Vicky Cho
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
- Molecular Biology top 10%
- Inflammasome and immune disorders
- Heme Oxygenase-1 and Carbon Monoxide
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
- Genetics 6
- Genomics and Rare Diseases 3
- Evolution and Genetic Dynamics 2
- Blood disorders and treatments 2
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- Immunodeficiency and Autoimmune Disorders 3
- Immune Response and Inflammation 2
- Co-authors
- T. Daniel Andrews (8 shared papers)Christopher Carl Goodnow (7 shared papers)Edward M. Bertram (3 shared papers)Anselm Enders (4 shared papers)Yan Mei (2 shared papers)S.M.T. Chan (1 shared paper)Arleen Sanny (1 shared paper)Andy Hee‐Meng Tan (1 shared paper)
- Journals
- The Journal of Immunology (1 paper)Nucleic Acids Research (1 paper)Genome biology (1 paper)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- AustraliaUnited StatesSingapore
In The Last Decade
Vicky Cho
11 papers receiving 1.4k citations
Vicky Cho's Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 346
- Molecular Biology 953
- Nephrology 95
- Cancer Research 101
- Genetics 171
Countries citing papers authored by Vicky Cho
This map shows the geographic impact of Vicky Cho'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 Vicky Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicky Cho more than expected).
Fields of papers citing papers by Vicky Cho
This network shows the impact of papers produced by Vicky Cho. 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 Vicky Cho. The network helps show where Vicky Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Vicky Cho, 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 | NINJ1 mediates plasma membrane rupture during lytic cell death Hit paper breakdown → | 2021 | 604 |
| 2 | 2014 | 331 | |
| 3 | 2015 | 177 | |
| 4 | 2019 | 147 | |
| 5 | 2011 | 65 | |
| 6 | 2015 | 36 | |
| 7 | 2016 | 35 | |
| 8 | 2017 | 17 | |
| 9 | 2015 | 10 | |
| 10 | 2021 | 3 | |
| 11 | 2025 | 3 |
About Vicky Cho
Vicky Cho is a scholar working on Genetics, Immunology, Molecular Biology, Cancer Research and Endocrinology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (3 papers), Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Genomics and Phylogenetic Studies (2 papers), Evolution and Genetic Dynamics (2 papers), Immune Response and Inflammation (2 papers), Blood disorders and treatments (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Immunology (346 citations), Molecular Biology (953 citations), Nephrology (95 citations), Cancer Research (101 citations) and Genetics (171 citations). Vicky Cho has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include T. Daniel Andrews, Christopher Carl Goodnow, Edward M. Bertram, Anselm Enders, Yan Mei, S.M.T. Chan, Arleen Sanny, Andy Hee‐Meng Tan, Matthew A. Field and Yafei Zhang. Their work appears in journals such as The Journal of Immunology, Nucleic Acids Research, Genome biology, Nature and Proceedings of the National Academy of Sciences.
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.