Ugur Dag

589 total citations
13 papers, 305 citations indexed

About

Ugur Dag is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Ugur Dag has authored 13 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Ugur Dag's work include Circadian rhythm and melatonin (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Ugur Dag is often cited by papers focused on Circadian rhythm and melatonin (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Ugur Dag collaborates with scholars based in United States, Austria and Türkiye. Ugur Dag's co-authors include Krystyna Keleman, Barbara K. Stepien, Sebastian Krüttner, Daniel Bushey, Xiaoliang Zhao, Barry J. Dickson, Allan M. Wong, Steven W. Flavell, Jasprina N. Noordermeer and Lee G. Fradkin and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ugur Dag

12 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ugur Dag United States 9 161 114 67 61 59 13 305
Karol Cichewicz United States 6 189 1.2× 86 0.8× 82 1.2× 56 0.9× 35 0.6× 8 293
Shintaro Naganos Japan 7 223 1.4× 72 0.6× 77 1.1× 45 0.7× 38 0.6× 11 297
Altar Sorkaç United States 6 203 1.3× 116 1.0× 80 1.2× 75 1.2× 65 1.1× 9 346
Jascha B. Pohl United States 7 266 1.7× 103 0.9× 77 1.1× 47 0.8× 35 0.6× 8 344
Yongjun Qian United States 4 234 1.5× 99 0.9× 78 1.2× 82 1.3× 25 0.4× 8 339
Richard Faville Australia 10 188 1.2× 87 0.8× 59 0.9× 85 1.4× 25 0.4× 12 354
Anna N. King United States 8 232 1.4× 148 1.3× 47 0.7× 130 2.1× 30 0.5× 10 360
Joshua A. Ainsley United States 8 240 1.5× 155 1.4× 59 0.9× 61 1.0× 27 0.5× 8 392
Yong Lee South Korea 4 313 1.9× 89 0.8× 96 1.4× 59 1.0× 31 0.5× 7 443
Gerit Arne Linneweber Germany 11 246 1.5× 111 1.0× 99 1.5× 41 0.7× 32 0.5× 14 388

Countries citing papers authored by Ugur Dag

Since Specialization
Citations

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

Fields of papers citing papers by Ugur Dag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ugur Dag

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

All Works

13 of 13 papers shown
1.
Dag, Ugur, et al.. (2025). Pathogen infection induces sickness behaviors through neuromodulators linked to stress and satiety in C. elegans. Nature Communications. 16(1). 3200–3200. 2 indexed citations
2.
Graeve, Fabienne De, Martina Hallegger, Ugur Dag, et al.. (2025). Axonal RNA localization is essential for long-term memory. Nature Communications. 16(1). 2560–2560.
3.
Kim, Jung Soo, Ziyu Wang, Saba Baskoylu, et al.. (2023). Brain-wide representations of behavior spanning multiple timescales and states in C. elegans. Cell. 186(19). 4134–4151.e31. 35 indexed citations
4.
Dag, Ugur, et al.. (2023). Dissecting the functional organization of the C. elegans serotonergic system at whole-brain scale. Cell. 186(12). 2574–2592.e20. 22 indexed citations
5.
McLachlan, Ian G., et al.. (2022). Diverse states and stimuli tune olfactory receptor expression levels to modulate food-seeking behavior. eLife. 11. 22 indexed citations
6.
Venugopal, Chitra, Ugur Dag, Sujeivan Mahendram, et al.. (2021). ETS-Domain Transcription Factor Elk-1 Regulates Stemness Genes in Brain Tumors and CD133+ BrainTumor-Initiating Cells. Journal of Personalized Medicine. 11(2). 125–125. 10 indexed citations
7.
8.
Zhao, Xiaoliang, et al.. (2018). Persistent activity in a recurrent circuit underlies courtship memory in Drosophila. eLife. 7. 47 indexed citations
10.
Stepien, Barbara K., Daniel Gerlach, Ugur Dag, et al.. (2016). RNA-binding profiles of Drosophila CPEB proteins Orb and Orb2. Proceedings of the National Academy of Sciences. 113(45). E7030–E7038. 42 indexed citations
11.
Krüttner, Sebastian, Lisa Traunmüller, Ugur Dag, et al.. (2015). Synaptic Orb2A Bridges Memory Acquisition and Late Memory Consolidation in Drosophila. Cell Reports. 11(12). 1953–1965. 59 indexed citations
12.
Çağlayan, Berrak, Barbara Hausott, Burcu Erdoğan, et al.. (2014). Pea3 transcription factor promotes neurite outgrowth. Frontiers in Molecular Neuroscience. 7. 59–59. 9 indexed citations
13.
Dag, Ugur, et al.. (2011). Identification of transcription factor binding sites in promoter databases. 68–73. 1 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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