Nigel Chou

610 total citations · 1 hit paper
10 papers, 352 citations indexed

About

Nigel Chou is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nigel Chou has authored 10 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nigel Chou's work include Single-cell and spatial transcriptomics (5 papers), Extracellular vesicles in disease (2 papers) and Cancer-related molecular mechanisms research (2 papers). Nigel Chou is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Extracellular vesicles in disease (2 papers) and Cancer-related molecular mechanisms research (2 papers). Nigel Chou collaborates with scholars based in Singapore, United States and Japan. Nigel Chou's co-authors include Kai‐Hsiang Chuang, Jiarong Wu, Anqi Qiu, Kok Hao Chen, Yun‐Ching Chang, Ziqing Zhao, Wan Yi Seow, Jolene Jie Lin Goh, Vipul Singhal and Jonathan Aow and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Biotechnology.

In The Last Decade

Nigel Chou

9 papers receiving 348 citations

Hit Papers

BANKSY unifies cell typing and tissue domain segmentation... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel Chou Singapore 5 181 61 49 43 41 10 352
Hongcheng Mai China 10 149 0.8× 62 1.0× 74 1.5× 64 1.5× 32 0.8× 21 359
Linjing Fang United States 8 215 1.2× 32 0.5× 81 1.7× 55 1.3× 14 0.3× 10 450
Mita Patel United States 5 351 1.9× 36 0.6× 12 0.2× 31 0.7× 76 1.9× 8 514
Tomáš Vičar Czechia 11 124 0.7× 25 0.4× 127 2.6× 122 2.8× 23 0.6× 34 479
Darla Reed United States 3 251 1.4× 35 0.6× 12 0.2× 31 0.7× 64 1.6× 4 389
Hannah Spitzer Germany 6 385 2.1× 75 1.2× 110 2.2× 33 0.8× 47 1.1× 12 687
Anna H. Klemm Germany 13 367 2.0× 21 0.3× 139 2.8× 65 1.5× 29 0.7× 26 618
Mihail Ivilinov Todorov Germany 10 137 0.8× 120 2.0× 167 3.4× 116 2.7× 11 0.3× 15 514
Cara R. Schiavon United States 13 242 1.3× 20 0.3× 73 1.5× 42 1.0× 22 0.5× 17 431

Countries citing papers authored by Nigel Chou

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel Chou. 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 Nigel Chou. The network helps show where Nigel Chou may publish in the future.

Co-authorship network of co-authors of Nigel Chou

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

All Works

10 of 10 papers shown
1.
Seow, Wan Yi, et al.. (2024). Highly sensitive spatial transcriptomics using FISHnCHIPs of multiple co-expressed genes. Nature Communications. 15(1). 2342–2342. 4 indexed citations
2.
Singhal, Vipul, Nigel Chou, Joseph Lee, et al.. (2024). BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis. Nature Genetics. 56(3). 431–441. 75 indexed citations breakdown →
3.
Singhal, Vipul & Nigel Chou. (2024). BANKSY: scalable cell typing and domain segmentation for spatial omics. Nature Reviews Genetics. 25(8). 527–528. 3 indexed citations
5.
Goh, Jolene Jie Lin, Nigel Chou, Wan Yi Seow, et al.. (2020). Author Correction: Highly specific multiplexed RNA imaging in tissues with split-FISH. Nature Methods. 17(9). 947–947. 2 indexed citations
6.
Goh, Jolene Jie Lin, Nigel Chou, Wan Yi Seow, et al.. (2020). Author Correction: Highly specific multiplexed RNA imaging in tissues with split-FISH. Nature Methods. 18(1). 114–114. 2 indexed citations
7.
Goh, Jolene Jie Lin, Nigel Chou, Wan Yi Seow, et al.. (2020). Highly specific multiplexed RNA imaging in tissues with split-FISH. Nature Methods. 17(7). 689–693. 82 indexed citations
8.
Stevens, Mark M., Cécile L. Maire, Nigel Chou, et al.. (2016). Drug sensitivity of single cancer cells is predicted by changes in mass accumulation rate. Nature Biotechnology. 34(11). 1161–1167. 74 indexed citations
9.
Chou, Nigel, et al.. (2011). Robust Automatic Rodent Brain Extraction Using 3-D Pulse-Coupled Neural Networks (PCNN). IEEE Transactions on Image Processing. 20(9). 2554–2564. 106 indexed citations
10.
Chou, Nigel, Joseph A. Izatt, & Sina Farsiu. (2009). Generalized pseudo-polar Fourier grids and applications in registering ophthalmic optical coherence tomography images. 807–811. 4 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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