Gerald Quon

13.1k total citations · 1 hit paper
34 papers, 2.2k citations indexed

About

Gerald Quon is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Gerald Quon has authored 34 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Gerald Quon's work include Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (6 papers) and Cancer Genomics and Diagnostics (4 papers). Gerald Quon is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (6 papers) and Cancer Genomics and Diagnostics (4 papers). Gerald Quon collaborates with scholars based in United States, Canada and United Kingdom. Gerald Quon's co-authors include Manolis Kellis, Quaid Morris, Li-Huei Tsai, Hansruedi Mathys, Elizabeta Gjoneska, Anshul Kundaje, Andreas Pfenning, Jannel Liu, Wouter Meuleman and Hans Hauner and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Gerald Quon

34 papers receiving 2.2k citations

Hit Papers

FTO Obesity Variant Circuitry and Adipocyte Browning in H... 2015 2026 2018 2022 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerald Quon United States 17 1.5k 621 379 284 133 34 2.2k
Hans‐Ulrich Klein Germany 31 2.4k 1.6× 537 0.9× 590 1.6× 312 1.1× 251 1.9× 108 3.8k
Heather E. Wheeler United States 24 1.5k 1.0× 1.2k 1.9× 157 0.4× 283 1.0× 60 0.5× 59 2.8k
Henne Holstege Netherlands 26 1.3k 0.9× 600 1.0× 620 1.6× 366 1.3× 175 1.3× 72 2.8k
Stefan Kirov United States 13 1.6k 1.1× 371 0.6× 178 0.5× 415 1.5× 48 0.4× 26 2.3k
Quentin Shao Canada 3 2.1k 1.4× 428 0.7× 201 0.5× 584 2.1× 73 0.5× 3 3.3k
Aoife McMahon United Kingdom 10 1.2k 0.8× 981 1.6× 157 0.4× 201 0.7× 53 0.4× 16 2.2k
Kristina Hanspers United States 19 2.3k 1.6× 274 0.4× 178 0.5× 450 1.6× 62 0.5× 25 3.1k
Stephen A. Wood Australia 37 2.5k 1.7× 760 1.2× 234 0.6× 213 0.8× 113 0.8× 85 3.5k
David Valle‐García United States 20 2.2k 1.5× 784 1.3× 167 0.4× 402 1.4× 34 0.3× 35 3.0k
Dominik Seelow Germany 19 1.8k 1.2× 1.2k 1.9× 119 0.3× 217 0.8× 54 0.4× 50 2.6k

Countries citing papers authored by Gerald Quon

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Quon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Quon

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Quon. A scholar is included among the top collaborators of Gerald Quon 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 Gerald Quon. Gerald Quon 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.
Soto, Daniela C., Gulhan Kaya, Keiko Hino, et al.. (2025). Human-specific gene expansions contribute to brain evolution. Cell. 188(19). 5363–5383.e22. 2 indexed citations
2.
Pargett, Michael, et al.. (2025). Deciphering the history of ERK activity from fixed-cell immunofluorescence measurements. Nature Communications. 16(1). 4721–4721. 1 indexed citations
3.
Quon, Gerald, et al.. (2024). scPair: Boosting single cell multimodal analysis by leveraging implicit feature selection and single cell atlases. Nature Communications. 15(1). 9932–9932. 6 indexed citations
4.
Neier, Kari, Ian Korf, Gerald Quon, et al.. (2024). Sex-specific single cell-level transcriptomic signatures of Rett syndrome disease progression. Communications Biology. 7(1). 1292–1292. 5 indexed citations
5.
Li, Ruoxin, et al.. (2023). siVAE: interpretable deep generative models for single-cell transcriptomes. Genome biology. 24(1). 29–29. 20 indexed citations
6.
Johansen, Nelson, et al.. (2023). Projecting RNA measurements onto single cell atlases to extract cell type-specific expression profiles using scProjection. Nature Communications. 14(1). 5192–5192. 3 indexed citations
7.
Davies, Alexander E., Michael Pargett, Stefan Siebert, et al.. (2020). Systems-Level Properties of EGFR-RAS-ERK Signaling Amplify Local Signals to Generate Dynamic Gene Expression Heterogeneity. Cell Systems. 11(2). 161–175.e5. 30 indexed citations
8.
Johansen, Nelson & Gerald Quon. (2019). scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data. Genome biology. 20(1). 166–166. 57 indexed citations
9.
Li, Jiannan, Wen See Tan, Wenwu Xiao, et al.. (2018). A Plug-and-Play, Drug-on-Pillar Platform for Combination Drug Screening Implemented by Microfluidic Adaptive Printing. Analytical Chemistry. 90(23). 13969–13977. 24 indexed citations
10.
Ramani, Vishnu C., Rakhi Gupta, Gerald Quon, et al.. (2017). Abstract 1847: Evaluating the metastatic potential and the molecular heterogeneity of patient-derived orthotopic xenograft models of triple-negative breast cancer. Cancer Research. 77(13_Supplement). 1847–1847. 1 indexed citations
11.
Cui, Ang, Gerald Quon, Alan Rosenberg, Rae S. M. Yeung, & Quaid Morris. (2016). Gene Expression Deconvolution for Uncovering Molecular Signatures in Response to Therapy in Juvenile Idiopathic Arthritis. PLoS ONE. 11(5). e0156055–e0156055. 10 indexed citations
12.
Marbach, Daniel, David Lamparter, Gerald Quon, et al.. (2016). Tissue-specific regulatory circuits reveal variable modular perturbations across complex diseases. Nature Methods. 13(4). 366–370. 192 indexed citations
13.
Gjoneska, Elizabeta, Andreas Pfenning, Hansruedi Mathys, et al.. (2015). Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease. Nature. 518(7539). 365–369. 384 indexed citations
14.
Lippert, Christoph, Gerald Quon, Eun Yong Kang, et al.. (2013). The benefits of selecting phenotype-specific variants for applications of mixed models in genomics. Scientific Reports. 3(1). 1815–1815. 35 indexed citations
15.
Quon, Gerald, Christoph Lippert, David Heckerman, & Jennifer Listgarten. (2013). Patterns of methylation heritability in a genome-wide analysis of four brain regions. Nucleic Acids Research. 41(4). 2095–2104. 35 indexed citations
16.
Li, Xiao, Gerald Quon, Howard D. Lipshitz, & Quaid Morris. (2010). Predicting in vivo binding sites of RNA-binding proteins using mRNA secondary structure. RNA. 16(6). 1096–1107. 134 indexed citations
17.
Quon, Gerald, Yee Whye Teh, Esther T. Chan, et al.. (2008). A mixture model for the evolution of gene expression in non-homogeneous datasets. UCL Discovery (University College London). 21. 1297–1304. 2 indexed citations
18.
Quon, Gerald, et al.. (2005). Nh3D: A reference dataset of non-homologous protein structures. BMC Structural Biology. 5(1). 12–12. 16 indexed citations
19.
Shah, Sohrab P., David He, Gerald Quon, et al.. (2004). Pegasys: software for executing and integrating analyses of biological sequences. BMC Bioinformatics. 5(1). 40–40. 57 indexed citations
20.
Quon, Gerald, Paul M. K. Gordon, & Christoph W. Sensen. (2003). 4D Bioinformatics: A New Look at the Ribosome as an Example. IUBMB Life. 55(4-5). 279–283. 5 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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