John Tower

8.2k total citations
105 papers, 6.4k citations indexed

About

John Tower is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, John Tower has authored 105 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 60 papers in Aging and 25 papers in Cellular and Molecular Neuroscience. Recurrent topics in John Tower's work include Genetics, Aging, and Longevity in Model Organisms (60 papers), Neurobiology and Insect Physiology Research (25 papers) and Invertebrate Immune Response Mechanisms (15 papers). John Tower is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (60 papers), Neurobiology and Insect Physiology Research (25 papers) and Invertebrate Immune Response Mechanisms (15 papers). John Tower collaborates with scholars based in United States, United Kingdom and China. John Tower's co-authors include Gary N. Landis, Barbara Sollner-Webb, Jing‐Tao Sun, Kelvin J.A. Davies, Jie Shen, Simon Tavaré, Steven E. Finkel, J. C. Wheeler, Timothy J. Bradley and Donna G. Folk and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

John Tower

103 papers receiving 6.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Tower 3.7k 2.1k 994 788 772 105 6.4k
Stephen L. Helfand 4.2k 1.1× 2.7k 1.3× 1.6k 1.6× 2.1k 2.6× 771 1.0× 84 8.8k
David W. Walker 2.6k 0.7× 1.7k 0.8× 641 0.6× 1.1k 1.5× 377 0.5× 77 5.5k
Scott D. Pletcher 2.0k 0.5× 3.2k 1.5× 1.7k 1.7× 1.5k 1.9× 1.1k 1.5× 92 7.0k
Lea Sistonen 9.5k 2.6× 1.3k 0.6× 511 0.5× 1.2k 1.5× 665 0.9× 137 11.8k
Adam Antebi 3.4k 0.9× 4.0k 1.9× 534 0.5× 1.3k 1.6× 581 0.8× 106 7.7k
William B. Mair 3.9k 1.0× 2.7k 1.3× 544 0.5× 2.1k 2.7× 326 0.4× 51 7.8k
Mingyao Yang 2.5k 0.7× 476 0.2× 1.1k 1.1× 457 0.6× 577 0.7× 110 4.4k
David Hirsh 5.8k 1.6× 5.1k 2.4× 403 0.4× 1.0k 1.3× 1.2k 1.5× 85 9.8k
Howard T. Jacobs 9.5k 2.6× 890 0.4× 831 0.8× 1.4k 1.7× 795 1.0× 200 12.2k
Blanka Rogina 1.6k 0.4× 2.1k 1.0× 565 0.6× 1.5k 1.9× 262 0.3× 60 4.6k

Countries citing papers authored by John Tower

Since Specialization
Citations

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

Fields of papers citing papers by John Tower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Tower

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

All Works

20 of 20 papers shown
1.
Nagrath, Sunitha, et al.. (2025). Machine Learning Scoring Reveals Increased Frequency of Falls Proximal to Death in Drosophila melanogaster. The Journals of Gerontology Series A. 80(6).
2.
Tower, John. (2023). Markers and mechanisms of death in Drosophila. SHILAP Revista de lepidopterología. 4. 1292040–1292040. 4 indexed citations
3.
Tower, John, et al.. (2019). Behavioral and molecular markers of death in Drosophila melanogaster. Experimental Gerontology. 126. 110707–110707. 9 indexed citations
4.
Pomatto, Laura C.D., Sarah Wong, John Tower, & Kelvin J.A. Davies. (2018). Sex-specific adaptive homeostasis in D. melanogaster depends on increased proteolysis by the 20S Proteasome: Data-in-Brief. Data in Brief. 17. 653–661. 6 indexed citations
5.
Pomatto, Laura C.D., Sarah Wong, John Tower, & Kelvin J.A. Davies. (2017). Sexual dimorphism in oxidant-induced adaptive homeostasis in multiple wild-type D. melanogaster strains. Archives of Biochemistry and Biophysics. 636. 57–70. 12 indexed citations
6.
Kurmangaliyev, Yerbol Z., Alexander V. Favorov, Kjong-Van Lehmann, et al.. (2015). Natural variation of gene models in Drosophila melanogaster. BMC Genomics. 16(1). 198–198. 5 indexed citations
7.
Tower, John. (2014). Mitochondrial maintenance failure in aging and role of sexual dimorphism. Archives of Biochemistry and Biophysics. 576. 17–31. 59 indexed citations
8.
Tower, John, et al.. (2013). Variegated Expression of Hsp22 Transgenic Reporters Indicates Cell-specific Patterns of Aging in Drosophila Oenocytes. The Journals of Gerontology Series A. 69A(3). 253–259. 16 indexed citations
9.
Pickering, Andrew M., et al.. (2012). A conserved role for the 20S proteasome and Nrf2 transcription factor in oxidative-stress adaptation in mammals, C. elegans and D. melanogaster. Journal of Experimental Biology. 216(Pt 4). 543–53. 83 indexed citations
10.
Tower, John. (2010). Heat shock proteins and Drosophila aging. Experimental Gerontology. 46(5). 355–362. 131 indexed citations
11.
Tower, John & Michelle N Arbeitman. (2009). The genetics of gender and life span. Journal of Biology. 8(4). 38–38. 59 indexed citations
12.
Partridge, Linda & John Tower. (2008). 11 Yeast, a Feast: The Fruit Fly Drosophila as a Model Organism for Research into Aging. Cold Spring Harbor Monograph Archive. 51. 267–308. 13 indexed citations
13.
Li, Yishi & John Tower. (2008). Adult-specific over-expression of the Drosophila genes magu and hebe increases life span and modulates late-age female fecundity. Molecular Genetics and Genomics. 281(2). 147–162. 18 indexed citations
14.
Curtis, Christina, Gary N. Landis, Donna G. Folk, et al.. (2007). Transcriptional profiling of MnSOD-mediated lifespan extension in Drosophilareveals a species-general network of aging and metabolic genes. Genome biology. 8(12). 93–93. 111 indexed citations
15.
Webster, Paul, et al.. (2007). Increased Internal and External Bacterial Load during Drosophila Aging without Life-Span Trade-Off. Cell Metabolism. 6(2). 144–152. 270 indexed citations
16.
Allikian, Michael J., et al.. (2002). Doxycycline-induced expression of sense and inverted-repeat constructs modulates phosphogluconate mutase (Pgm) gene expression in adult Drosophila melanogaster. Genome biology. 3(5). research0021–research0021. 16 indexed citations
17.
Tower, John, et al.. (1999). Aging-Specific Expression ofDrosophila hsp22. Developmental Biology. 207(1). 107–118. 97 indexed citations
18.
Lu, Lucy & John Tower. (1997). A Transcriptional Insulator Element, the su(Hw) Binding Site, Protects a Chromosomal DNA Replication Origin from Position Effects. Molecular and Cellular Biology. 17(4). 2202–2206. 45 indexed citations
19.
Tower, John, et al.. (1994). Preferential transposition of aDrosophila P element to the corresponding region of the homologous chromosome. Molecular and General Genetics MGG. 244(5). 484–490. 13 indexed citations
20.
Tower, John & Barbara Sollner-Webb. (1988). Polymerase III Transcription Factor B Activity is Reduced in Extracts of Growth-Restricted Cells. Molecular and Cellular Biology. 8(2). 1001–1005. 2 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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