Divya Sitaraman

1.9k total citations
22 papers, 720 citations indexed

About

Divya Sitaraman is a scholar working on Cellular and Molecular Neuroscience, Genetics and Endocrine and Autonomic Systems. According to data from OpenAlex, Divya Sitaraman has authored 22 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 12 papers in Genetics and 8 papers in Endocrine and Autonomic Systems. Recurrent topics in Divya Sitaraman's work include Neurobiology and Insect Physiology Research (22 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Circadian rhythm and melatonin (8 papers). Divya Sitaraman is often cited by papers focused on Neurobiology and Insect Physiology Research (22 papers), Insect and Arachnid Ecology and Behavior (12 papers) and Circadian rhythm and melatonin (8 papers). Divya Sitaraman collaborates with scholars based in United States, Canada and China. Divya Sitaraman's co-authors include Troy Zars, Holly LaFerriere, Michael N. Nitabach, Melissa Zars, Yoshinori Aso, Gerald M. Rubin, George E. Rottinghaus, Toshihiro Kitamoto, Xin Jin and Nan Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current Biology.

In The Last Decade

Divya Sitaraman

22 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Divya Sitaraman United States 12 620 289 209 177 140 22 720
Kevin Mann United States 12 611 1.0× 214 0.7× 84 0.4× 185 1.0× 188 1.3× 14 759
Clifford B. Talbot United Kingdom 9 884 1.4× 400 1.4× 306 1.5× 215 1.2× 144 1.0× 10 1.1k
Maria P. Fernandez United States 13 697 1.1× 274 0.9× 435 2.1× 229 1.3× 132 0.9× 28 941
Kirsa Neuser Germany 8 669 1.1× 338 1.2× 86 0.4× 245 1.4× 162 1.2× 9 780
Jason Sih-Yu Lai United States 9 614 1.0× 258 0.9× 105 0.5× 168 0.9× 139 1.0× 10 743
Lily Kahsai Sweden 10 505 0.8× 217 0.8× 91 0.4× 124 0.7× 137 1.0× 14 594
Jinfei D Ni United States 8 530 0.9× 200 0.7× 133 0.6× 96 0.5× 173 1.2× 11 626
Mareike Selcho Germany 16 845 1.4× 424 1.5× 122 0.6× 258 1.5× 239 1.7× 22 941
Paola Cognigni United Kingdom 10 609 1.0× 253 0.9× 101 0.5× 168 0.9× 227 1.6× 14 834
Johannes Felsenberg Germany 12 763 1.2× 413 1.4× 80 0.4× 289 1.6× 203 1.4× 17 903

Countries citing papers authored by Divya Sitaraman

Since Specialization
Citations

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

Fields of papers citing papers by Divya Sitaraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divya Sitaraman

This figure shows the co-authorship network connecting the top 25 collaborators of Divya Sitaraman. A scholar is included among the top collaborators of Divya Sitaraman 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 Divya Sitaraman. Divya Sitaraman 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
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Vecsey, Christopher G., et al.. (2024). Analysis of Sleep and Circadian Rhythms fromDrosophilaActivity-Monitoring Data Using SCAMP. Cold Spring Harbor Protocols. 2024(11). pdb.prot108182–pdb.prot108182. 15 indexed citations
4.
Vecsey, Christopher G., et al.. (2024). Neural Stimulation duringDrosophilaActivity Monitor (DAM)-Based Studies of Sleep and Circadian Rhythms inDrosophila melanogaster. Cold Spring Harbor Protocols. 2024(11). pdb.prot108180–pdb.prot108180. 3 indexed citations
5.
Sitaraman, Divya, et al.. (2024). Activity Monitoring for Analysis of Sleep inDrosophila melanogaster. Cold Spring Harbor Protocols. 2024(11). pdb.top108095–pdb.top108095. 6 indexed citations
6.
Nguyen, Amanda, et al.. (2021). Compartment specific regulation of sleep by mushroom body requires GABA and dopaminergic signaling. Scientific Reports. 11(1). 20067–20067. 11 indexed citations
7.
Little, Alex G., Matthew E. Pamenter, Divya Sitaraman, et al.. (2021). Utilizing comparative models in biomedical research. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 255. 110593–110593. 7 indexed citations
8.
Sitaraman, Divya, et al.. (2021). Sleep correlates with behavioral decision making critical for reproductive output in Drosophila melanogaster. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 264. 111114–111114. 4 indexed citations
9.
Hyland, Callen, et al.. (2019). Measurement of Sleep and Arousal in Drosophila. BIO-PROTOCOL. 9(12). 6 indexed citations
10.
Sitaraman, Divya & Holly LaFerriere. (2019). Finding a place and leaving a mark in memory formation. Journal of Neurogenetics. 34(1). 21–27. 1 indexed citations
11.
Fain, Kevin M., et al.. (2018). Aversive and Appetitive Learning in Drosophila Larvae: A Simple and Powerful Suite of Laboratory Modules for Classroom or Open-ended Research Projects.. PubMed. 16(2). A177–A185. 1 indexed citations
12.
King, Anna N., Annika F. Barber, Divya Sitaraman, et al.. (2017). A Peptidergic Circuit Links the Circadian Clock to Locomotor Activity. Current Biology. 27(13). 1915–1927.e5. 65 indexed citations
13.
Chen, Dandan, Divya Sitaraman, Nan Chen, et al.. (2017). Genetic and neuronal mechanisms governing the sex-specific interaction between sleep and sexual behaviors in Drosophila. Nature Communications. 8(1). 154–154. 73 indexed citations
14.
Sitaraman, Divya, et al.. (2017). Discrete Serotonin Systems Mediate Memory Enhancement and Escape Latencies after Unpredicted Aversive Experience in Drosophila Place Memory. Frontiers in Systems Neuroscience. 11. 92–92. 12 indexed citations
15.
Sitaraman, Divya, Yoshinori Aso, Xin Jin, et al.. (2015). Propagation of Homeostatic Sleep Signals by Segregated Synaptic Microcircuits of the Drosophila Mushroom Body. Current Biology. 25(22). 2915–2927. 101 indexed citations
16.
Sitaraman, Divya, Yoshinori Aso, Gerald M. Rubin, & Michael N. Nitabach. (2015). Control of Sleep by Dopaminergic Inputs to the Drosophila Mushroom Body. Frontiers in Neural Circuits. 9. 73–73. 61 indexed citations
17.
Sitaraman, Divya, Holly LaFerriere, Serge Birman, & Troy Zars. (2012). Serotonin is Critical for Rewarded Olfactory Short-Term Memory in Drosophila. Journal of Neurogenetics. 26(2). 238–244. 53 indexed citations
18.
Sitaraman, Divya, Melissa Zars, & Troy Zars. (2010). Place memory formation in Drosophila is independent of proper octopamine signaling. Journal of Comparative Physiology A. 196(4). 299–305. 15 indexed citations
19.
Sitaraman, Divya & Troy Zars. (2010). Lack of prediction for high-temperature exposures enhances Drosophila place learning. Journal of Experimental Biology. 213(23). 4018–4022. 10 indexed citations
20.
Sitaraman, Divya, Melissa Zars, & Troy Zars. (2007). Reinforcement pre-exposure enhances spatial memory formation in Drosophila. Journal of Comparative Physiology A. 193(8). 903–908. 16 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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