Alyson Sujkowski

1.2k total citations
25 papers, 842 citations indexed

About

Alyson Sujkowski is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Alyson Sujkowski has authored 25 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Alyson Sujkowski's work include Neurobiology and Insect Physiology Research (10 papers), Genetic Neurodegenerative Diseases (9 papers) and Mitochondrial Function and Pathology (8 papers). Alyson Sujkowski is often cited by papers focused on Neurobiology and Insect Physiology Research (10 papers), Genetic Neurodegenerative Diseases (9 papers) and Mitochondrial Function and Pathology (8 papers). Alyson Sujkowski collaborates with scholars based in United States, India and South Korea. Alyson Sujkowski's co-authors include Robert Wessells, Sokol V. Todi, Tyler Cobb, Monica Driscoll, Jeffrey J. Saucerman, Mei Zhang, Peng Xu, Kyle L. Hoehn, Mary Anne Royal and Zhen Yan and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nano Letters.

In The Last Decade

Alyson Sujkowski

24 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alyson Sujkowski United States 15 388 303 198 136 134 25 842
Matthieu Y. Pasco France 11 482 1.2× 418 1.4× 243 1.2× 147 1.1× 534 4.0× 11 1.4k
Pin Xu United States 16 435 1.1× 267 0.9× 354 1.8× 95 0.7× 56 0.4× 31 1.1k
Barry Ganetzky United States 9 687 1.8× 406 1.3× 204 1.0× 51 0.4× 153 1.1× 10 1.1k
Elizabeth M. McNeill United States 12 575 1.5× 225 0.7× 68 0.3× 39 0.3× 27 0.2× 22 877
Elias Pavlopoulos United States 14 588 1.5× 274 0.9× 151 0.8× 34 0.3× 31 0.2× 15 943
Andrzej Z. Pietrzykowski United States 15 625 1.6× 333 1.1× 86 0.4× 36 0.3× 49 0.4× 24 1.0k
Daniela Rossi Italy 27 1.4k 3.5× 435 1.4× 221 1.1× 31 0.2× 69 0.5× 71 1.9k
Jennifer Spaethling United States 12 464 1.2× 320 1.1× 70 0.4× 21 0.2× 119 0.9× 12 847
Wen‐Hai Chou United States 13 370 1.0× 379 1.3× 49 0.2× 14 0.1× 69 0.5× 20 877
Maxim V. Ivannikov United States 11 600 1.5× 196 0.6× 157 0.8× 34 0.3× 36 0.3× 17 861

Countries citing papers authored by Alyson Sujkowski

Since Specialization
Citations

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

Fields of papers citing papers by Alyson Sujkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alyson Sujkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Alyson Sujkowski. A scholar is included among the top collaborators of Alyson Sujkowski 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 Alyson Sujkowski. Alyson Sujkowski 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.
Snider, Sarah F., et al.. (2025). A new Drosophila model of prolonged inactivity shortens lifespan and impairs muscle function. Scientific Reports. 15(1). 27908–27908.
2.
Sujkowski, Alyson, et al.. (2024). Progressive degeneration in a new Drosophila model of spinocerebellar ataxia type 7. Scientific Reports. 14(1). 14332–14332. 2 indexed citations
3.
Sujkowski, Alyson, et al.. (2023). A phenotypically robust model of spinal and bulbar muscular atrophy in Drosophila. Journal of Neuroscience Research. 102(1). e25278–e25278. 3 indexed citations
4.
Sujkowski, Alyson, et al.. (2022). Endurance exercise ameliorates phenotypes in Drosophila models of spinocerebellar ataxias. eLife. 11. 15 indexed citations
5.
Blount, Jessica R., et al.. (2021). Targeting the VCP-binding motif of ataxin-3 improves phenotypes in Drosophila models of Spinocerebellar Ataxia Type 3. Neurobiology of Disease. 160. 105516–105516. 10 indexed citations
6.
Sujkowski, Alyson & Robert Wessells. (2021). Exercise and Sestrin Mediate Speed and Lysosomal Activity in Drosophila by Partially Overlapping Mechanisms. Cells. 10(9). 2479–2479. 10 indexed citations
7.
Sujkowski, Alyson, et al.. (2021). The protective role of exercise against age-related neurodegeneration. Ageing Research Reviews. 74. 101543–101543. 93 indexed citations
8.
Kim, Myungjin, Alyson Sujkowski, Sim Namkoong, et al.. (2020). Sestrins are evolutionarily conserved mediators of exercise benefits. Nature Communications. 11(1). 190–190. 88 indexed citations
9.
Cobb, Tyler, et al.. (2020). Variation in mobility and exercise adaptations between Drosophila species. Journal of Comparative Physiology A. 206(4). 611–621. 8 indexed citations
10.
Sujkowski, Alyson, et al.. (2020). Alpha- and beta-adrenergic octopamine receptors in muscle and heart are required for Drosophila exercise adaptations. PLoS Genetics. 16(6). e1008778–e1008778. 24 indexed citations
11.
Sujkowski, Alyson, et al.. (2018). Mito-nuclear interactions modify Drosophila exercise performance. Mitochondrion. 47. 188–205. 14 indexed citations
12.
Sujkowski, Alyson & Robert Wessells. (2018). Using Drosophila to Understand Biochemical and Behavioral Responses to Exercise. Exercise and Sport Sciences Reviews. 46(2). 112–120. 38 indexed citations
13.
Cobb, Tyler, et al.. (2018). Drosophila Endurance Training and Assessment of Its Effects on Systemic Adaptations. BIO-PROTOCOL. 8(19). e3037–e3037. 23 indexed citations
14.
Sujkowski, Alyson, et al.. (2017). Octopamine Drives Endurance Exercise Adaptations in Drosophila. Cell Reports. 21(7). 1809–1823. 48 indexed citations
15.
Sujkowski, Alyson, et al.. (2015). Endurance exercise and selective breeding for longevity extend Drosophila healthspan by overlapping mechanisms. Aging. 7(8). 535–552. 59 indexed citations
16.
Dourlen, Pierre, Alyson Sujkowski, Robert Wessells, & Bertrand Mollereau. (2015). Fatty acid transport proteins in disease: New insights from invertebrate models. Progress in Lipid Research. 60. 30–40. 43 indexed citations
17.
Sujkowski, Alyson, Shirley Rainier, John K. Fink, & Robert Wessells. (2015). Delayed Induction of Human NTE (PNPLA6) Rescues Neurodegeneration and Mobility Defects of Drosophila swiss cheese (sws) Mutants. PLoS ONE. 10(12). e0145356–e0145356. 15 indexed citations
18.
Laker, Rhianna C., Peng Xu, Karen A. Ryall, et al.. (2014). A Novel MitoTimer Reporter Gene for Mitochondrial Content, Structure, Stress, and Damage in Vivo. Journal of Biological Chemistry. 289(17). 12005–12015. 195 indexed citations
19.
Healy, Lindsey, et al.. (2012). The Drosophila PGC-1α Homolog spargel Modulates the Physiological Effects of Endurance Exercise. PLoS ONE. 7(2). e31633–e31633. 56 indexed citations
20.
Sujkowski, Alyson, et al.. (2012). dFatp regulates nutrient distribution and long‐term physiology in Drosophila. Aging Cell. 11(6). 921–932. 29 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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