Susan Ou
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Genetics top 10%
- Virus-based gene therapy research
- Animal Genetics and Reproduction
Papers in
-
- CRISPR and Genetic Engineering 2
- Protein purification and stability 2
- Viral Infectious Diseases and Gene Expression in Insects 2
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Paul H. Patterson (6 shared papers)Jan Ko (4 shared papers)Ellen G. Strauss (1 shared paper)Richard Kühn (1 shared paper)J H Strauss (1 shared paper)Pamela J. Björkman (3 shared papers)Priyanthi N.P. Gnanapragasam (2 shared papers)Alexander A. Cohen (2 shared papers)
- Journals
- Journal of Immunological Methods (3 papers)Science (2 papers)Journal of Virology (2 papers)Scientific Reports (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Susan Ou
14 papers receiving 1.1k citations
Susan Ou's Hit Papers
Peers
Comparison fields: 5 of 80
- Infectious Diseases 246
- Genetics 312
- Molecular Biology 659
- Cellular and Molecular Neuroscience 170
- Animal Science and Zoology 90
Countries citing papers authored by Susan Ou
This map shows the geographic impact of Susan Ou'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 Susan Ou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Ou more than expected).
Fields of papers citing papers by Susan Ou
This network shows the impact of papers produced by Susan Ou. 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 Susan Ou. The network helps show where Susan Ou may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan Ou, 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 | 1992 | 289 | |
| 2 | Mosaic nanoparticles elicit cross-reactive immune responses to zoonotic coronaviruses in mice Hit paper breakdown → | 2021 | 209 |
| 3 | 1989 | 154 | |
| 4 | 2001 | 149 | |
| 5 | 2007 | 94 | |
| 6 | 1989 | 46 | |
| 7 | 2021 | 44 | |
| 8 | 1993 | 35 | |
| 9 | 2014 | 28 | |
| 10 | 1991 | 27 | |
| 11 | 1999 | 13 | |
| 12 | 2009 | 13 | |
| 13 | 2021 | 6 | |
| 14 | 2013 | 2 |
About Susan Ou
Susan Ou is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Computational Drug Discovery Methods (2 papers), CRISPR and Genetic Engineering (2 papers), Genetic Neurodegenerative Diseases (2 papers), Protein purification and stability (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Animal Genetics and Reproduction (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (246 citations), Genetics (312 citations), Molecular Biology (659 citations), Cellular and Molecular Neuroscience (170 citations) and Animal Science and Zoology (90 citations). Susan Ou has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Paul H. Patterson, Jan Ko, Ellen G. Strauss, Richard Kühn, J H Strauss, Pamela J. Björkman, Priyanthi N.P. Gnanapragasam, Alexander A. Cohen, Christopher O. Barnes and Leesa M. Kakutani. Their work appears in journals such as Journal of Immunological Methods, Science, Journal of Virology, Scientific Reports and Biochemistry.
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.