Derek M. Huffman

643 total citations
12 papers, 446 citations indexed

About

Derek M. Huffman is a scholar working on Physiology, Molecular Biology and Aging. According to data from OpenAlex, Derek M. Huffman has authored 12 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Aging. Recurrent topics in Derek M. Huffman's work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Telomeres, Telomerase, and Senescence (4 papers) and Spaceflight effects on biology (2 papers). Derek M. Huffman is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (5 papers), Telomeres, Telomerase, and Senescence (4 papers) and Spaceflight effects on biology (2 papers). Derek M. Huffman collaborates with scholars based in United States, Israel and Germany. Derek M. Huffman's co-authors include Yousin Suh, Archana Tare, Cagdas Tazearslan, Gil Atzmon, Adam D. Hudgins, Temuri Budagov, Jerry W. Shay, Diddahally R. Govindaraju, Aviv Bergman and Clyde B. Schechter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Derek M. Huffman

11 papers receiving 441 citations

Peers

Derek M. Huffman
Melissa Han United States
Samuel McFadden United States
Daniel Pulliam United States
Kelly H. Oh United States
Birong Dong China
Justin Darcy United States
Gabriel Sturm United States
Jordan Jackson United States
Adam Spong United States
Jacob A. Panici United States
Melissa Han United States
Derek M. Huffman
Citations per year, relative to Derek M. Huffman Derek M. Huffman (= 1×) peers Melissa Han

Countries citing papers authored by Derek M. Huffman

Since Specialization
Citations

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

Fields of papers citing papers by Derek M. Huffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derek M. Huffman. 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 Derek M. Huffman. The network helps show where Derek M. Huffman may publish in the future.

Co-authorship network of co-authors of Derek M. Huffman

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

All Works

12 of 12 papers shown
1.
Narayan, Sushma, Kai Mao, Martine Le Gal, et al.. (2025). Reduced IGF-1 signaling fails to limit Alzheimer’s disease progression in a novel rat model of IGF-1R haploinsufficiency. Scientific Reports. 16(1). 1856–1856.
2.
Sharvit, Lital, et al.. (2023). Damage-Free Shortening of Telomeres Is a Potential Strategy Supporting Blind Mole-Rat Longevity. Genes. 14(4). 845–845. 2 indexed citations
3.
Huffman, Derek M., Adam B. Salmon, Nathan K. LeBrasseur, et al.. (2022). Resilience to aging is a heterogeneous characteristic defined by physical stressors. PubMed. 4(1). 19–22. 6 indexed citations
4.
Peng, Shouneng, Lu Zeng, Jean‐Vianney Haure‐Mirande, et al.. (2021). Transcriptomic Changes Highly Similar to Alzheimer’s Disease Are Observed in a Subpopulation of Individuals During Normal Brain Aging. Frontiers in Aging Neuroscience. 13. 711524–711524. 13 indexed citations
5.
6.
Champagne, Devin, Monika Dzieciątkowska, Travis Nemkov, et al.. (2019). Parabiosis Incompletely Reverses Aging-Induced Metabolic Changes and Oxidant Stress in Mouse Red Blood Cells. Nutrients. 11(6). 1337–1337. 22 indexed citations
7.
Sharvit, Lital, Irena Manov, Asael Roichman, et al.. (2019). Telomeres and Longevity: A Cause or an Effect?. International Journal of Molecular Sciences. 20(13). 3233–3233. 30 indexed citations
8.
Hudgins, Adam D., et al.. (2018). Age- and Tissue-Specific Expression of Senescence Biomarkers in Mice. Frontiers in Genetics. 9. 59–59. 92 indexed citations
9.
Walters, Ryan O., Luigi Fontana, Irwin J. Kurland, et al.. (2017). SARCOSINE IS UNIQUELY MODULATED BY AGING AND DIETARY RESTRICTION IN RODENTS AND HUMANS. Innovation in Aging. 1(suppl_1). 1208–1209. 1 indexed citations
10.
Burgos, Emmanuel S., Ryan O. Walters, Derek M. Huffman, & David Shechter. (2017). A simplified characterization of S-adenosyl-l-methionine-consuming enzymes with 1-Step EZ-MTase: a universal and straightforward coupled-assay for in vitro and in vivo setting. Chemical Science. 8(9). 6601–6612. 17 indexed citations
11.
Huffman, Derek M., Marissa J. Schafer, & Nathan K. LeBrasseur. (2016). Energetic interventions for healthspan and resiliency with aging. Experimental Gerontology. 86. 73–83. 35 indexed citations
12.
Atzmon, Gil, Richard Cawthon, Temuri Budagov, et al.. (2009). Genetic variation in human telomerase is associated with telomere length in Ashkenazi centenarians. Proceedings of the National Academy of Sciences. 107(suppl_1). 1710–1717. 173 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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