Clara Park
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Block Copolymer Self-Assembly 5
-
- Soft Robotics and Applications 3
- Co-authors
- Darrell J. Irvine (3 shared papers)Debra Van Egeren (3 shared papers)Gregory L. Szeto (3 shared papers)Haipeng Liu (1 shared paper)Yiran Zheng (1 shared paper)Kelly D. Moynihan (1 shared paper)Bonnie Huang (1 shared paper)Edwin L. Thomas (4 shared papers)
- Journals
- Advanced Materials (6 papers)Scientific Reports (1 paper)Neurochemical Research (1 paper)Nature (1 paper)Journal of Adhesion Science and Technology (1 paper)
- Partner nations
- United StatesSouth KoreaSpain
In The Last Decade
Clara Park
21 papers receiving 1.3k citations
Clara Park's Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 531
- Biomaterials 131
- Oncology 272
- Biomedical Engineering 371
- Surfaces, Coatings and Films 51
Countries citing papers authored by Clara Park
This map shows the geographic impact of Clara Park'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 Clara Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Park more than expected).
Fields of papers citing papers by Clara Park
This network shows the impact of papers produced by Clara Park. 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 Clara Park. The network helps show where Clara Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Clara Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structure-based programming of lymph-node targeting in molecular vaccines Hit paper breakdown → | 2014 | 780 |
| 2 | 2015 | 79 | |
| 3 | 2017 | 78 | |
| 4 | 2008 | 65 | |
| 5 | 2005 | 62 | |
| 6 | 2006 | 54 | |
| 7 | 2020 | 39 | |
| 8 | 2001 | 36 | |
| 9 | 2000 | 28 | |
| 10 | 2023 | 22 | |
| 11 | 2007 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2022 | 12 | |
| 16 | 1987 | 12 | |
| 17 | 2024 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2015 | 2 | |
| 20 | 2024 | 1 |
About Clara Park
Clara Park is a scholar working on Materials Chemistry, Biomedical Engineering, Organic Chemistry, Surgery and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (5 papers), Polymer Surface Interaction Studies (4 papers), Immunotherapy and Immune Responses (3 papers), Soft Robotics and Applications (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Aortic Disease and Treatment Approaches (3 papers), CAR-T cell therapy research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (531 citations), Biomaterials (131 citations), Oncology (272 citations), Biomedical Engineering (371 citations) and Surfaces, Coatings and Films (51 citations). Clara Park has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Darrell J. Irvine, Debra Van Egeren, Gregory L. Szeto, Haipeng Liu, Yiran Zheng, Kelly D. Moynihan, Bonnie Huang, Edwin L. Thomas, Ellen T. Roche and June Huh. Their work appears in journals such as Advanced Materials, Scientific Reports, Neurochemical Research, Nature and Journal of Adhesion Science and Technology.
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.