Brian Minevich
Impact in
- Structural Biology top 10%
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
Papers in
-
- Advanced biosensing and bioanalysis techniques 15
- RNA Interference and Gene Delivery 4
-
- Supramolecular Self-Assembly in Materials 4
- Co-authors
- Oleg Gang (15 shared papers)Sanat K. Kumar (4 shared papers)Jason S. Kahn (5 shared papers)Yan Xiong (3 shared papers)Aaron Noam Michelson (6 shared papers)Ye Tian (2 shared papers)Hamed Emamy (4 shared papers)Julien Lhermitte (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)ACS Nano (2 papers)Nature Communications (2 papers)Nature Materials (2 papers)Science (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Brian Minevich
15 papers receiving 594 citations
Peers
Comparison fields: 5 of 57
- Structural Biology 15
- Biomaterials 111
- Molecular Biology 408
- Surfaces, Coatings and Films 43
- Electronic, Optical and Magnetic Materials 111
Countries citing papers authored by Brian Minevich
This map shows the geographic impact of Brian Minevich'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 Brian Minevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Minevich more than expected).
Fields of papers citing papers by Brian Minevich
This network shows the impact of papers produced by Brian Minevich. 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 Brian Minevich. The network helps show where Brian Minevich may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Minevich, 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 | 248 | |
| 2 | 2022 | 77 | |
| 3 | 2020 | 73 | |
| 4 | 2020 | 58 | |
| 5 | 2021 | 49 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 22 | |
| 8 | 2020 | 20 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2025 | 13 | |
| 12 | 2021 | 11 | |
| 13 | 2025 | 8 | |
| 14 | 2020 | 3 | |
| 15 | 2025 | 2 |
About Brian Minevich
Brian Minevich is a scholar working on Molecular Biology, Biomaterials, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials and Ecology, having authored 15 papers that have together received 635 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (15 papers), RNA Interference and Gene Delivery (4 papers), Supramolecular Self-Assembly in Materials (4 papers), Modular Robots and Swarm Intelligence (3 papers), Bacteriophages and microbial interactions (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Polymer Surface Interaction Studies (3 papers) and Nanocluster Synthesis and Applications (2 papers). The work is most often cited by research in Structural Biology (15 citations), Biomaterials (111 citations), Molecular Biology (408 citations), Surfaces, Coatings and Films (43 citations) and Electronic, Optical and Magnetic Materials (111 citations). Brian Minevich has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Oleg Gang, Sanat K. Kumar, Jason S. Kahn, Yan Xiong, Aaron Noam Michelson, Ye Tian, Hamed Emamy, Julien Lhermitte, Masafumi Fukuto and Lin Bai. Their work appears in journals such as Journal of the American Chemical Society, ACS Nano, Nature Communications, Nature Materials and 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.