Stephanie C. Hicks

11.1k total citations · 3 hit papers
87 papers, 4.2k citations indexed

About

Stephanie C. Hicks is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Stephanie C. Hicks has authored 87 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 20 papers in Surgery and 9 papers in Cancer Research. Recurrent topics in Stephanie C. Hicks's work include Single-cell and spatial transcriptomics (39 papers), Gene expression and cancer classification (23 papers) and Hernia repair and management (15 papers). Stephanie C. Hicks is often cited by papers focused on Single-cell and spatial transcriptomics (39 papers), Gene expression and cancer classification (23 papers) and Hernia repair and management (15 papers). Stephanie C. Hicks collaborates with scholars based in United States, United Kingdom and Italy. Stephanie C. Hicks's co-authors include Rafael A. Irizarry, Mike K. Liang, F. William Townes, Mingxiang Teng, Linda T. Li, Rachel L. Berger, Lillian S. Kao, Jessica A. Davila, Lukas M. Weber and Martin J. Aryee and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

In The Last Decade

Stephanie C. Hicks

79 papers receiving 4.2k 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.

Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex

2021 557 citations Kristen R. Maynard, Leonardo Collado‐Torres et al. Nature Neuroscience profile →
Orchestrating single-cell analysis with Bioconductor

2019 423 citations Aaron T. L. Lun, Davide Risso et al. profile →
Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model

2019 257 citations Stephanie C. Hicks et al. Genome biology profile →

Peers

Countries citing papers authored by Stephanie C. Hicks

Since Specialization

Citations

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

Fields of papers citing papers by Stephanie C. Hicks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie C. Hicks. 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 Stephanie C. Hicks. The network helps show where Stephanie C. Hicks may publish in the future.

Co-authorship network of co-authors of Stephanie C. Hicks

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Spatial mutual nearest neighbors for spatial transcriptomics data 2025 ·Bioinformatics ·Haowen Zhou, (unknown), Boyi Guo, (unknown), Shila Ghazanfar, Stephanie C. Hicks	1
2	Transcriptional dynamics of sleep deprivation and subsequent recovery sleep in the male mouse cortex 2025 ·Physiological Genomics ·(unknown), C. A. Ottaway, (unknown), E Medina, (unknown), Ashley M. Ingiosi, Stephanie C. Hicks, Kristan Singletary, Lucı́a Peixoto	3
3	Benchmark of cellular deconvolution methods using a multi-assay dataset from postmortem human prefrontal cortex 2025 ·Genome biology ·Louise A. Huuki-Myers, Kelsey D. Montgomery, Sang Ho Kwon, (unknown), Nicholas J. Eagles, (unknown), Sean K. Maden, Joel E. Kleinman, Thomas M. Hyde, Stephanie C. Hicks, Kristen R. Maynard, Leonardo Collado‐Torres	6
4	Spatial domain detection using contrastive self-supervised learning for spatial multi-omics technologies 2025 ·Genome Research ·Jianing Yao, (unknown), Brian Caffo, Stephanie C. Page, Keri Martinowich, Stephanie C. Hicks	0
5	Quantifying the Alignment of a Data Analysis Between Analyst and Audience 2025 ·Journal of Data Science ·Lucy D’Agostino McGowan, Roger D. Peng, Stephanie C. Hicks	0
6	Partnering With Authors to Enhance Reproducibility at JASA 2024 ·Journal of the American Statistical Association ·Julia Wrobel, (unknown), Lorin Crawford, Lucy D’Agostino McGowan, (unknown), Jeff Goldsmith, Stephanie C. Hicks, Michael J. Kane, Youjin Lee, (unknown), Christopher Paciorek, (unknown), Julian Wolfson	3
7	The gene expression landscape of the human locus coeruleus revealed by single-nucleus and spatially-resolved transcriptomics 2024 ·eLife ·Lukas M. Weber, (unknown), Matthew N. Tran, Sang Ho Kwon, Abby Spangler, Kelsey D. Montgomery, Madhavi Tippani, Rahul Bharadwaj, Joel E. Kleinman, Stephanie C. Page, Thomas M. Hyde, Leonardo Collado‐Torres, Kristen R. Maynard, Keri Martinowich, Stephanie C. Hicks	8
8	The gene expression landscape of the human locus coeruleus revealed by single-nucleus and spatially-resolved transcriptomics 2023 ·eLife ·Lukas M. Weber, (unknown), Matthew N. Tran, Sang‐Ho Kwon, Abby Spangler, Kelsey D. Montgomery, Madhavi Tippani, Rahul Bharadwaj, Joel E. Kleinman, Stephanie C. Page, Thomas M. Hyde, Leonardo Collado‐Torres, Kristen R. Maynard, Keri Martinowich, Stephanie C. Hicks	6
9	Activity‐regulated gene expression across cell types of the mouse hippocampus 2023 ·Hippocampus ·(unknown), Kristen R. Maynard, (unknown), Matthew N. Tran, (unknown), Leonardo Collado‐Torres, Stephanie C. Hicks, Keri Martinowich	5
10	`escheR` : unified multi-dimensional visualizations with Gestalt principles 2023 ·Bioinformatics Advances ·Boyi Guo, Louise A. Huuki-Myers, (unknown), Leonardo Collado‐Torres, Stephanie C. Hicks	3
11	Influence of Alzheimer's Disease Related Neuropathology on Local Microenvironment Gene Expression in the Human Inferior Temporal Cortex 2023 ·PubMed ·Sang Ho Kwon, (unknown), Madhavi Tippani, (unknown), Nicholas J. Eagles, (unknown), Stephen R. Williams, Michelle Mak, Rahul Bharadwaj, Joel E. Kleinman, Thomas M. Hyde, Stephanie C. Page, Stephanie C. Hicks, Keri Martinowich, Kristen R. Maynard, Leonardo Collado‐Torres	5
12	Data-driven identification of total RNA expression genes for estimation of RNA abundance in heterogeneous cell types highlighted in brain tissue 2023 ·Genome biology ·Louise A. Huuki-Myers, Kelsey D. Montgomery, Sang‐Ho Kwon, Stephanie C. Page, Stephanie C. Hicks, Kristen R. Maynard, Leonardo Collado‐Torres	5
13	Performant web-based interactive visualization tool for spatially-resolved transcriptomics experiments 2023 ·SHILAP Revista de lepidopterología ·Chaichontat Sriworarat, (unknown), Nicholas J. Eagles, Leonardo Collado‐Torres, Keri Martinowich, Kristen R. Maynard, Stephanie C. Hicks	5
14	A scalable and unbiased discordance metric with H + 2022 ·Biostatistics ·Nathan Dyjack, Daniel N. Baker, Vladimir Braverman, Ben Langmead, Stephanie C. Hicks	1
15	SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor 2022 ·Bioinformatics ·Dario Righelli, Lukas M. Weber, Helena L. Crowell, (unknown), Leonardo Collado‐Torres, Shila Ghazanfar, Aaron T. L. Lun, Stephanie C. Hicks, Davide Risso	46
16	spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data 2022 ·BMC Genomics ·(unknown), Abby Spangler, Lukas M. Weber, Stephanie C. Page, Stephanie C. Hicks, Andrew E. Jaffe, Keri Martinowich, Kristen R. Maynard, Leonardo Collado‐Torres	80
17	Addressing the mean-correlation relationship in co-expression analysis 2022 ·PLoS Computational Biology ·Yi Wang, Stephanie C. Hicks, Kasper D. Hansen	11
18	Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design 2021 ·GigaScience ·Lukas M. Weber, (unknown), Peter F. Hickey, Kristofer C. Berrett, Jason Gertz, Jennifer A. Doherty, Casey S. Greene, Stephanie C. Hicks	21
19	Single-nucleus transcriptome analysis reveals cell-type-specific molecular signatures across reward circuitry in the human brain 2021 ·Neuron ·Matthew N. Tran, Kristen R. Maynard, Abby Spangler, Louise A. Huuki-Myers, Kelsey D. Montgomery, Vijay Sadashivaiah, Madhavi Tippani, Brianna K. Barry, Dana B. Hancock, Stephanie C. Hicks, Joel E. Kleinman, Thomas M. Hyde, Leonardo Collado‐Torres, Andrew E. Jaffe, Keri Martinowich	107
20	Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex breakdown → 2021 ·Nature Neuroscience ·Kristen R. Maynard, Leonardo Collado‐Torres, Lukas M. Weber, Cedric R. Uytingco, Brianna K. Barry, Stephen R. Williams, Joseph Catallini, Matthew N. Tran, (unknown), Madhavi Tippani, Jennifer Chew, Yifeng Yin, Joel E. Kleinman, Thomas M. Hyde, Nikhil Rao, Stephanie C. Hicks, Keri Martinowich, Andrew E. Jaffe	557

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.

Explore authors with similar magnitude of impact