Julia D. Cushen
Impact in
- Surfaces, Coatings and Films top 2%
- Polymer Surface Interaction Studies
- Organic Chemistry top 5%
- Advanced Polymer Synthesis and Characterization
Papers in
-
- Block Copolymer Self-Assembly 10
- Machine Learning in Materials Science 3
-
- Advanced Polymer Synthesis and Characterization 5
- Co-authors
- Christopher J. Ellison (12 shared papers)C. Grant Willson (11 shared papers)Christopher M. Bates (7 shared papers)Leon M. Dean (5 shared papers)Michael J. Maher (5 shared papers)Gregory Blachut (3 shared papers)William J. Durand (4 shared papers)Takehiro Seshimo (2 shared papers)
- Journals
- Journal of Photopolymer Science and Technology (3 papers)Macromolecules (2 papers)ACS Nano (2 papers)ACS Macro Letters (2 papers)Chemistry of Materials (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Julia D. Cushen
14 papers receiving 997 citations
Peers
Comparison fields: 5 of 35
- Surfaces, Coatings and Films 221
- Organic Chemistry 547
- Materials Chemistry 867
- Fluid Flow and Transfer Processes 62
- Polymers and Plastics 102
Countries citing papers authored by Julia D. Cushen
This map shows the geographic impact of Julia D. Cushen'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 Julia D. Cushen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia D. Cushen more than expected).
Fields of papers citing papers by Julia D. Cushen
This network shows the impact of papers produced by Julia D. Cushen. 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 Julia D. Cushen. The network helps show where Julia D. Cushen may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia D. Cushen, 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 | 2012 | 344 | |
| 2 | 2012 | 194 | |
| 3 | 2012 | 117 | |
| 4 | 2014 | 99 | |
| 5 | 2015 | 58 | |
| 6 | 2013 | 56 | |
| 7 | 2012 | 55 | |
| 8 | 2013 | 27 | |
| 9 | 2017 | 17 | |
| 10 | 2012 | 14 | |
| 11 | 2014 | 9 | |
| 12 | 2013 | 4 | |
| 13 | 2013 | 4 | |
| 14 | 2010 | 4 |
About Julia D. Cushen
Julia D. Cushen is a scholar working on Materials Chemistry, Organic Chemistry, Electrical and Electronic Engineering, Surfaces, Coatings and Films and Molecular Biology, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (10 papers), Advanced Polymer Synthesis and Characterization (5 papers), Machine Learning in Materials Science (3 papers), Advancements in Photolithography Techniques (2 papers), Organic Electronics and Photovoltaics (2 papers), Polymer Surface Interaction Studies (2 papers), Electrowetting and Microfluidic Technologies (1 paper) and Fluid Dynamics and Thin Films (1 paper). The work is most often cited by research in Surfaces, Coatings and Films (221 citations), Organic Chemistry (547 citations), Materials Chemistry (867 citations), Fluid Flow and Transfer Processes (62 citations) and Polymers and Plastics (102 citations). Julia D. Cushen has collaborated with scholars based in United States and France. Frequent co-authors include Christopher J. Ellison, C. Grant Willson, Christopher M. Bates, Leon M. Dean, Michael J. Maher, Gregory Blachut, William J. Durand, Takehiro Seshimo, Sunshine X. Zhou and Sami Halila. Their work appears in journals such as Journal of Photopolymer Science and Technology, Macromolecules, ACS Nano, ACS Macro Letters and Chemistry of Materials.
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.