Zi-Ning Choo

1.0k total citations
7 papers, 195 citations indexed

About

Zi-Ning Choo is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Zi-Ning Choo has authored 7 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Epidemiology. Recurrent topics in Zi-Ning Choo's work include Cancer Genomics and Diagnostics (3 papers), Single-cell and spatial transcriptomics (2 papers) and RNA regulation and disease (2 papers). Zi-Ning Choo is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Single-cell and spatial transcriptomics (2 papers) and RNA regulation and disease (2 papers). Zi-Ning Choo collaborates with scholars based in United States, South Africa and Canada. Zi-Ning Choo's co-authors include Folker Meyer, Daina L. Ringus, Sarah M. Owens, Maureen L. Coleman, Eugene B. Chang, Ryan J. Williams, Adina Howe, Ronan Chaligné, Roshan Sharma and Sitara Persad and has published in prestigious journals such as Nature Communications, Nature Genetics and Blood.

In The Last Decade

Zi-Ning Choo

7 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zi-Ning Choo United States	4	160	40	29	28	16	7	195
Matthew Hirano United States	3	179 1.1×	50 1.3×	18 0.6×	17 0.6×	14 0.9×	4	228
Rick Farouni United States	9	189 1.2×	15 0.4×	15 0.5×	15 0.5×	8 0.5×	10	229
Kimberley A. Lewis United States	5	140 0.9×	12 0.3×	16 0.6×	9 0.3×	8 0.5×	7	180
Jason Yeung United States	11	69 0.4×	11 0.3×	57 2.0×	10 0.4×	11 0.7×	23	202
Dominic O’Neil Germany	7	150 0.9×	11 0.3×	16 0.6×	29 1.0×	2 0.1×	11	214
Yalbi Itzel Balderas-Martínez Mexico	10	193 1.2×	30 0.8×	11 0.4×	21 0.8×	2 0.1×	22	318
Michael A. Durney United States	7	220 1.4×	36 0.9×	22 0.8×	13 0.5×	2 0.1×	9	273
Samantha L. Schuster United States	7	176 1.1×	14 0.3×	50 1.7×	34 1.2×	3 0.2×	7	284
Clare Pritchard United Kingdom	7	364 2.3×	24 0.6×	51 1.8×	5 0.2×	3 0.2×	14	410
Teia Noel United States	5	111 0.7×	6 0.1×	15 0.5×	11 0.4×	12 0.8×	6	147

Countries citing papers authored by Zi-Ning Choo

Since Specialization

Citations

This map shows the geographic impact of Zi-Ning Choo'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 Zi-Ning Choo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zi-Ning Choo more than expected).

Fields of papers citing papers by Zi-Ning Choo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zi-Ning Choo. 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 Zi-Ning Choo. The network helps show where Zi-Ning Choo may publish in the future.

Co-authorship network of co-authors of Zi-Ning Choo

This figure shows the co-authorship network connecting the top 25 collaborators of Zi-Ning Choo. A scholar is included among the top collaborators of Zi-Ning Choo 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 Zi-Ning Choo. Zi-Ning Choo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Choo, Zi-Ning, Julie M. Behr, Aditya Deshpande, et al.. (2023). Most large structural variants in cancer genomes can be detected without long reads. Nature Genetics. 55(12). 2139–2148. 16 indexed citations

2.

Diaz, Michael J., Jasmine T. Tran, Zi-Ning Choo, et al.. (2023). Genomic subtypes of cutaneous melanoma have distinct metabolic profiles: A single-cell transcriptomic analysis. Archives of Dermatological Research. 315(10). 2961–2965. 1 indexed citations

3.

Choo, Zi-Ning, et al.. (2023). Google Trends analysis of teledermatology interest in the United States during the COVID-19 pandemic. JAAD International. 12. 171–173. 1 indexed citations

4.

Persad, Sitara, Zi-Ning Choo, Noor Sohail, et al.. (2023). SEACells infers transcriptional and epigenomic cellular states from single-cell genomics data. Nature Biotechnology. 41(12). 1746–1757. 66 indexed citations

5.

Nguyen, Diu, Yuheng Lu, Xuejing Yang, et al.. (2020). HyperTRIBE uncovers increased MUSASHI-2 RNA binding activity and differential regulation in leukemic stem cells. Nature Communications. 11(1). 2026–2026. 36 indexed citations

6.

Nguyen, Diu, Yuheng Lu, Zi-Ning Choo, et al.. (2018). The RNA Binding Protein MSI2 Has Increased RNA Binding Activity in Leukemic Stem Cells Compared to Normal Hematopoietic Stem Cells. Blood. 132(Supplement 1). 884–884. 1 indexed citations

7.

Howe, Adina, Daina L. Ringus, Ryan J. Williams, et al.. (2015). Divergent responses of viral and bacterial communities in the gut microbiome to dietary disturbances in mice. The ISME Journal. 10(5). 1217–1227. 74 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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