Cory C. Funk

6.4k total citations · 1 hit paper
44 papers, 2.0k citations indexed

About

Cory C. Funk is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Cory C. Funk has authored 44 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Physiology and 8 papers in Neurology. Recurrent topics in Cory C. Funk's work include Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Bioinformatics and Genomic Networks (8 papers). Cory C. Funk is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Bioinformatics and Genomic Networks (8 papers). Cory C. Funk collaborates with scholars based in United States, United Kingdom and China. Cory C. Funk's co-authors include Nathan D. Price, Piper M. Treuting, Jessica M. Snyder, Kathleen Pestal, Daniel B. Stetson, Benita S. Katzenellenbogen, Ben Readhead, Paul Shannon, Matthew A. Richards and Eric M. Reiman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Cory C. Funk

43 papers receiving 2.0k citations

Hit Papers

Multiscale Analysis of Independent Alzheimer’s Cohorts Fi... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Cory C. Funk
Justin P. Rubio Australia
Leonid Tarassishin United States
Ying‐Wooi Wan United States
Veronica MacLeod United States
Sung‐Jen Wei United States
Cory B. Giles United States
S. Priya Narayanan United States
Cory C. Funk
Citations per year, relative to Cory C. Funk Cory C. Funk (= 1×) peers Antonio Parrado

Countries citing papers authored by Cory C. Funk

Since Specialization
Citations

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

Fields of papers citing papers by Cory C. Funk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cory C. Funk

This figure shows the co-authorship network connecting the top 25 collaborators of Cory C. Funk. A scholar is included among the top collaborators of Cory C. Funk 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 Cory C. Funk. Cory C. Funk 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.
Wang, Qi, Jerry Antone, Eric Alsop, et al.. (2024). Single cell transcriptomes and multiscale networks from persons with and without Alzheimer’s disease. Nature Communications. 15(1). 5815–5815. 8 indexed citations
2.
Mikheeva, Svetlana A., Cory C. Funk, Philip J. Horner, Robert Rostomily, & Andrei M. Mikheev. (2023). Novel TCF4:TCF12 heterodimer inhibits glioblastoma growth. Molecular Oncology. 18(3). 517–527. 4 indexed citations
3.
McFarland, Karen N., Mariet Allen, Christian Lessard, et al.. (2022). Deletion of Abi3/Gngt2 influences age-progressive amyloid β and tau pathologies in distinctive ways. Alzheimer s Research & Therapy. 14(1). 104–104. 10 indexed citations
4.
Roper, Ryan, Venkata R. Duvvuri, Jason D. Goldman, et al.. (2022). Risk factors for severe COVID-19 differ by age for hospitalized adults. Scientific Reports. 12(1). 6568–6568. 37 indexed citations
5.
Baloni, Priyanka, Kwangsik Nho, Matthias Arnold, et al.. (2021). Investigating the importance of acylcarnitines in Alzheimer's disease.. PuSH - Publication Server of Helmholtz Zentrum München. 1 indexed citations
6.
Baloni, Priyanka, Cory C. Funk, Ben Readhead, & Nathan D. Price. (2021). Systems modeling of metabolic dysregulation in neurodegenerative diseases. Current Opinion in Pharmacology. 60. 59–65. 7 indexed citations
7.
Funk, Cory C., et al.. (2020). iREAD: a tool for intron retention detection from RNA-seq data. BMC Genomics. 21(1). 38 indexed citations
8.
Madduri, Ravi, Kyle Chard, Mike D’Arcy, et al.. (2019). Reproducible big data science: A case study in continuous FAIRness. PLoS ONE. 14(4). e0213013–e0213013. 23 indexed citations
9.
Readhead, Ben, Jean‐Vianney Haure‐Mirande, Cory C. Funk, et al.. (2018). Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus. Neuron. 99(1). 64–82.e7. 471 indexed citations breakdown →
10.
Pollak, Julia, Goutam Karan, Cory C. Funk, et al.. (2017). Ion channel expression patterns in glioblastoma stem cells with functional and therapeutic implications for malignancy. PLoS ONE. 12(3). e0172884–e0172884. 36 indexed citations
11.
Funk, Cory C., Juan Caballero-Pérez, Nameeta Shah, et al.. (2017). A Cell-Surface Membrane Protein Signature for Glioblastoma. Cell Systems. 4(5). 516–529.e7. 37 indexed citations
12.
Bragg, R R, Seth A. Ament, Jeffrey P. Cantle, et al.. (2017). Motivational, proteostatic and transcriptional deficits precede synapse loss, gliosis and neurodegeneration in the B6.HttQ111/+ model of Huntington’s disease. Scientific Reports. 7(1). 41570–41570. 15 indexed citations
13.
Eddy, James A., Cory C. Funk, & Nathan D. Price. (2015). Fostering synergy between cell biology and systems biology. Trends in Cell Biology. 25(8). 440–445. 3 indexed citations
14.
Pestal, Kathleen, Cory C. Funk, Jessica M. Snyder, et al.. (2015). Isoforms of RNA-Editing Enzyme ADAR1 Independently Control Nucleic Acid Sensor MDA5-Driven Autoimmunity and Multi-organ Development. Immunity. 43(5). 933–944. 375 indexed citations
15.
Magis, Andrew T., Cory C. Funk, & Nathan D. Price. (2015). SNAPR: A Bioinformatics Pipeline for Efficient and Accurate RNA-Seq Alignment and Analysis. PubMed. 1(2). 22–25. 10 indexed citations
16.
Craig, Theodore A., Yuji Zhang, Andrew T. Magis, et al.. (2014). Detection of 1α,25-Dihydroxyvitamin D-Regulated miRNAs in Zebrafish by Whole Transcriptome Sequencing. Zebrafish. 11(3). 207–218. 10 indexed citations
17.
Sangar, Vineet, Cory C. Funk, Ulrike Kusebauch, et al.. (2014). Quantitative Proteomic Analysis Reveals Effects of Epidermal Growth Factor Receptor (EGFR) on Invasion-promoting Proteins Secreted by Glioblastoma Cells. Molecular & Cellular Proteomics. 13(10). 2618–2631. 30 indexed citations
18.
Earls, John C., James A. Eddy, Cory C. Funk, et al.. (2013). AUREA: an open-source software system for accurate and user-friendly identification of relative expression molecular signatures. BMC Bioinformatics. 14(1). 78–78. 4 indexed citations
19.
Frasor, Jonna, Jeanne M. Danes, Cory C. Funk, & Benita S. Katzenellenbogen. (2005). Estrogen down-regulation of the corepressor N-CoR: Mechanism and implications for estrogen derepression of N-CoR-regulated genes. Proceedings of the National Academy of Sciences. 102(37). 13153–13157. 72 indexed citations
20.
Kim, Sung Hoon, Cory C. Funk, Zeynep Madak‐Erdogan, et al.. (2005). Estrogen Dendrimer Conjugates that Preferentially Activate Extranuclear, Nongenomic Versus Genomic Pathways of Estrogen Action. Molecular Endocrinology. 20(3). 491–502. 211 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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