Andrew V. Samuelson

1.5k total citations · 1 hit paper
19 papers, 1.2k citations indexed

About

Andrew V. Samuelson is a scholar working on Aging, Molecular Biology and Physiology. According to data from OpenAlex, Andrew V. Samuelson has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aging, 6 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Andrew V. Samuelson's work include Genetics, Aging, and Longevity in Model Organisms (14 papers), Circadian rhythm and melatonin (5 papers) and Virus-based gene therapy research (4 papers). Andrew V. Samuelson is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (14 papers), Circadian rhythm and melatonin (5 papers) and Virus-based gene therapy research (4 papers). Andrew V. Samuelson collaborates with scholars based in United States, Germany and India. Andrew V. Samuelson's co-authors include Gary Ruvkun, Christopher E. Carr, Mila E. McCurrach, Elisa de Stanchina, Carol Prives, Sheau-Yann Shieh, Scott W. Lowe, Scott Lowe, Gerardo Ferbeyre and Frédérique Zindy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Andrew V. Samuelson

18 papers receiving 1.2k citations

Hit Papers

E1A signaling to p53 involves the p19ARFtumor suppressor 1998 2026 2007 2016 1998 100 200 300 400 500
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.

  1. E1A signaling to p53 involves the p19ARFtumor suppressor
    1998 518 citations Elisa de Stanchina, Mila E. McCurrach et al. Genes & Development profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew V. Samuelson United States 10 808 513 259 169 151 19 1.2k
Ashley B. Williams United States 11 581 0.7× 220 0.4× 110 0.4× 111 0.7× 70 0.5× 16 858
Michael Witcher Canada 21 1.3k 1.6× 267 0.5× 54 0.2× 130 0.8× 90 0.6× 37 1.6k
Ee Tsin Wong Singapore 18 892 1.1× 347 0.7× 25 0.1× 74 0.4× 247 1.6× 24 1.4k
Troy A. A. Harkness Canada 19 1.2k 1.4× 106 0.2× 263 1.0× 60 0.4× 136 0.9× 49 1.4k
Alfred May United States 22 1.5k 1.8× 280 0.5× 122 0.5× 132 0.8× 298 2.0× 33 1.7k
Beverley M. Dancy United States 12 883 1.1× 142 0.3× 118 0.5× 49 0.3× 83 0.5× 13 1.1k
Anne Camirand Canada 24 787 1.0× 358 0.7× 24 0.1× 92 0.5× 289 1.9× 43 1.5k
Feng Qiao United States 18 1.0k 1.3× 122 0.2× 45 0.2× 104 0.6× 268 1.8× 39 1.4k
Benjamin Barré France 20 851 1.1× 410 0.8× 26 0.1× 138 0.8× 81 0.5× 30 1.4k
Amy K. Walker United States 19 1.1k 1.3× 66 0.1× 536 2.1× 119 0.7× 202 1.3× 29 1.6k

Countries citing papers authored by Andrew V. Samuelson

Since Specialization
Citations

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

Fields of papers citing papers by Andrew V. Samuelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew V. Samuelson. 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 Andrew V. Samuelson. The network helps show where Andrew V. Samuelson may publish in the future.

Co-authorship network of co-authors of Andrew V. Samuelson

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

All Works

19 of 19 papers shown
1.
2.
Cornwell, Adam, et al.. (2024). The C. elegans Myc-family of transcription factors coordinate a dynamic adaptive response to dietary restriction. GeroScience. 46(5). 4827–4854. 1 indexed citations
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4.
Cornwell, Adam, et al.. (2022). The Replica Set Method is a Robust, Accurate, and High-Throughput Approach for Assessing and Comparing Lifespan in C. elegans Experiments. SHILAP Revista de lepidopterología. 3. 861701–861701. 1 indexed citations
5.
Merrill, Alyssa, et al.. (2022). HSF-1: Guardian of the Proteome Through Integration of Longevity Signals to the Proteostatic Network. SHILAP Revista de lepidopterología. 3. 861686–861686. 9 indexed citations
6.
Cornwell, Adam, et al.. (2021). Quantifying Tissue-Specific Proteostatic Decline in <em>Caenorhabditis elegans</em>. Journal of Visualized Experiments. 5 indexed citations
7.
Cornwell, Adam & Andrew V. Samuelson. (2020). Analysis of Lifespan in C. elegans: Low- and High-Throughput Approaches. Methods in molecular biology. 2144. 7–27. 5 indexed citations
8.
Cornwell, Adam, et al.. (2018). The Replica Set Method: A High-throughput Approach to Quantitatively Measure <em>Caenorhabditis elegans</em> Lifespan. Journal of Visualized Experiments. 6 indexed citations
9.
Cornwell, Adam, et al.. (2018). The Replica Set Method: A High-throughput Approach to Quantitatively Measure <em>Caenorhabditis elegans</em> Lifespan. Journal of Visualized Experiments. 1 indexed citations
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Sasaki, Tomoyuki, Shanshan Lian, Alam Khan, et al.. (2016). Autolysosome biogenesis and developmental senescence are regulated by both Spns1 and v-ATPase. Autophagy. 13(2). 386–403. 52 indexed citations
12.
Johnson, David W., et al.. (2014). The Caenorhabditis elegans Myc-Mondo/Mad Complexes Integrate Diverse Longevity Signals. PLoS Genetics. 10(4). e1004278–e1004278. 39 indexed citations
13.
Sykiotis, Gerasimos P., Ioannis Habeos, Andrew V. Samuelson, & Dirk Bohmann. (2010). The role of the antioxidant and longevity-promoting Nrf2 pathway in metabolic regulation. Current Opinion in Clinical Nutrition & Metabolic Care. 14(1). 41–48. 185 indexed citations
14.
Chakraborty, Abhishek A., Andrew V. Samuelson, Masako Narita, et al.. (2008). Adenovirus E1A targets p400 to induce the cellular oncoprotein Myc. Proceedings of the National Academy of Sciences. 105(16). 6103–6108. 31 indexed citations
15.
Samuelson, Andrew V., R. R. Klimczak, D B Thompson, Christopher E. Carr, & Gary Ruvkun. (2007). Identification ofCaenorhabditis elegansGenes Regulating Longevity Using Enhanced RNAi-sensitive Strains. Cold Spring Harbor Symposia on Quantitative Biology. 72(1). 489–497. 23 indexed citations
16.
Samuelson, Andrew V., Christopher E. Carr, & Gary Ruvkun. (2007). Gene activities that mediate increased life span of C. elegans insulin-like signaling mutants. Genes & Development. 21(22). 2976–2994. 160 indexed citations
17.
Samuelson, Andrew V., Masako Narita, Jianping Jin, et al.. (2005). p400 Is Required for E1A to Promote Apoptosis. Journal of Biological Chemistry. 280(23). 21915–21923. 43 indexed citations
18.
Stanchina, Elisa de, Mila E. McCurrach, Frédérique Zindy, et al.. (1998). E1A signaling to p53 involves the p19ARFtumor suppressor. Genes & Development. 12(15). 2434–2442. 518 indexed citations breakdown →
19.
Samuelson, Andrew V. & Scott W. Lowe. (1997). Selective induction of p53 and chemosensitivity in RB-deficient cells by E1A mutants unable to bind the RB-related proteins. Proceedings of the National Academy of Sciences. 94(22). 12094–12099. 87 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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