Xin Yi Choo

1.8k total citations · 1 hit paper
8 papers, 645 citations indexed

About

Xin Yi Choo is a scholar working on Neurology, Molecular Biology and Physiology. According to data from OpenAlex, Xin Yi Choo has authored 8 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Xin Yi Choo's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (3 papers) and Single-cell and spatial transcriptomics (2 papers). Xin Yi Choo is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (3 papers) and Single-cell and spatial transcriptomics (2 papers). Xin Yi Choo collaborates with scholars based in Australia, Singapore and Finland. Xin Yi Choo's co-authors include Alexandra Grubman, José M. Polo, Owen J. L. Rackham, Enrico Petretto, Ryan Lister, Dulce B. Vargas-Landín, Rebecca K. Simmons, Gabriel Chew, Daniel Poppe and Sam Buckberry and has published in prestigious journals such as Nature Neuroscience, International Journal of Molecular Sciences and Alzheimer s & Dementia.

In The Last Decade

Xin Yi Choo

8 papers receiving 638 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation

2019 555 citations Alexandra Grubman, Gabriel Chew et al. Nature Neuroscience profile →

Peers

Xin Yi Choo

NEURO

MB

PHYSI

IMMUN

CMN

Gabriel Chew Singapore

Rea Pihlaja Finland

Shun‐Fat Lau Hong Kong

Selina Imboywa United States

Iryna Voytyuk United Kingdom

Stephanie Ziegler‐Waldkirch Germany

Nelli Blank Germany

Monika Plescher Germany

Jennifer N. Jernberg United States

Jamie Rose United Kingdom

Gabriel Chew Singapore

Xin Yi Choo

335 ×1.0

NEURO

331 ×1.0

MB

242 ×0.9

PHYSI

101 ×1.1

IMMUN

81 ×1.0

CMN

Citations per year, relative to Xin Yi Choo Xin Yi Choo (= 1×) peers Gabriel Chew

Countries citing papers authored by Xin Yi Choo

Since Specialization

Citations

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

Fields of papers citing papers by Xin Yi Choo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin Yi 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 Xin Yi Choo. The network helps show where Xin Yi Choo may publish in the future.

Co-authorship network of co-authors of Xin Yi Choo

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Yi Choo. A scholar is included among the top collaborators of Xin Yi 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 Xin Yi Choo. Xin Yi 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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8 of 8 papers shown

1.

Scoyni, Flavia, Luca Giudice, Paula Korhonen, et al.. (2023). Alzheimer's disease‐induced phagocytic microglia express a specific profile of coding and non‐coding RNAs. Alzheimer s & Dementia. 20(2). 954–974. 10 indexed citations

2.

Choo, Xin Yi, et al.. (2023). Midbrain organoids—development and applications in Parkinson’s disease. PubMed. 2. kvad009–kvad009. 7 indexed citations

3.

Choo, Xin Yi, Lachlan E. McInnes, Alexandra Grubman, et al.. (2022). Novel Anti-Neuroinflammatory Properties of a Thiosemicarbazone–Pyridylhydrazone Copper(II) Complex. International Journal of Molecular Sciences. 23(18). 10722–10722. 15 indexed citations

4.

Choo, Xin Yi, et al.. (2021). Caecal bascule – A variant of caecal volvulus: Review of diagnostic challenges and approaches. The Surgeon. 20(5). e262–e265. 2 indexed citations

5.

Choo, Xin Yi, Karl Tryggvason, Alfred Xuyang Sun, et al.. (2021). Evaluating Capture Sequence Performance for Single-Cell CRISPR Activation Experiments. ACS Synthetic Biology. 10(3). 640–645. 4 indexed citations

6.

Grubman, Alexandra, Gabriel Chew, Guizhi Sun, et al.. (2021). A single-cell atlas of entorhinal cortex from individuals with Alzheimer's disease reveals cell-type-specific gene expression regulation. UWA Profiles and Research Repository (University of Western Australia). 1 indexed citations

7.

Grubman, Alexandra, Gabriel Chew, John F. Ouyang, et al.. (2019). A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nature Neuroscience. 22(12). 2087–2097. 555 indexed citations breakdown →

8.

Choo, Xin Yi, et al.. (2013). Neuroinflammation and Copper in Alzheimer’s Disease. International Journal of Alzheimer s Disease. 2013. 1–12. 51 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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