Feng Ding
- Biomaterials top 0.5%
- Supramolecular Self-Assembly in Materials 27
- Nanoparticle-Based Drug Delivery 19
- Physiology top 0.5%
- Alzheimer's disease research and treatments 73
- Molecular Biology top 0.5%
- Protein Structure and Dynamics 69
- RNA and protein synthesis mechanisms 21
- RNA Research and Splicing 15
- Materials Chemistry top 2%
- Enzyme Structure and Function 34
- Spectroscopy top 1%
- Aerogels and thermal insulation 15
- Co-authors
- Nikolay V. DokholyanPu Chun KeThomas P. DavisYunxiang SunAleksandr KäkinenPradeep KotaSrinivas RamachandranH. Eugene Stanley
- Journals
- Journal of Chemical Information and Modeling (19 papers)Biophysical Journal (13 papers)Small (10 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Feng Ding
245 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Biomaterials 1.5k
- Physiology 2.5k
- Molecular Biology 6.2k
- Materials Chemistry 2.6k
- Spectroscopy 726
Countries citing papers authored by Feng Ding
This map shows the geographic impact of Feng 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 Feng Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ding more than expected).
Fields of papers citing papers by Feng Ding
This network shows the impact of papers produced by Feng 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 Feng Ding. The network helps show where Feng Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 12 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 11 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 18 | |
| 10 | 2023 | 25 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 25 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 31 | |
| 15 | 2017 | 33 | |
| 16 | 2017 | 52 | |
| 17 | 2017 | 22 | |
| 18 | 2017 | 27 | |
| 19 | 2006 | 23 | |
| 20 | 2006 | 70 |
About Feng Ding
Feng Ding is a scholar working on Biomaterials, Physiology, Molecular Biology, Surfaces, Coatings and Films and Materials Chemistry, having authored 255 papers that have together received 10.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (73 papers), Protein Structure and Dynamics (69 papers), Enzyme Structure and Function (34 papers), Supramolecular Self-Assembly in Materials (27 papers), RNA and protein synthesis mechanisms (21 papers), Nanoparticle-Based Drug Delivery (19 papers), Aerogels and thermal insulation (15 papers) and RNA Research and Splicing (15 papers). The work is most often cited by research in Biomaterials (1.5k citations), Physiology (2.5k citations), Molecular Biology (6.2k citations), Materials Chemistry (2.6k citations) and Spectroscopy (726 citations). Feng Ding has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Nikolay V. Dokholyan, Pu Chun Ke, Thomas P. Davis, Yunxiang Sun, Aleksandr Käkinen, Pradeep Kota, Srinivas Ramachandran, H. Eugene Stanley, Sergey V. Buldyrev and Shantanu Sharma. Their work appears in journals such as Journal of Chemical Information and Modeling, Biophysical Journal, Small, Nanoscale and Physical Chemistry Chemical Physics.
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.