Stanislav Nagy

1.3k total citations
26 papers, 772 citations indexed

About

Stanislav Nagy is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Aging. According to data from OpenAlex, Stanislav Nagy has authored 26 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 11 papers in Endocrine and Autonomic Systems and 10 papers in Aging. Recurrent topics in Stanislav Nagy's work include Circadian rhythm and melatonin (10 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers) and Neurobiology and Insect Physiology Research (7 papers). Stanislav Nagy is often cited by papers focused on Circadian rhythm and melatonin (10 papers), Genetics, Aging, and Longevity in Model Organisms (10 papers) and Neurobiology and Insect Physiology Research (7 papers). Stanislav Nagy collaborates with scholars based in United States, Denmark and Sweden. Stanislav Nagy's co-authors include David Biron, Ronald S. Rock, Kim Rewitz, Michael J. Texada, Kenneth A. Halberg, Shachar Iwanir, Takashi Koyama, Alina Malita, Charles S. Wright and Crista M. Brawley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Stanislav Nagy

25 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stanislav Nagy United States 18 269 264 253 242 131 26 772
Andy J. Chang United States 9 640 2.4× 224 0.8× 532 2.1× 255 1.1× 71 0.5× 10 1.2k
Colin Thacker Canada 17 426 1.6× 245 0.9× 200 0.8× 530 2.2× 102 0.8× 19 1.2k
Jonathan D. Clayton United Kingdom 10 185 0.7× 194 0.7× 637 2.5× 281 1.2× 41 0.3× 11 981
Angie Duke United States 11 302 1.1× 134 0.5× 147 0.6× 286 1.2× 69 0.5× 15 577
Lijun Kang China 18 532 2.0× 390 1.5× 400 1.6× 506 2.1× 216 1.6× 43 1.3k
Ravi D. Nath United States 7 162 0.6× 135 0.5× 164 0.6× 208 0.9× 38 0.3× 8 602
Ken Dawson‐Scully United States 20 137 0.5× 494 1.9× 84 0.3× 414 1.7× 174 1.3× 41 1.0k
Noëlle D. L’Étoile United States 19 682 2.5× 338 1.3× 474 1.9× 661 2.7× 99 0.8× 30 1.4k
Stephen Nurrish United Kingdom 13 439 1.6× 205 0.8× 265 1.0× 494 2.0× 178 1.4× 22 938

Countries citing papers authored by Stanislav Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Stanislav Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stanislav Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Stanislav Nagy. A scholar is included among the top collaborators of Stanislav Nagy 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 Stanislav Nagy. Stanislav Nagy 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.
Kubrak, Olga, et al.. (2025). Gut hormone signaling drives sex differences in metabolism and behavior. Molecular Metabolism. 103. 102312–102312.
2.
Kubrak, Olga, Alina Malita, Takashi Koyama, et al.. (2025). Protein-responsive gut hormone tachykinin directs food choice and impacts lifespan. Nature Metabolism. 7(6). 1223–1245. 5 indexed citations
3.
Kubrak, Olga, Takashi Koyama, Stanislav Nagy, et al.. (2024). LGR signaling mediates muscle-adipose tissue crosstalk and protects against diet-induced insulin resistance. Nature Communications. 15(1). 6126–6126. 7 indexed citations
4.
Kubrak, Olga, Takashi Koyama, Line Jensen, et al.. (2022). The gut hormone Allatostatin C/Somatostatin regulates food intake and metabolic homeostasis under nutrient stress. Nature Communications. 13(1). 692–692. 39 indexed citations
5.
Malita, Alina, Olga Kubrak, Takashi Koyama, et al.. (2022). A gut-derived hormone suppresses sugar appetite and regulates food choice in Drosophila. Nature Metabolism. 4(11). 1532–1550. 36 indexed citations
6.
Koyama, Takashi, Selim Terhzaz, Stanislav Nagy, et al.. (2021). A nutrient-responsive hormonal circuit mediates an inter-tissue program regulating metabolic homeostasis in adult Drosophila. Nature Communications. 12(1). 5178–5178. 26 indexed citations
7.
Koyama, Takashi, Stanislav Nagy, E. Thomas Danielsen, et al.. (2020). Ecdysone-dependent feedback regulation of prothoracicotropic hormone controls the timing of developmental maturation. Development. 147(14). 18 indexed citations
8.
Malita, Alina, Stanislav Nagy, Takashi Koyama, et al.. (2020). Analysis of genes within the schizophrenia-linked 22q11.2 deletion identifies interaction of night owl/LZTR1 and NF1 in GABAergic sleep control. PLoS Genetics. 16(4). e1008727–e1008727. 24 indexed citations
9.
Texada, Michael J., Alina Malita, Nils J. Færgeman, et al.. (2019). Autophagy-Mediated Cholesterol Trafficking Controls Steroid Production. Developmental Cell. 48(5). 659–671.e4. 54 indexed citations
10.
Nagy, Stanislav, et al.. (2018). AMPK signaling linked to the schizophrenia-associated 1q21.1 deletion is required for neuronal and sleep maintenance. PLoS Genetics. 14(12). e1007623–e1007623. 23 indexed citations
11.
Moeller, Morten E., et al.. (2017). Warts Signaling Controls Organ and Body Growth through Regulation of Ecdysone. Current Biology. 27(11). 1652–1659.e4. 38 indexed citations
12.
Iwanir, Shachar, Stanislav Nagy, Kyung Suk Lee, et al.. (2016). Serotonin promotes exploitation in complex environments by accelerating decision-making. BMC Biology. 14(1). 9–9. 35 indexed citations
13.
Kanteti, Rajani, Essam El‐Hashani, Jacob Riehm, et al.. (2015). C. elegansand mutants with chronic nicotine exposure as a novel model of cancer phenotype. Cancer Biology & Therapy. 17(1). 91–103. 4 indexed citations
14.
Nagy, Stanislav, et al.. (2015). Caenorhabditis elegans exhibit a coupling between the defecation motor program and directed locomotion. Scientific Reports. 5(1). 17174–17174. 17 indexed citations
15.
Nagy, Stanislav, et al.. (2015). A Generative Statistical Algorithm for Automatic Detection of Complex Postures. PLoS Computational Biology. 11(10). e1004517–e1004517. 16 indexed citations
16.
Oppenheimer, Naomi, et al.. (2014). Why Do Sleeping Nematodes Adopt a Hockey-Stick-Like Posture?. PLoS ONE. 9(7). e101162–e101162. 17 indexed citations
17.
Nagy, Stanislav, David M. Raizen, & David Biron. (2014). Measurements of behavioral quiescence in Caenorhabditis elegans. Methods. 68(3). 500–507. 37 indexed citations
18.
Nagy, Stanislav, et al.. (2014). Homeostasis in C. elegans sleep is characterized by two behaviorally and genetically distinct mechanisms. eLife. 3. e04380–e04380. 51 indexed citations
19.
Nagy, Stanislav, et al.. (2013). The Caenorhabditis elegans interneuron ALA is (also) a high-threshold mechanosensor. BMC Neuroscience. 14(1). 156–156. 28 indexed citations
20.
Nagy, Stanislav & Ronald S. Rock. (2010). Structured Post-IQ Domain Governs Selectivity of Myosin X for Fascin-Actin Bundles. Journal of Biological Chemistry. 285(34). 26608–26617. 31 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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