John F. Ouyang

3.8k total citations · 2 hit papers
22 papers, 1.5k citations indexed

About

John F. Ouyang is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, John F. Ouyang has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Atomic and Molecular Physics, and Optics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in John F. Ouyang's work include Single-cell and spatial transcriptomics (9 papers), Gene Regulatory Network Analysis (3 papers) and CRISPR and Genetic Engineering (3 papers). John F. Ouyang is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Gene Regulatory Network Analysis (3 papers) and CRISPR and Genetic Engineering (3 papers). John F. Ouyang collaborates with scholars based in Singapore, Australia and United Kingdom. John F. Ouyang's co-authors include Owen J. L. Rackham, Ryan P. A. Bettens, José M. Polo, Ryan Lister, Daniel Poppe, Guizhi Sun, Enrico Petretto, Elaine Yiqun Cao, Alexandra Grubman and Dulce B. Vargas-Landín and has published in prestigious journals such as Nature, Nature Communications and Blood.

In The Last Decade

John F. Ouyang

21 papers receiving 1.5k citations

Hit Papers

A single-cell atlas of entorhinal cortex from individuals... 2019 2026 2021 2023 2019 2021 100 200 300 400 500

Peers

John F. Ouyang
David Baddeley United States
Doreen Matthies United States
Panpan Yu China
Yuyu Song United States
Jeffrey C. Hansen United States
Jeffrey Hanson United States
John F. Ouyang
Citations per year, relative to John F. Ouyang John F. Ouyang (= 1×) peers Gérard Raffard

Countries citing papers authored by John F. Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by John F. Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John F. Ouyang. 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 John F. Ouyang. The network helps show where John F. Ouyang may publish in the future.

Co-authorship network of co-authors of John F. Ouyang

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

All Works

20 of 20 papers shown
1.
Yang, Pengyi, et al.. (2025). BrainSTEM: A single-cell multiresolution fetal brain atlas reveals transcriptomic fidelity of human midbrain cultures. Science Advances. 11(44). eadu7944–eadu7944.
2.
Ouyang, John F., et al.. (2024). SenMayo transcriptomic senescence panel highlights glial cells in the ageing mouse and human retina. PubMed. 10(1). 60–60. 2 indexed citations
3.
Chew, Gabriel, John F. Ouyang, Yinxia Chao, et al.. (2024). Transcriptomic imputation of genetic risk variants uncovers novel whole-blood biomarkers of Parkinson’s disease. npj Parkinson s Disease. 10(1). 99–99. 3 indexed citations
5.
Cao, Elaine Yiqun, Lisda Suteja, Constance H. Li, et al.. (2023). Single cell analysis in head and neck cancer reveals potential immune evasion mechanisms during early metastasis. Nature Communications. 14(1). 1680–1680. 65 indexed citations
6.
Ouyang, John F., Sonia Chothani, & Owen J. L. Rackham. (2023). Deep learning models will shape the future of stem cell research. Stem Cell Reports. 18(1). 6–12. 5 indexed citations
7.
Krishnan, Vaidehi, Florian Schmidt, Zahid Nawaz, et al.. (2022). A Single-Cell Atlas Identifies Pretreatment Features of Primary Imatinib Resistance in Chronic Myeloid Leukemia. Blood. 140(Supplement 1). 792–794. 9 indexed citations
8.
Ouyang, John F., Uma S. Kamaraj, Elaine Yiqun Cao, & Owen J. L. Rackham. (2021). ShinyCell: simple and sharable visualization of single-cell gene expression data. Bioinformatics. 37(19). 3374–3376. 100 indexed citations
9.
Liu, Xiaodong, Jia Ping Tan, Jan Schröder, et al.. (2021). Modelling human blastocysts by reprogramming fibroblasts into iBlastoids. Nature. 591(7851). 627–632. 240 indexed citations breakdown →
10.
Rackham, Owen J. L., Patrick Cahan, Nancy Mah, et al.. (2021). Challenges for Computational Stem Cell Biology: A Discussion for the Field. Stem Cell Reports. 16(1). 3–9. 4 indexed citations
11.
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
12.
Cao, Elaine Yiqun, John F. Ouyang, & Owen J. L. Rackham. (2020). GeneSwitches: ordering gene expression and functional events in single-cell experiments. Bioinformatics. 36(10). 3273–3275. 41 indexed citations
13.
Kamaraj, Uma S., Joseph Chen, John F. Ouyang, et al.. (2020). EpiMogrify Models H3K4me3 Data to Identify Signaling Molecules that Improve Cell Fate Control and Maintenance. Cell Systems. 11(5). 509–522.e10. 9 indexed citations
14.
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 →
15.
Chothani, Sonia, Eleonora Adami, John F. Ouyang, et al.. (2019). deltaTE: Detection of Translationally Regulated Genes by Integrative Analysis of Ribo‐seq and RNA‐seq Data. Current Protocols in Molecular Biology. 129(1). e108–e108. 77 indexed citations
16.
Ouyang, John F., Uma S. Kamaraj, José M. Polo, Julian Gough, & Owen J. L. Rackham. (2019). Molecular Interaction Networks to Select Factors for Cell Conversion. Methods in molecular biology. 1975. 333–361. 3 indexed citations
17.
Ouyang, John F. & Ryan P. A. Bettens. (2016). When are Many-Body Effects Significant?. Journal of Chemical Theory and Computation. 12(12). 5860–5867. 32 indexed citations
18.
Ouyang, John F. & Ryan P. A. Bettens. (2015). Modelling Water: A Lifetime Enigma. CHIMIA International Journal for Chemistry. 69(3). 104–104. 54 indexed citations
19.
Ouyang, John F. & Ryan P. A. Bettens. (2015). Many-Body Basis Set Superposition Effect. Journal of Chemical Theory and Computation. 11(11). 5132–5143. 41 indexed citations
20.
Xia, Ke, Ting Liu, John F. Ouyang, et al.. (2011). Genome-Wide Identification, Classification, and Expression Analysis of Autophagy-Associated Gene Homologues in Rice (Oryza sativa L.). DNA Research. 18(5). 363–377. 122 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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