Ravi Allada

8.3k total citations · 2 hit papers
71 papers, 5.7k citations indexed

About

Ravi Allada is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Ravi Allada has authored 71 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Endocrine and Autonomic Systems, 39 papers in Cellular and Molecular Neuroscience and 26 papers in Plant Science. Recurrent topics in Ravi Allada's work include Circadian rhythm and melatonin (55 papers), Neurobiology and Insect Physiology Research (35 papers) and Light effects on plants (17 papers). Ravi Allada is often cited by papers focused on Circadian rhythm and melatonin (55 papers), Neurobiology and Insect Physiology Research (35 papers) and Light effects on plants (17 papers). Ravi Allada collaborates with scholars based in United States, Bulgaria and South Korea. Ravi Allada's co-authors include Michael Rosbash, Brian Y. Chung, Kevin Keegan, Bridget C. Lear, Joseph Bass, W. Venus So, Valerie L. Kilman, Chunghun Lim, Jeffrey C. Hall and Luoying Zhang and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Ravi Allada

71 papers receiving 5.7k citations

Hit Papers

A Mutant Drosophila Homolog of Mammalian Clock Disrupts C... 1998 2026 2007 2016 1998 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ravi Allada United States 40 4.0k 3.0k 1.7k 902 819 71 5.7k
Yasufumi Shigeyoshi Japan 36 4.7k 1.2× 1.6k 0.5× 1.5k 0.9× 1.1k 1.2× 861 1.1× 103 6.1k
Paul E. Hardin United States 51 7.4k 1.8× 4.6k 1.5× 4.3k 2.5× 1.6k 1.8× 1.5k 1.8× 103 9.7k
David P. King United States 14 5.0k 1.2× 1.3k 0.4× 1.7k 1.0× 1.1k 1.2× 1.1k 1.3× 16 6.3k
Vincent M. Cassone United States 43 5.1k 1.3× 2.3k 0.8× 898 0.5× 1.2k 1.3× 359 0.4× 102 6.6k
Fred C. Davis United States 32 5.8k 1.4× 1.8k 0.6× 1.3k 0.7× 1.2k 1.3× 1.0k 1.3× 52 7.4k
Yoshitaka Fukada Japan 51 3.9k 1.0× 3.3k 1.1× 1.1k 0.6× 3.8k 4.3× 799 1.0× 186 8.0k
Martin R. Ralph Canada 34 5.0k 1.2× 2.1k 0.7× 869 0.5× 718 0.8× 665 0.8× 90 6.3k
Phillip L. Lowrey United States 11 5.7k 1.4× 1.5k 0.5× 1.8k 1.0× 864 1.0× 1.2k 1.5× 11 6.6k
Kazuhiro Shimomura United States 23 3.1k 0.8× 1.0k 0.3× 976 0.6× 667 0.7× 625 0.8× 55 4.2k
Michael N. Nitabach United States 37 1.9k 0.5× 2.7k 0.9× 670 0.4× 823 0.9× 487 0.6× 57 4.0k

Countries citing papers authored by Ravi Allada

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Allada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Allada

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Allada. A scholar is included among the top collaborators of Ravi Allada 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 Ravi Allada. Ravi Allada 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.
Hwangbo, Dae‐Sung, et al.. (2024). Temperature-driven coordination of circadian transcriptional regulation. PLoS Computational Biology. 20(4). e1012029–e1012029. 1 indexed citations
2.
Rosensweig, Clark, et al.. (2024). Circadian Clocks, Daily Stress, and Neurodegenerative Disease. Annual Review of Pathology Mechanisms of Disease. 20(1). 355–374. 2 indexed citations
3.
Rosensweig, Clark, et al.. (2022). SleepMat: a new behavioral analysis software program for sleep and circadian rhythms. SLEEP. 45(12). 6 indexed citations
4.
Alphen, Bart van, et al.. (2022). Glial immune-related pathways mediate effects of closed head traumatic brain injury on behavior and lethality in Drosophila. PLoS Biology. 20(1). e3001456–e3001456. 23 indexed citations
5.
Iwanaszko, Marta, et al.. (2020). TimeTrial: An Interactive Application for Optimizing the Design and Analysis of Transcriptomic Time-Series Data in Circadian Biology Research. Journal of Biological Rhythms. 35(5). 439–451. 12 indexed citations
6.
Hutchison, Alan L., Ravi Allada, & Aaron R. Dinner. (2018). Bootstrapping and Empirical Bayes Methods Improve Rhythm Detection in Sparsely Sampled Data. Journal of Biological Rhythms. 33(4). 339–349. 24 indexed citations
7.
Flourakis, Matthieu, Elżbieta Kula-Eversole, Alan L. Hutchison, et al.. (2015). A Conserved Bicycle Model for Circadian Clock Control of Membrane Excitability. Cell. 162(4). 836–848. 149 indexed citations
8.
Hutchison, Alan L., Mark Maienschein‐Cline, Andrew H. Chiang, et al.. (2015). Improved Statistical Methods Enable Greater Sensitivity in Rhythm Detection for Genome-Wide Data. PLoS Computational Biology. 11(3). e1004094–e1004094. 78 indexed citations
9.
Itoh, Taichi Q., et al.. (2015). Genetics of Circadian Rhythms. Sleep Medicine Clinics. 10(4). 413–421. 62 indexed citations
11.
Zhang, Luoying, Brian Y. Chung, Bridget C. Lear, et al.. (2010). DN1p Circadian Neurons Coordinate Acute Light and PDF Inputs to Produce Robust Daily Behavior in Drosophila. Current Biology. 20(7). 591–599. 133 indexed citations
12.
Lear, Bridget C., Luoying Zhang, & Ravi Allada. (2009). The Neuropeptide PDF Acts Directly on Evening Pacemaker Neurons to Regulate Multiple Features of Circadian Behavior. PLoS Biology. 7(7). e1000154–e1000154. 86 indexed citations
13.
Kilman, Valerie L., et al.. (2009). Perturbing Dynamin Reveals Potent Effects on the Drosophila Circadian Clock. PLoS ONE. 4(4). e5235–e5235. 27 indexed citations
14.
Paroush, Ze’ev, et al.. (2008). Drosophila CK2 phosphorylates Hairy and regulates its activity in vivo. Biochemical and Biophysical Research Communications. 373(4). 637–642. 6 indexed citations
15.
Sehgal, Amita & Ravi Allada. (2007). 19 Circadian Rhythms and Sleep. Cold Spring Harbor Monograph Archive. 49. 503–532. 20 indexed citations
16.
Zhang, Sophia, et al.. (2006). Drosophila CK2 regulates lateral-inhibition during eye and bristle development. Mechanisms of Development. 123(9). 649–664. 18 indexed citations
17.
Keegan, Kevin, et al.. (2006). A dynamic role for the mushroom bodies in promoting sleep in Drosophila. Nature. 441(7094). 753–756. 255 indexed citations
18.
Lear, Bridget C., et al.. (2005). A G Protein-Coupled Receptor, groom-of-PDF, Is Required for PDF Neuron Action in Circadian Behavior. Neuron. 48(2). 221–227. 187 indexed citations
19.
Zhao, Jie, Valerie L. Kilman, Kevin Keegan, et al.. (2003). Drosophila Clock Can Generate Ectopic Circadian Clocks. Cell. 113(6). 755–766. 104 indexed citations
20.
Terpenning, Margaret S., Ravi Allada, & Carol A. Kauffman. (1989). Intermittent Urethral Catheterization in the Elderly. Journal of the American Geriatrics Society. 37(5). 411–416. 21 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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