Dena Hernandez

2.4k total citations
11 papers, 486 citations indexed

About

Dena Hernandez is a scholar working on Molecular Biology, Nephrology and Oncology. According to data from OpenAlex, Dena Hernandez has authored 11 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Nephrology and 2 papers in Oncology. Recurrent topics in Dena Hernandez's work include RNA modifications and cancer (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Mitochondrial Function and Pathology (2 papers). Dena Hernandez is often cited by papers focused on RNA modifications and cancer (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Mitochondrial Function and Pathology (2 papers). Dena Hernandez collaborates with scholars based in United States, United Kingdom and Italy. Dena Hernandez's co-authors include Andrew Singleton, Luigi Ferrucci, David Melzer, Lorna W. Harries, Stefania Bandinelli, Jack M. Guralnik, William Henley, Timothy M. Frayling, Anna Murray and Alice C. Holly and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of the American Society of Nephrology and Genomics.

In The Last Decade

Dena Hernandez

10 papers receiving 472 citations

Peers

Dena Hernandez
Wangwei Cai China
Dongjing Yan China
Kathryn A. Carbajal United States
Oge Arum United States
Harpreet K. Brar United States
Justin Darcy United States
Temuri Budagov United States
Nita Sachan United States
Emmeline C. Academia United States
Vittoria Disciglio Italy
Wangwei Cai China
Dena Hernandez
Citations per year, relative to Dena Hernandez Dena Hernandez (= 1×) peers Wangwei Cai

Countries citing papers authored by Dena Hernandez

Since Specialization
Citations

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

Fields of papers citing papers by Dena Hernandez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dena Hernandez

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

All Works

11 of 11 papers shown
1.
Hernandez, Dena & C. Elena Cervantes. (2024). An Atypical Cause of Kidney Amyloidosis: Combined Heavy and Light-Chain Amyloidosis. Journal of the American Society of Nephrology. 35(10S).
2.
Pilling, Luke C., Roby Joehanes, David Melzer, et al.. (2015). Gene expression markers of age-related inflammation in two human cohorts. Experimental Gerontology. 70. 37–45. 19 indexed citations
3.
Holly, Alice C., Luke C. Pilling, Dena Hernandez, et al.. (2014). Splicing factor 3B1 hypomethylation is associated with altered SF3B1 transcript expression in older humans. Mechanisms of Ageing and Development. 135. 50–56. 6 indexed citations
4.
Lin, Honghuang, Roby Joehanes, Luke C. Pilling, et al.. (2014). Whole blood gene expression and interleukin-6 levels. Genomics. 104(6). 490–495. 24 indexed citations
5.
Holly, Alice C., David Melzer, Luke C. Pilling, et al.. (2013). Towards a gene expression biomarker set for human biological age. Aging Cell. 12(2). 324–326. 49 indexed citations
6.
Harries, Lorna W., Alexander D. Fellows, Luke C. Pilling, et al.. (2012). Advancing age is associated with gene expression changes resembling mTOR inhibition: Evidence from two human populations. Mechanisms of Ageing and Development. 133(8). 556–562. 47 indexed citations
7.
Harries, Lorna W., David J. Llewellyn, Luke C. Pilling, et al.. (2012). Leukocyte CCR2 Expression Is Associated with Mini-Mental State Examination Score in Older Adults. Rejuvenation Research. 15(4). 395–404. 26 indexed citations
8.
Harries, Lorna W., Dena Hernandez, William Henley, et al.. (2011). Human aging is characterized by focused changes in gene expression and deregulation of alternative splicing. Aging Cell. 10(5). 868–878. 200 indexed citations
9.
Thambisetty, Madhav, Lori L. Beason‐Held, Michael A. Kraut, et al.. (2011). P1‐267: Alzheimer Risk Variant Clusterin (CLU) and Brain Function During Aging. Alzheimer s & Dementia. 7(4S_Part_6). 1 indexed citations
10.
Martin, Adam, et al.. (2009). Progressive renal failure as the first manifestation of monoclonal light-chain deposition disease with rapid multiple organ involvement. Clinical Nephrology. 71(3). 314–317. 4 indexed citations
11.
Panicker, Vijay, Beverley M. Shields, Anna Murray, et al.. (2008). A Common Variation in Deiodinase 1 Gene DIO1 Is Associated with the Relative Levels of Free Thyroxine and Triiodothyronine. The Journal of Clinical Endocrinology & Metabolism. 93(8). 3075–3081. 110 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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2026