Katherine Sytwu
- Materials Chemistry
- Electronic, Optical and Magnetic Materials
- Renewable Energy, Sustainability and the Environment top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Jennifer A. DionneMichal VadaiFariah HayeeDaniel K. AngellJefferson DixonAlan DaiMary ScottRobert Sinclair
- Topics
- Machine Learning in Materials Science (5 papers)Electron and X-Ray Spectroscopy Techniques (4 papers)Advanced Electron Microscopy Techniques and Applications (4 papers)
- Cited by
- Structural BiologyElectronic, Optical and Magnetic MaterialsRenewable Energy, Sustainability and the Environment
- Partner nations
- United StatesVietnamSouth Korea
In The Last Decade
Katherine Sytwu
11 papers receiving 379 citations
Peers
Comparison fields: 5 of 53
- Materials Chemistry 251
- Electronic, Optical and Magnetic Materials 165
- Renewable Energy, Sustainability and the Environment 136
- Biomedical Engineering 81
- Electrical and Electronic Engineering 54
Countries citing papers authored by Katherine Sytwu
This map shows the geographic impact of Katherine Sytwu'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 Katherine Sytwu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Sytwu more than expected).
Fields of papers citing papers by Katherine Sytwu
This network shows the impact of papers produced by Katherine Sytwu. 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 Katherine Sytwu. The network helps show where Katherine Sytwu may publish in the future.
Co-authorship network of co-authors of Katherine Sytwu
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Sytwu. A scholar is included among the top collaborators of Katherine Sytwu 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 Katherine Sytwu. Katherine Sytwu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 70 | |
| 9 | 116 | |
| 10 | 108 | |
| 11 | 37 | |
| 12 | 10 |
About Katherine Sytwu
Katherine Sytwu is a scholar working on Structural Biology, Surfaces, Coatings and Films and Biophysics, having authored 12 papers that have together received 384 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Electron and X-Ray Spectroscopy Techniques (4 papers) and Advanced Electron Microscopy Techniques and Applications (4 papers). The work is most often cited by research in Structural Biology (24 citations), Electronic, Optical and Magnetic Materials (165 citations) and Renewable Energy, Sustainability and the Environment (136 citations). Katherine Sytwu has collaborated with scholars based in United States, Vietnam and South Korea. Frequent co-authors include Jennifer A. Dionne, Michal Vadai, Fariah Hayee, Daniel K. Angell, Jefferson Dixon, Alan Dai, Mary Scott, Robert Sinclair, Tarun C. Narayan and Ai Leen Koh. Their work appears in journals such as Science, Nature Communications and Nano 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.