Drew Vecchio
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
Papers in ⓘ
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- Machine Learning in Materials Science 2
- Luminescence Properties of Advanced Materials 2
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- Gas Sensing Nanomaterials and Sensors 3
- Co-authors
- Nicholas A. Kotov (12 shared papers)Jieming Li (1 shared paper)Soracha Thamphiwatana (1 shared paper)Weiwei Gao (1 shared paper)Victoria Fu (1 shared paper)Diannan Lu (1 shared paper)Jingying Zhu (1 shared paper)Liangfang Zhang (1 shared paper)
- Journals
- Advanced Materials (4 papers)ACS Nano (3 papers)Angewandte Chemie International Edition (1 paper)Journal of the American Chemical Society (1 paper)Science Robotics (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Drew Vecchio
12 papers receiving 650 citations
Peers
Comparison fields: 5 of 98
- Biomaterials 188
- Molecular Medicine 45
- Pharmaceutical Science 45
- Electronic, Optical and Magnetic Materials 125
- Materials Chemistry 240
Countries citing papers authored by Drew Vecchio
This map shows the geographic impact of Drew Vecchio'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 Drew Vecchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drew Vecchio more than expected).
Fields of papers citing papers by Drew Vecchio
This network shows the impact of papers produced by Drew Vecchio. 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 Drew Vecchio. The network helps show where Drew Vecchio may publish in the future.
Co-authors
The 25 scholars most cited alongside Drew Vecchio, 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 | 2020 | 246 | |
| 2 | 2014 | 194 | |
| 3 | 2020 | 99 | |
| 4 | 2021 | 45 | |
| 5 | 2021 | 28 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 13 | |
| 8 | 2023 | 6 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 1 | |
| 11 | Emergence of complexity inhierarchically organized chiral particles | 2020 | 1 |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2022 | 0 |
About Drew Vecchio
Drew Vecchio is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomaterials, Polymers and Plastics and Astronomy and Astrophysics, having authored 14 papers that have together received 656 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (3 papers), Conducting polymers and applications (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Machine Learning in Materials Science (2 papers), Luminescence Properties of Advanced Materials (2 papers), Origins and Evolution of Life (2 papers), Cephalopods and Marine Biology (1 paper) and Iron oxide chemistry and applications (1 paper). The work is most often cited by research in Biomaterials (188 citations), Molecular Medicine (45 citations), Pharmaceutical Science (45 citations), Electronic, Optical and Magnetic Materials (125 citations) and Materials Chemistry (240 citations). Drew Vecchio has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nicholas A. Kotov, Jieming Li, Soracha Thamphiwatana, Weiwei Gao, Victoria Fu, Diannan Lu, Jingying Zhu, Liangfang Zhang, Qiangzhe Zhang and Jiayang Li. Their work appears in journals such as Advanced Materials, ACS Nano, Angewandte Chemie International Edition, Journal of the American Chemical Society and Science Robotics.
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.