Garrett A. Sessions

989 total citations · 1 hit paper
7 papers, 718 citations indexed

About

Garrett A. Sessions is a scholar working on Physiology, Molecular Biology and Pharmacology. According to data from OpenAlex, Garrett A. Sessions has authored 7 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Garrett A. Sessions's work include Telomeres, Telomerase, and Senescence (4 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer-related molecular mechanisms research (2 papers). Garrett A. Sessions is often cited by papers focused on Telomeres, Telomerase, and Senescence (4 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer-related molecular mechanisms research (2 papers). Garrett A. Sessions collaborates with scholars based in United States and Portugal. Garrett A. Sessions's co-authors include Brian O. Diekman, Norman E. Sharpless, Irving M. Shapiro, Victoria A. Tran, Shira N. Johnston, Makarand V. Risbud, Emanuel J. Novais, Jessica A. Sorrentino, Brandon M. Hall and Andrei V. Gudkov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The FASEB Journal.

In The Last Decade

Garrett A. Sessions

7 papers receiving 714 citations

Hit 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.

Long-term treatment with senolytic drugs Dasatinib and Quercetin ameliorates age-dependent intervertebral disc degeneration in mice

2021 284 citations Emanuel J. Novais, Victoria A. Tran et al. Nature Communications profile →

Peers

Garrett A. Sessions

MB

PHYSI

RHEUM

IMMUN

PFM

Hao Deng China

Xiaomin Kang China

Zoltán Griger Hungary

Marta Varela-Eirín Spain

Christine Hachfeld United States

Jennifer L Onken United States

Martina Gluscevic United States

Yuanxin Zhu China

Katharine E. Armour United Kingdom

Kay McNamee United Kingdom

Hao Deng China

Garrett A. Sessions

211 ×0.7

MB

98 ×0.4

PHYSI

90 ×0.6

RHEUM

215 ×1.4

IMMUN

64 ×0.6

PFM

Citations per year, relative to Garrett A. Sessions Garrett A. Sessions (= 1×) peers Hao Deng

Countries citing papers authored by Garrett A. Sessions

Since Specialization

Citations

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

Fields of papers citing papers by Garrett A. Sessions

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Garrett A. Sessions. 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 Garrett A. Sessions. The network helps show where Garrett A. Sessions may publish in the future.

Co-authorship network of co-authors of Garrett A. Sessions

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

All Works

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7 of 7 papers shown

1.

Sessions, Garrett A., et al.. (2025). Multiplexed single-cell imaging reveals diverging subpopulations with distinct senescence phenotypes during long-term senescence induction. GeroScience. 47(3). 3891–3905. 1 indexed citations

2.

Chubinskaya, S., et al.. (2022). Comet assay for quantification of the increased DNA damage burden in primary human chondrocytes with aging and osteoarthritis. Aging Cell. 21(9). e13698–e13698. 24 indexed citations

3.

Novais, Emanuel J., Victoria A. Tran, Shira N. Johnston, et al.. (2021). Long-term treatment with senolytic drugs Dasatinib and Quercetin ameliorates age-dependent intervertebral disc degeneration in mice. Nature Communications. 12(1). 5213–5213. 284 indexed citations breakdown →

4.

Gilbertie, Jessica M., Garrett A. Sessions, Susan Chubinskaya, et al.. (2020). The combination of mitogenic stimulation and DNA damage induces chondrocyte senescence. Osteoarthritis and Cartilage. 29(3). 402–412. 24 indexed citations

5.

Souroullas, George P., Brian O. Diekman, Janakiraman Krishnamurthy, et al.. (2019). Cells exhibiting strong p16 ^INK4a promoter activation in vivo display features of senescence. Proceedings of the National Academy of Sciences. 116(7). 2603–2611. 230 indexed citations

6.

Sessions, Garrett A., et al.. (2019). Controlled induction and targeted elimination of p16 ^INK4a ‐expressing chondrocytes in cartilage explant culture. The FASEB Journal. 33(11). 12364–12373. 35 indexed citations

7.

Diekman, Brian O., Garrett A. Sessions, John A. Collins, et al.. (2018). Expression of p16^INK^4a is a biomarker of chondrocyte aging but does not cause osteoarthritis. Aging Cell. 17(4). e12771–e12771. 120 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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