell therapy research (10 papers), Electrocatalysts for Energy Conversion (8 papers), Angiogenesis and VEGF in Cancer (7 papers), Immunotherapy and Immune Responses (5 papers), RNA Interference and Gene Delivery (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Biomaterials (1.0k citations), Oncology (1.1k citations), Biomedical Engineering (1.6k citations), Immunology (774 citations) and Cancer Research (541 citations). Yanping Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guangjun Nie, Yoshimasa Tanaka, Wen Zhang, Tianjiao Ji, Ying Zhao, Yinlong Zhang, Nan Song, Xiao Zhao, Ruifang Zhao and Yujie Huang. Their work appears in journals such as ACS Nano, Biomaterials, Clinical Cancer Research, Molecular Therapy — Oncolytics and Cancer Research.
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.