Cory B. Giles

3.4k total citations · 1 hit paper
32 papers, 2.5k citations indexed

About

Cory B. Giles is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Cory B. Giles has authored 32 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Neurology. Recurrent topics in Cory B. Giles's work include RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers) and Bioinformatics and Genomic Networks (4 papers). Cory B. Giles is often cited by papers focused on RNA modifications and cancer (5 papers), Epigenetics and DNA Methylation (4 papers) and Bioinformatics and Genomic Networks (4 papers). Cory B. Giles collaborates with scholars based in United States, Hungary and Switzerland. Cory B. Giles's co-authors include Jonathan D. Wren, Stefano Tarantini, Anna Csiszár, Zoltán Ungvári, William E. Sonntag, James L. Kirkland, Laura J. Niedernhofer, Tamar Tchkonia, Heike Fuhrmann‐Stroissnigg and Tamar Pirtskhalava and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The FASEB Journal.

In The Last Decade

Cory B. Giles

31 papers receiving 2.5k citations

Hit Papers

Identification of a novel senolytic agent, navitoclax, ta... 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
Cory B. Giles United States 22 1.0k 903 389 326 264 32 2.5k
Natacha Le Moan United States 13 1.1k 1.1× 1.0k 1.1× 339 0.9× 174 0.5× 200 0.8× 22 2.4k
Jake A. Kushner United States 40 2.6k 2.5× 819 0.9× 88 0.2× 283 0.9× 205 0.8× 87 6.8k
Claudia C.S. Chini United States 25 1.1k 1.0× 618 0.7× 92 0.2× 367 1.1× 165 0.6× 40 3.1k
Julia V. Busik United States 35 1.8k 1.7× 491 0.5× 301 0.8× 294 0.9× 354 1.3× 92 3.5k
Timour Prozorovski Germany 18 1.0k 1.0× 286 0.3× 391 1.0× 653 2.0× 172 0.7× 23 2.4k
Julie E. Simpson United Kingdom 34 1.1k 1.1× 1.3k 1.4× 1.7k 4.4× 677 2.1× 347 1.3× 78 4.2k
Alessandro Alessandrini United States 32 2.7k 2.7× 322 0.4× 319 0.8× 759 2.3× 310 1.2× 56 4.6k
Marı́a M. Fergusson United States 19 3.0k 3.0× 1.5k 1.6× 117 0.3× 299 0.9× 385 1.5× 25 5.1k
Jianliang Zhang China 27 751 0.7× 525 0.6× 123 0.3× 387 1.2× 177 0.7× 75 2.1k
Kun Zou Japan 26 1.2k 1.2× 1.2k 1.3× 339 0.9× 141 0.4× 153 0.6× 75 2.7k

Countries citing papers authored by Cory B. Giles

Since Specialization
Citations

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

Fields of papers citing papers by Cory B. Giles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cory B. Giles

This figure shows the co-authorship network connecting the top 25 collaborators of Cory B. Giles. A scholar is included among the top collaborators of Cory B. Giles 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 B. Giles. Cory B. Giles 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.
Winnicki, M., et al.. (2024). BioVDB: biological vector database for high-throughput gene expression meta-analysis. Frontiers in Artificial Intelligence. 7. 1366273–1366273.
2.
Giles, Cory B., et al.. (2019). MNEMONIC: MetageNomic Experiment Mining to create an OTU Network of Inhabitant Correlations. BMC Bioinformatics. 20(S2). 96–96. 2 indexed citations
4.
Ungvári, Zoltán, Stefano Tarantini, Tamás Kiss, et al.. (2018). Endothelial dysfunction and angiogenesis impairment in the ageing vasculature. Nature Reviews Cardiology. 15(9). 555–565. 320 indexed citations
5.
Masser, Dustin R., Niran Hadad, Hunter L. Porter, et al.. (2017). Sexually divergent DNA methylation patterns with hippocampal aging. Aging Cell. 16(6). 1342–1352. 53 indexed citations
6.
Giles, Cory B., et al.. (2017). ALE: automated label extraction from GEO metadata. BMC Bioinformatics. 18(S14). 509–509. 18 indexed citations
7.
Wren, Jonathan D., Constantin Georgescu, Cory B. Giles, & Jason Hennessey. (2017). Use it or lose it: citations predict the continued online availability of published bioinformatics resources. Nucleic Acids Research. 45(7). 3627–3633. 16 indexed citations
8.
Hadad, Niran, Dustin R. Masser, Sreemathi Logan, et al.. (2016). Absence of genomic hypomethylation or regulation of cytosine-modifying enzymes with aging in male and female mice. Epigenetics & Chromatin. 9(1). 30–30. 38 indexed citations
9.
Mangold, Colleen A., Dustin R. Masser, David R. Stanford, et al.. (2016). CNS-wide Sexually Dimorphic Induction of the Major Histocompatibility Complex 1 Pathway With Aging. The Journals of Gerontology Series A. 72(1). 16–29. 55 indexed citations
10.
Tarantini, Stefano, Zsuzsanna Tucsek, Marta Noa Valcarcel‐Ares, et al.. (2016). Circulating IGF-1 deficiency exacerbates hypertension-induced microvascular rarefaction in the mouse hippocampus and retrosplenial cortex: implications for cerebromicrovascular and brain aging. AGE. 38(4). 273–289. 81 indexed citations
11.
Masser, Dustin R., David R. Stanford, Niran Hadad, et al.. (2016). Bisulfite oligonucleotide-capture sequencing for targeted base- and strand-specific absolute 5-methylcytosine quantitation. AGE. 38(3). 49–49. 13 indexed citations
13.
Tóth, Péter, Stefano Tarantini, Zsolt Springó, et al.. (2015). Aging exacerbates hypertension‐induced cerebral microhemorrhages in mice: role of resveratrol treatment in vasoprotection. Aging Cell. 14(3). 400–408. 137 indexed citations
14.
Masser, Dustin R., Georgina V. Bixler, Robert M. Brucklacher, et al.. (2014). Hippocampal Subregions Exhibit Both Distinct and Shared Transcriptomic Responses to Aging and Nonneurodegenerative Cognitive Decline. The Journals of Gerontology Series A. 69(11). 1311–1324. 38 indexed citations
15.
Tucsek, Zsuzsanna, Péter Tóth, Stefano Tarantini, et al.. (2014). Aging Exacerbates Obesity-induced Cerebromicrovascular Rarefaction, Neurovascular Uncoupling, and Cognitive Decline in Mice. The Journals of Gerontology Series A. 69(11). 1339–1352. 157 indexed citations
16.
Csiszár, Anna, Tripti Gautam, Danuta Sosnowska, et al.. (2014). Caloric restriction confers persistent anti-oxidative, pro-angiogenic, and anti-inflammatory effects and promotes anti-aging miRNA expression profile in cerebromicrovascular endothelial cells of aged rats. American Journal of Physiology-Heart and Circulatory Physiology. 307(3). H292–H306. 140 indexed citations
17.
Towner, Rheal A., Randy L. Jensen, Brian Vaillant, et al.. (2013). Experimental validation of 5 in-silico predicted glioma biomarkers. Neuro-Oncology. 15(12). 1625–1634. 27 indexed citations
18.
Towner, Rheal A., Randy L. Jensen, Howard Colman, et al.. (2012). ELTD1, a Potential New Biomarker for Gliomas. Neurosurgery. 72(1). 77–91. 63 indexed citations
19.
Dozmorov, Mikhail G., Cory B. Giles, & Jonathan D. Wren. (2011). Predicting gene ontology from a global meta-analysis of 1-color microarray experiments. BMC Bioinformatics. 12(S10). S14–S14. 20 indexed citations
20.
Giles, Cory B. & Jonathan D. Wren. (2008). Large-scale directional relationship extraction and resolution. BMC Bioinformatics. 9(S9). S11–S11. 31 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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