Vicky Cho

1.8k total citations
10 papers, 753 citations indexed

About

Vicky Cho is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Vicky Cho has authored 10 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Immunology. Recurrent topics in Vicky Cho's work include Genomics and Rare Diseases (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Genomics and Phylogenetic Studies (3 papers). Vicky Cho is often cited by papers focused on Genomics and Rare Diseases (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Genomics and Phylogenetic Studies (3 papers). Vicky Cho collaborates with scholars based in Australia, Singapore and United States. Vicky Cho's co-authors include Christopher C. Goodnow, T. Daniel Andrews, Edward M. Bertram, Anselm Enders, S.M.T. Chan, Andy Hee‐Meng Tan, Arleen Sanny, Yan Mei, Matthew A. Field and Yafei Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Vicky Cho

10 papers receiving 751 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vicky Cho Australia	8	515	172	145	88	74	10	753
Gloria Arriagada Chile	14	417 0.8×	139 0.8×	87 0.6×	76 0.9×	38 0.5×	38	776
Yutaka Kawaguchi Japan	18	525 1.0×	199 1.2×	130 0.9×	52 0.6×	99 1.3×	132	1.1k
Li Deng China	17	714 1.4×	102 0.6×	57 0.4×	173 2.0×	225 3.0×	35	1.1k
Natasha Jansz Australia	9	514 1.0×	170 1.0×	112 0.8×	86 1.0×	104 1.4×	13	763
Huiming Liu China	15	160 0.3×	242 1.4×	97 0.7×	64 0.7×	157 2.1×	43	632
Hong Chang China	20	593 1.2×	300 1.7×	89 0.6×	306 3.5×	53 0.7×	85	1.2k
Yufang Liu China	13	394 0.8×	120 0.7×	58 0.4×	191 2.2×	29 0.4×	48	654
Pengfei Liu China	14	453 0.9×	471 2.7×	127 0.9×	70 0.8×	216 2.9×	47	878
Yong Woo United States	14	628 1.2×	215 1.3×	56 0.4×	101 1.1×	177 2.4×	16	917
Marco Di Dario Italy	18	388 0.8×	209 1.2×	91 0.6×	57 0.6×	313 4.2×	30	1.0k

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-authorship network of co-authors of Vicky Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Vicky Cho. A scholar is included among the top collaborators of Vicky Cho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vicky Cho. Vicky Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Chuah, Aaron, et al.. (2025). Functionally constrained human proteins are less prone to mutational instability from single amino acid substitutions. Nature Communications. 16(1). 2492–2492. 2 indexed citations

Miosge, Lisa A., Hye Sun Kuehn, Vicky Cho, et al.. (2021). A Point Mutation in IKAROS ZF1 Causes a B Cell Deficiency in Mice. The Journal of Immunology. 206(7). 1505–1514. 3 indexed citations

Kayagaki, Nobuhiko, Bettina L. Lee, Irma B. Stowe, et al.. (2019). IRF2 transcriptionally induces GSDMD expression for pyroptosis. Science Signaling. 12(582). 131 indexed citations

Alshekaili, Jalila, et al.. (2017). Agammaglobulinaemia despite terminal B‐cell differentiation in a patient with a novel LRBA mutation. Clinical & Translational Immunology. 6(5). e144–e144. 13 indexed citations

Liang, Rong, Thomas Ohnesorg, Vicky Cho, et al.. (2016). Heterogeneity of Human Neutrophil CD177 Expression Results from CD177P1 Pseudogene Conversion. PLoS Genetics. 12(5). e1006067–e1006067. 33 indexed citations

Field, Matthew A., Vicky Cho, T. Daniel Andrews, & Christopher C. Goodnow. (2015). Reliably Detecting Clinically Important Variants Requires Both Combined Variant Calls and Optimized Filtering Strategies. PLoS ONE. 10(11). e0143199–e0143199. 25 indexed citations

Field, Matthew A., Vicky Cho, Matthew Cook, et al.. (2015). Reducing the search space for causal genetic variants with VASP. Bioinformatics. 31(14). 2377–2379. 9 indexed citations

Miosge, Lisa A., Matthew A. Field, Yovina Sontani, et al.. (2015). Comparison of predicted and actual consequences of missense mutations. Proceedings of the National Academy of Sciences. 112(37). E5189–98. 163 indexed citations

Cho, Vicky, Yan Mei, Arleen Sanny, et al.. (2014). The RNA-binding protein hnRNPLL induces a T cell alternative splicing program delineated by differential intron retention in polyadenylated RNA. Genome biology. 15(1). R26–R26. 317 indexed citations

10.

Hurley, Daniel, Hiromitsu Araki, Yoshinori Tamada, et al.. (2011). Gene network inference and visualization tools for biologists: application to new human transcriptome datasets. Nucleic Acids Research. 40(6). 2377–2398. 57 indexed citations

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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