Drew Vecchio
Impact in
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
Papers in
-
- Luminescence Properties of Advanced Materials 2
- Machine Learning in Materials Science 2
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- Gas Sensing Nanomaterials and Sensors 3
- Co-authors
- Nicholas A. Kotov (13 shared papers)Liangfang Zhang (1 shared paper)Jingying Zhu (1 shared paper)Weiwei Gao (1 shared paper)Jieming Li (1 shared paper)Jiayang Li (1 shared paper)Victoria Fu (1 shared paper)Qiangzhe Zhang (1 shared paper)
- Journals
- Advanced Materials (4 papers)ACS Nano (3 papers)Science Robotics (1 paper)Journal of the American Chemical Society (1 paper)MRS Bulletin (1 paper)
- Partner nations
- United StatesChinaKenya
In The Last Decade
Drew Vecchio
12 papers receiving 687 citations
Peers
Comparison fields: 5 of 97
- Biomaterials 197
- Molecular Medicine 52
- Pharmaceutical Science 49
- Electronic, Optical and Magnetic Materials 125
- Materials Chemistry 245
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 | 256 | |
| 2 | 2014 | 216 | |
| 3 | 2020 | 101 | |
| 4 | 2021 | 48 | |
| 5 | 2021 | 28 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 13 | |
| 8 | 2023 | 7 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 1 | |
| 11 | Emergence of complexity inhierarchically organized chiral particles | 2020 | 1 |
| 12 | 2022 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2022 | 0 |
About Drew Vecchio
Drew Vecchio is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Astronomy and Astrophysics, Biomaterials and Polymers and Plastics, having authored 15 papers that have together received 694 indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (3 papers), Origins and Evolution of Life (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Conducting polymers and applications (3 papers), Plant and Biological Electrophysiology Studies (2 papers), Cephalopods and Marine Biology (2 papers), Luminescence Properties of Advanced Materials (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Biomaterials (197 citations), Molecular Medicine (52 citations), Pharmaceutical Science (49 citations), Electronic, Optical and Magnetic Materials (125 citations) and Materials Chemistry (245 citations). Drew Vecchio has collaborated with scholars based in United States, China and Kenya. Frequent co-authors include Nicholas A. Kotov, Liangfang Zhang, Jingying Zhu, Weiwei Gao, Jieming Li, Jiayang Li, Victoria Fu, Qiangzhe Zhang, Soracha Thamphiwatana and Diannan Lu. Their work appears in journals such as Advanced Materials, ACS Nano, Science Robotics, Journal of the American Chemical Society and MRS Bulletin.
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.