Ping Song
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
Papers in
-
- RNA Interference and Gene Delivery 13
- Insect Resistance and Genetics 8
- Natural product bioactivities and synthesis 7
-
- Nanoplatforms for cancer theranostics 7
- Co-authors
- Su Golder (1 shared paper)Paul Wilson (1 shared paper)Xingguo Li (6 shared papers)Jie Zheng (5 shared papers)Yubin Li (14 shared papers)Dianwen Ju (14 shared papers)Jiajun Fan (13 shared papers)Shaofei Wang (10 shared papers)
- Journals
- International Journal of Nanomedicine (5 papers)Frontiers in Pharmacology (5 papers)Oncotarget (4 papers)Cell Death and Disease (3 papers)Molecules (3 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Ping Song
155 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 176
- Biomaterials 361
- Molecular Biology 1.7k
- Cancer Research 318
- Electronic, Optical and Magnetic Materials 408
- Immunology 372
Countries citing papers authored by Ping Song
This map shows the geographic impact of Ping Song'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 Ping Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Song more than expected).
Fields of papers citing papers by Ping Song
This network shows the impact of papers produced by Ping Song. 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 Ping Song. The network helps show where Ping Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Song, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 428 | |
| 2 | 2011 | 219 | |
| 3 | 2017 | 176 | |
| 4 | 2015 | 140 | |
| 5 | 2017 | 136 | |
| 6 | 2020 | 131 | |
| 7 | 2017 | 108 | |
| 8 | 2011 | 100 | |
| 9 | 2012 | 97 | |
| 10 | 2015 | 96 | |
| 11 | 2017 | 92 | |
| 12 | 2014 | 90 | |
| 13 | 2015 | 87 | |
| 14 | 2015 | 78 | |
| 15 | 2018 | 74 | |
| 16 | 2021 | 73 | |
| 17 | 2015 | 70 | |
| 18 | 2012 | 66 | |
| 19 | 2012 | 64 | |
| 20 | 2013 | 62 |
About Ping Song
Ping Song is a scholar working on Molecular Biology, Biomedical Engineering, Epidemiology, Materials Chemistry and Immunology, having authored 161 papers that have together received 4.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (13 papers), Autophagy in Disease and Therapy (13 papers), Liquid Crystal Research Advancements (9 papers), Insect Resistance and Genetics (8 papers), Nanoplatforms for cancer theranostics (7 papers), Natural product bioactivities and synthesis (7 papers), Insect and Pesticide Research (6 papers) and Entomopathogenic Microorganisms in Pest Control (6 papers). The work is most often cited by research in Biomaterials (361 citations), Molecular Biology (1.7k citations), Cancer Research (318 citations), Electronic, Optical and Magnetic Materials (408 citations) and Immunology (372 citations). Ping Song has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Su Golder, Paul Wilson, Xingguo Li, Jie Zheng, Yubin Li, Dianwen Ju, Jiajun Fan, Shaofei Wang, Xian Zeng and Lili Feng. Their work appears in journals such as International Journal of Nanomedicine, Frontiers in Pharmacology, Oncotarget, Cell Death and Disease and Molecules.
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.