Matt Kaeberlein

33.1k total citations · 7 hit papers
226 papers, 21.8k citations indexed

About

Matt Kaeberlein is a scholar working on Aging, Molecular Biology and Physiology. According to data from OpenAlex, Matt Kaeberlein has authored 226 papers receiving a total of 21.8k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Aging, 142 papers in Molecular Biology and 67 papers in Physiology. Recurrent topics in Matt Kaeberlein's work include Genetics, Aging, and Longevity in Model Organisms (156 papers), Fungal and yeast genetics research (48 papers) and Mitochondrial Function and Pathology (30 papers). Matt Kaeberlein is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (156 papers), Fungal and yeast genetics research (48 papers) and Mitochondrial Function and Pathology (30 papers). Matt Kaeberlein collaborates with scholars based in United States, China and Canada. Matt Kaeberlein's co-authors include Leonard Guarente, Brian K. Kennedy, Christopher M. Armstrong, Shin‐ichiro Imai, Mitch McVey, Peter S. Rabinovitch, Simon C. Johnson, Stanley Fields, Kristan K. Steffen and Ryan Powers and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Matt Kaeberlein

222 papers receiving 21.5k citations

Hit Papers

5 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.

Transcriptional silencing and longevity protein Sir2 is an NAD-dependent histone deacetylase

2000 2.8k citations Matt Kaeberlein et al. profile →
The SIR2/3/4 complex and SIR2 alone promote longevity in Saccharomyces cerevisiae by two different mechanisms

1999 1.7k citations Matt Kaeberlein et al. profile →
mTOR is a key modulator of ageing and age-related disease

2013 1.3k citations Simon C. Johnson, Peter S. Rabinovitch et al. profile →
Regulation of Yeast Replicative Life Span by TOR and Sch9 in Response to Nutrients

2005 1.0k citations Matt Kaeberlein, Ryan Powers et al. Science profile →
Calorie restriction extends Saccharomyces cerevisiae lifespan by increasing respiration

2002 857 citations Matt Kaeberlein et al. profile →
Extension of chronological life span in yeast by decreased TOR pathway signaling

2006 741 citations Ryan Powers, Matt Kaeberlein et al. profile →
Substrate-specific Activation of Sirtuins by Resveratrol

2005 603 citations Matt Kaeberlein, Stanley Fields et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matt Kaeberlein United States	65	12.7k	9.0k	6.0k	4.5k	2.5k	226	21.8k
Brian K. Kennedy United States	72	13.2k 1.0×	7.1k 0.8×	5.1k 0.8×	2.2k 0.5×	1.8k 0.7×	242	21.4k
Valter D. Longo United States	70	9.6k 0.8×	6.6k 0.7×	11.0k 1.8×	1.7k 0.4×	1.9k 0.8×	184	23.8k
Richard Weindruch United States	74	10.6k 0.8×	8.1k 0.9×	12.1k 2.0×	2.3k 0.5×	2.1k 0.8×	216	25.2k
Anne Brunet United States	79	26.6k 2.1×	5.7k 0.6×	6.0k 1.0×	2.8k 0.6×	3.0k 1.2×	144	38.7k
Tomas A. Prolla United States	60	11.8k 0.9×	2.5k 0.3×	5.4k 0.9×	2.9k 0.6×	2.3k 0.9×	124	19.4k
Raúl Mostoslavsky United States	53	9.8k 0.8×	1.6k 0.2×	6.3k 1.0×	9.6k 2.1×	5.4k 2.1×	90	20.8k
Nektarios Tavernarakis Greece	63	9.7k 0.8×	3.4k 0.4×	3.4k 0.6×	943 0.2×	6.1k 2.4×	240	18.3k
Andrew Dillin United States	63	13.1k 1.0×	7.4k 0.8×	5.0k 0.8×	661 0.1×	4.7k 1.8×	124	21.9k
Shin‐ichiro Imai United States	49	8.3k 0.7×	1.7k 0.2×	6.9k 1.1×	11.0k 2.4×	5.2k 2.0×	103	21.3k
Dudley W. Lamming United States	48	5.5k 0.4×	2.5k 0.3×	3.9k 0.7×	2.9k 0.6×	2.0k 0.8×	97	11.9k

Countries citing papers authored by Matt Kaeberlein

Since Specialization

Citations

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

Fields of papers citing papers by Matt Kaeberlein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Kaeberlein

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

All Works

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20 of 20 papers shown

McGrath, Stephanie, Matthew D. Dunbar, Evan L. MacLean, et al.. (2025). The companion dog as a translational model for Alzheimer's disease: Development of a longitudinal research platform and post mortem protocols. Alzheimer s & Dementia. 21(9). e70630–e70630.

Blank, Heidi M., Mitsuhiro Tsuchiya, Marcel Brun, et al.. (2024). Late-life dietary folate restriction reduces biosynthesis without compromising healthspan in mice. Life Science Alliance. 7(10). e202402868–e202402868. 2 indexed citations

Pabis, Kamil, Diogo Barardo, Jan Gruber, et al.. (2024). The impact of short-lived controls on the interpretation of lifespan experiments and progress in geroscience – Through the lens of the “900-day rule”. Ageing Research Reviews. 101. 102512–102512. 7 indexed citations

Weintraub, Jane A., Matt Kaeberlein, Kathryn A. Atchison, et al.. (2023). Geroscience: Aging and Oral Health Research. Advances in Dental Research. 31(1). 2–15. 9 indexed citations

Barnett, Brian, Sonya G. Gordon, Ashley B. Saunders, et al.. (2023). A masked, placebo-controlled, randomized clinical trial evaluating safety and the effect on cardiac function of low-dose rapamycin in 17 healthy client-owned dogs. Frontiers in Veterinary Science. 10. 1168711–1168711. 10 indexed citations

Kaeberlein, Matt, et al.. (2023). Case report: Severe asymptomatic hypertriglyceridemia associated with long-term low-dose rapamycin administration in a healthy middle-aged Labrador retriever. Frontiers in Veterinary Science. 10. 1285498–1285498.

Cao, Xiaohua, Luyang Sun, Jun‐yi Zhu, et al.. (2021). Inactivating histone deacetylase HDA promotes longevity by mobilizing trehalose metabolism. Nature Communications. 12(1). 1981–1981. 33 indexed citations

Zou, Ke, Silvi Rouskin, Mark A. McCormick, et al.. (2020). Life span extension by glucose restriction is abrogated by methionine supplementation: Cross-talk between glucose and methionine and implication of methionine as a key regulator of life span. Science Advances. 6(32). eaba1306–eaba1306. 54 indexed citations

Ollodart, Anja R., Courtnee Clough, Gina M. Alvino, et al.. (2019). Phenotypic and Genotypic Consequences of CRISPR/Cas9 Editing of the Replication Origins in the rDNA of Saccharomyces cerevisiae. Genetics. 213(1). 229–249. 8 indexed citations

10.

Crane, Matthew M., David J. Thaller, Ankur Mishra, et al.. (2019). Age-dependent deterioration of nuclear pore assembly in mitotic cells decreases transport dynamics. eLife. 8. 61 indexed citations

11.

Kaeberlein, Matt. (2015). Handbook of the Biology of Aging Ed. 8. Elsevier eBooks.

12.

Leiser, Scott F., Hillary Miller, Marissa Fletcher, et al.. (2015). Cell nonautonomous activation of flavin-containing monooxygenase promotes longevity and health span. Science. 350(6266). 1375–1378. 106 indexed citations

13.

Labunskyy, Vyacheslav M., Maxim V. Gerashchenko, Joe R. Delaney, et al.. (2014). Lifespan Extension Conferred by Endoplasmic Reticulum Secretory Pathway Deficiency Requires Induction of the Unfolded Protein Response. PLoS Genetics. 10(1). e1004019–e1004019. 64 indexed citations

14.

He, Chong, Scott Tsuchiyama, Quynh Thi Thuy Nguyen, et al.. (2014). Enhanced Longevity by Ibuprofen, Conserved in Multiple Species, Occurs in Yeast through Inhibition of Tryptophan Import. PLoS Genetics. 10(12). e1004860–e1004860. 77 indexed citations

15.

Johnson, Simon C., Ernst‐Bernhard Kayser, Albert Quintana, et al.. (2013). mTOR Inhibition Alleviates Mitochondrial Disease in a Mouse Model of Leigh Syndrome. Science. 342(6165). 1524–1528. 401 indexed citations

16.

Xian, Bo, Jie Shen, Weiyang Chen, et al.. (2013). WormFarm: a quantitative control and measurement device toward automated Caenorhabditis elegans aging analysis. Aging Cell. 12(3). 398–409. 78 indexed citations

17.

Burtner, Christopher R., Christopher J. Murakami, Brady Olsen, Brian K. Kennedy, & Matt Kaeberlein. (2011). A genomic analysis of chronological longevity factors in budding yeast. Cell Cycle. 10(9). 1385–1396. 66 indexed citations

18.

Mehta, Ranjana, George L. Sutphin, Fresnida J. Ramos, et al.. (2009). Proteasomal Regulation of the Hypoxic Response Modulates Aging in C. elegans. Science. 324(5931). 1196–1198. 195 indexed citations

19.

Kaeberlein, Matt & Brian K. Kennedy. (2008). Protein translation, 2008. Aging Cell. 7(6). 777–782. 22 indexed citations

20.

Kaeberlein, Matt, Ryan Powers, Kristan K. Steffen, et al.. (2005). Regulation of Yeast Replicative Life Span by TOR and Sch9 in Response to Nutrients. Science. 310(5751). 1193–1196. 1015 indexed citations breakdown →

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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