Vicky Cho

1.8k citations
10 papers · 753 indexed · h-index 8

Impact in

    • Inflammasome and immune disorders
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • RNA modifications and cancer
    • Bioinformatics and Genomic Networks
    • RNA and protein synthesis mechanisms

Papers in

    • Genomics and Rare Diseases 3
    • Blood disorders and treatments 2
    • Evolution and Genetic Dynamics 2
    • Immunodeficiency and Autoimmune Disorders 3
    • Immune Response and Inflammation 2

Vicky Cho

10 papers receiving 751 citations

Peers

Vicky Cho
Comparison fields: 5 of 99
  • Molecular Biology 515
  • Immunology 145
  • Genetics 172
  • Cancer Research 88
  • Nephrology 36
Replace Gloria Arriagada with:
Gloria Arriagada Chile
Marco Di Dario Italy
Zhigang Wang China
Yutaka Kawaguchi Japan
Marta Grzelak United Kingdom
Matthew J. Thomas United States
Qiong Wang China
Huiming Liu China
Dan Sommer United States
Pengfei Liu China
Vicky Cho relative to Gloria Arriagada Chile Gloria Arriagada's profile →
Citations per field
00.5×3.2×
Gloria Arriagada · 1×
Citations per year

Countries citing papers authored by Vicky Cho

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Vicky Cho Line = papers co-authored together Vicky Cho links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2014317
2 2015163
3 2019131
4 201157
5 201633
6 201525
7 201713
8 20159
9 20213
10 20252

About Vicky Cho

Vicky Cho is a scholar working on Genetics, Immunology, Nephrology, Cancer Research and Molecular Biology, having authored 10 papers that have together received 753 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Blood disorders and treatments (2 papers), Immune Response and Inflammation (2 papers), Evolution and Genetic Dynamics (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (515 citations), Immunology (145 citations), Genetics (172 citations), Cancer Research (88 citations) and Nephrology (36 citations). Vicky Cho has collaborated with scholars based in Australia, Singapore and United States. Frequent co-authors include Christopher C. Goodnow, T. Daniel Andrews, Edward M. Bertram, Anselm Enders, Andy Hee‐Meng Tan, Yan Mei, Arleen Sanny, S.M.T. Chan, Matthew A. Field and Yafei Zhang. Their work appears in journals such as The Journal of Immunology, Nature Communications, Bioinformatics, PLoS Genetics and Genome biology.

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.

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