Jonathan C. Su
Impact in
- Biomaterials top 10%
- Silk-based biomaterials and applications
- Supramolecular Self-Assembly in Materials
- Electrospun Nanofibers in Biomedical Applications
- Computer Science Applications top 10%
- Teaching and Learning Programming
Papers in
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- RNA Research and Splicing 2
- Protein purification and stability 1
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- Teaching and Learning Programming 3
- Open Education and E-Learning 2
- Co-authors
- Ashutosh Chilkoti (3 shared papers)Anastasia K. Varanko (2 shared papers)Susan H. Rodger (3 shared papers)Ashutosh Chilkoti (2 shared papers)Eric Wiebe (2 shared papers)Yifan Dai (2 shared papers)Dongheon Lee (1 shared paper)Xiangze Zeng (1 shared paper)
- Journals
- Nature Communications (1 paper)Annual Review of Biomedical Engineering (1 paper)Nature Chemical Biology (1 paper)Advanced Science (1 paper)Nature Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan C. Su
9 papers receiving 418 citations
Jonathan C. Su's Hit Papers
Peers
Comparison fields: 5 of 83
- Biomaterials 125
- Computer Science Applications 45
- Software 22
- Molecular Medicine 18
- Surfaces, Coatings and Films 26
Countries citing papers authored by Jonathan C. Su
This map shows the geographic impact of Jonathan C. Su'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 Jonathan C. Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan C. Su more than expected).
Fields of papers citing papers by Jonathan C. Su
This network shows the impact of papers produced by Jonathan C. Su. 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 Jonathan C. Su. The network helps show where Jonathan C. Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan C. Su, 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 | 226 | |
| 2 | Programmable synthetic biomolecular condensates for cellular control Hit paper breakdown → | 2023 | 101 |
| 3 | 2009 | 33 | |
| 4 | 2009 | 22 | |
| 5 | 2024 | 22 | |
| 6 | 2025 | 18 | |
| 7 | 2025 | 4 | |
| 8 | 2011 | 4 | |
| 9 | 2019 | 1 |
About Jonathan C. Su
Jonathan C. Su is a scholar working on Molecular Biology, Computer Science Applications, Software, Genetics and Surgery, having authored 9 papers that have together received 431 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (3 papers), Teaching and Learning Programming (3 papers), RNA Research and Splicing (2 papers), Open Education and E-Learning (2 papers), Connective tissue disorders research (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Protein purification and stability (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Biomaterials (125 citations), Computer Science Applications (45 citations), Software (22 citations), Molecular Medicine (18 citations) and Surfaces, Coatings and Films (26 citations). Jonathan C. Su has collaborated with scholars based in United States. Frequent co-authors include Ashutosh Chilkoti, Anastasia K. Varanko, Susan H. Rodger, Ashutosh Chilkoti, Eric Wiebe, Yifan Dai, Dongheon Lee, Xiangze Zeng, Rohit V. Pappu and Javid P. Mohammed. Their work appears in journals such as Nature Communications, Annual Review of Biomedical Engineering, Nature Chemical Biology, Advanced Science and Nature Chemistry.
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.