Dinghao Chen
Impact in
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- Supramolecular Self-Assembly in Materials
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
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- Supramolecular Self-Assembly in Materials 5
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- Antimicrobial Peptides and Activities 5
- Co-authors
- Huaimin Wang (10 shared papers)Ruiqian Wang (2 shared papers)Yibin Ying (2 shared papers)Lijuan Xie (2 shared papers)Weilu Gao (2 shared papers)Yu Fang (3 shared papers)Hongyue Zhang (2 shared papers)Tengyan Xu (3 shared papers)
- Journals
- Nature Communications (2 papers)Science Advances (2 papers)Journal of the American Chemical Society (2 papers)Microchemical Journal (1 paper)Energy & Environmental Science (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Dinghao Chen
17 papers receiving 369 citations
Dinghao Chen's Hit Papers
Peers
Comparison fields: 5 of 69
- Biomaterials 82
- Microbiology 35
- Water Science and Technology 41
- Biomedical Engineering 127
- Molecular Medicine 13
Countries citing papers authored by Dinghao Chen
This map shows the geographic impact of Dinghao Chen'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 Dinghao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinghao Chen more than expected).
Fields of papers citing papers by Dinghao Chen
This network shows the impact of papers produced by Dinghao Chen. 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 Dinghao Chen. The network helps show where Dinghao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dinghao Chen, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 86 | |
| 2 | 2020 | 76 | |
| 3 | 2020 | 62 | |
| 4 | De novo design of self-assembling peptides with antimicrobial activity guided by deep learning Hit paper breakdown → | 2025 | 39 |
| 5 | 2024 | 26 | |
| 6 | 2021 | 23 | |
| 7 | 2024 | 17 | |
| 8 | 2025 | 12 | |
| 9 | 2025 | 8 | |
| 10 | 2024 | 6 | |
| 11 | 2025 | 4 | |
| 12 | 2019 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2026 | 0 | |
| 19 | 2026 | 0 | |
| 20 | 2026 | 0 |
About Dinghao Chen
Dinghao Chen is a scholar working on Biomaterials, Microbiology, Electrical and Electronic Engineering, Biomedical Engineering and Surgery, having authored 21 papers that have together received 370 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (5 papers), Supramolecular Self-Assembly in Materials (5 papers), Advanced battery technologies research (3 papers), Immune cells in cancer (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Neonatal Respiratory Health Research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Membrane Separation Technologies (1 paper). The work is most often cited by research in Biomaterials (82 citations), Microbiology (35 citations), Water Science and Technology (41 citations), Biomedical Engineering (127 citations) and Molecular Medicine (13 citations). Dinghao Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Huaimin Wang, Ruiqian Wang, Yibin Ying, Lijuan Xie, Weilu Gao, Yu Fang, Hongyue Zhang, Tengyan Xu, Qi Wang and Bihan Wu. Their work appears in journals such as Nature Communications, Science Advances, Journal of the American Chemical Society, Microchemical Journal and Energy & Environmental Science.
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.