Gavin J Sutton

1.1k total citations · 1 hit paper
7 papers, 434 citations indexed

About

Gavin J Sutton is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Gavin J Sutton has authored 7 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Gavin J Sutton's work include Single-cell and spatial transcriptomics (3 papers), Cancer-related molecular mechanisms research (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Gavin J Sutton is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Cancer-related molecular mechanisms research (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Gavin J Sutton collaborates with scholars based in Australia, United States and China. Gavin J Sutton's co-authors include Irina Voineagu, Neelroop Parikshak, Jerry I. Huang, Chang‐Hoon Lee, Daniel H. Geschwind, Carli K. Opland, Daning Lu, Farhad Hormozdiari, Michael J. Gandal and Luis de la Torre-Ubieta and has published in prestigious journals such as Nature, Nature Communications and Nature Neuroscience.

In The Last Decade

Gavin J Sutton

5 papers receiving 433 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.

Chromosome conformation elucidates regulatory relationships in developing human brain

2016 347 citations Hyejung Won, Luis de la Torre-Ubieta et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gavin J Sutton Australia	4	340	186	48	34	30	7	434
Carli K. Opland United States	4	503 1.5×	285 1.5×	72 1.5×	35 1.0×	38 1.3×	5	641
Dan Vershkov Israel	7	388 1.1×	199 1.1×	78 1.6×	14 0.4×	14 0.5×	9	455
Marty G. Yang United States	7	383 1.1×	141 0.8×	40 0.8×	27 0.8×	18 0.6×	10	450
Amy B. Wilfert United States	5	244 0.7×	197 1.1×	54 1.1×	33 1.0×	10 0.3×	6	365
Nir Oksenberg United States	9	334 1.0×	160 0.9×	78 1.6×	14 0.4×	40 1.3×	12	462
Beatriz del Blanco Spain	10	288 0.8×	117 0.6×	26 0.5×	30 0.9×	20 0.7×	16	379
Christina N. Vallianatos United States	6	296 0.9×	194 1.0×	27 0.6×	29 0.9×	9 0.3×	8	362
Roberta De Filippis Italy	7	151 0.4×	118 0.6×	55 1.1×	18 0.5×	14 0.5×	11	256
Derek J.C. Tai United States	12	291 0.9×	160 0.9×	50 1.0×	23 0.7×	10 0.3×	15	400
Sailaja Peddada United States	5	431 1.3×	394 2.1×	187 3.9×	26 0.8×	29 1.0×	7	569

Countries citing papers authored by Gavin J Sutton

Since Specialization

Citations

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

Fields of papers citing papers by Gavin J Sutton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin J Sutton. 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 Gavin J Sutton. The network helps show where Gavin J Sutton may publish in the future.

Co-authorship network of co-authors of Gavin J Sutton

This figure shows the co-authorship network connecting the top 25 collaborators of Gavin J Sutton. A scholar is included among the top collaborators of Gavin J Sutton 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 Gavin J Sutton. Gavin J Sutton 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.

Sutton, Gavin J, Sébastien Bagot, Kieran Walsh, et al.. (2025). CRISPRi screening in cultured human astrocytes uncovers distal enhancers controlling genes dysregulated in Alzheimer’s disease. Nature Neuroscience. 29(3). 703–716.

2.

Lee, Bob S. L., Renhua Song, E. Robertson, et al.. (2025). Epigenetic Reprogramming via TET2 Prevents Medial Calcification and Restores Vascular Smooth Muscle Cell Identity. JACC Basic to Translational Science. 11(1). 101434–101434.

3.

Sutton, Gavin J, Daniel Poppe, Rebecca K. Simmons, et al.. (2022). Comprehensive evaluation of deconvolution methods for human brain gene expression. Nature Communications. 13(1). 1358–1358. 59 indexed citations

4.

Koch, Forrest, Gavin J Sutton, Irina Voineagu, & Fatemeh Vafaee. (2021). Supervised application of internal validation measures to benchmark dimensionality reduction methods in scRNA-seq data. Briefings in Bioinformatics. 22(6). 15 indexed citations

5.

Opland, Carli K., Gavin J Sutton, Irina Voineagu, et al.. (2020). Chromosome conformation elucidates regulatory relationships in developing human brain. UNC Libraries. 2 indexed citations

6.

Sutton, Gavin J, et al.. (2016). Searching for convergent pathways in autism spectrum disorders: insights from human brain transcriptome studies. Cellular and Molecular Life Sciences. 73(23). 4517–4530. 11 indexed citations

7.

Won, Hyejung, Luis de la Torre-Ubieta, Jason L. Stein, et al.. (2016). Chromosome conformation elucidates regulatory relationships in developing human brain. Nature. 538(7626). 523–527. 347 indexed citations breakdown →

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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