Andrew S. Utada
- Biomedical Engineering top 0.2%
- Electrical and Electronic Engineering top 2%
- Materials Chemistry top 2%
- Computational Mechanics top 1%
- Molecular Biology top 10%
- Co-authors
- David A. WeitzHoward A. StoneAlberto Fernández‐NievesDarren R. LinkÉlise LorenceauPeter D. KaplanRhutesh K. ShahJinwoong Kim
- Topics
- Innovative Microfluidic and Catalytic Techniques Innovation (18 papers)Bacterial biofilms and quorum sensing (9 papers)Pickering emulsions and particle stabilization (8 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Andrew S. Utada
35 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Biomedical Engineering 4.9k
- Electrical and Electronic Engineering 2.4k
- Materials Chemistry 2.1k
- Computational Mechanics 837
- Molecular Biology 813
Countries citing papers authored by Andrew S. Utada
This map shows the geographic impact of Andrew S. Utada'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 Andrew S. Utada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew S. Utada more than expected).
Fields of papers citing papers by Andrew S. Utada
This network shows the impact of papers produced by Andrew S. Utada. 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 Andrew S. Utada. The network helps show where Andrew S. Utada may publish in the future.
Co-authorship network of co-authors of Andrew S. Utada
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew S. Utada. A scholar is included among the top collaborators of Andrew S. Utada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew S. Utada. Andrew S. Utada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 37 | |
| 8 | 13 | |
| 9 | 307 | |
| 10 | 95 | |
| 11 | 134 | |
| 12 | 84 | |
| 13 | 98 | |
| 14 | 154 | |
| 15 | 267 | |
| 16 | 234 | |
| 17 | Dripping to Jetting Transitions in Coflowing Liquid Streamsbreakdown → | 751 |
| 18 | Controllable Monodisperse Multiple Emulsionsbreakdown → | 625 |
| 19 | 190 | |
| 20 | 140 |
About Andrew S. Utada
Andrew S. Utada is a scholar working on Endocrinology, Biomedical Engineering and Pollution, having authored 35 papers that have together received 7.0k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (18 papers), Bacterial biofilms and quorum sensing (9 papers) and Pickering emulsions and particle stabilization (8 papers). The work is most often cited by research in Biomedical Engineering (4.9k citations), Surfaces, Coatings and Films (417 citations) and Endocrinology (280 citations). Andrew S. Utada has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include David A. Weitz, Howard A. Stone, Alberto Fernández‐Nieves, Darren R. Link, Élise Lorenceau, Peter D. Kaplan, Rhutesh K. Shah, Jinwoong Kim, Liang‐Yin Chu and Jin Woong Kim. Their work appears in journals such as Science, Journal of the American Chemical Society and Physical Review Letters.
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.