Raag D. Airan

5.2k total citations · 3 hit papers
43 papers, 3.7k citations indexed

About

Raag D. Airan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Raag D. Airan has authored 43 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Cognitive Neuroscience and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Raag D. Airan's work include Advanced MRI Techniques and Applications (13 papers), Neural dynamics and brain function (11 papers) and Ultrasound and Hyperthermia Applications (10 papers). Raag D. Airan is often cited by papers focused on Advanced MRI Techniques and Applications (13 papers), Neural dynamics and brain function (11 papers) and Ultrasound and Hyperthermia Applications (10 papers). Raag D. Airan collaborates with scholars based in United States, China and Germany. Raag D. Airan's co-authors include Karl Deisseroth, Lief E. Fenno, Hannah L. Bernstein, Kimberly R. Thompson, Luı́s de Lecea, Antoine Adamantidis, Viviana Gradinaru, Feng Zhang, Robert C. Malenka and Lisa A. Gunaydin and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Raag D. Airan

42 papers receiving 3.6k citations

Hit Papers

Natural Neural Projection... 2009 2026 2014 2020 2014 2009 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raag D. Airan United States 24 1.9k 1.1k 799 622 581 43 3.7k
Michelle M. Adams United States 32 1.2k 0.7× 2.8k 2.5× 775 1.0× 319 0.5× 585 1.0× 62 5.9k
Hirotaka Onoe Japan 43 1.9k 1.0× 1.5k 1.3× 2.5k 3.2× 730 1.2× 576 1.0× 171 7.0k
Joanna Mattis United States 17 3.1k 1.7× 1.7k 1.5× 1.5k 1.9× 185 0.3× 749 1.3× 23 5.1k
Sung‐Yon Kim South Korea 22 2.3k 1.2× 1.6k 1.4× 1.5k 1.9× 258 0.4× 852 1.5× 35 5.8k
Yi Zuo United States 35 3.6k 1.9× 1.7k 1.5× 1.7k 2.1× 167 0.3× 610 1.0× 77 7.8k
Kenji F. Tanaka Japan 46 3.8k 2.0× 2.1k 1.8× 3.0k 3.7× 286 0.5× 582 1.0× 201 9.2k
Emily Ferenczi United States 17 2.2k 1.2× 1.4k 1.2× 662 0.8× 128 0.2× 445 0.8× 29 3.6k
Julie J. Mirzabekov United States 6 2.2k 1.2× 1.4k 1.3× 1.3k 1.6× 206 0.3× 478 0.8× 6 4.5k
Joel M. Stein United States 38 1.0k 0.6× 1.9k 1.6× 1.0k 1.3× 470 0.8× 442 0.8× 98 4.2k
Thomas J. McHugh Japan 37 4.2k 2.3× 3.5k 3.1× 1.3k 1.7× 129 0.2× 735 1.3× 94 7.5k

Countries citing papers authored by Raag D. Airan

Since Specialization
Citations

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

Fields of papers citing papers by Raag D. Airan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raag D. Airan. 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 Raag D. Airan. The network helps show where Raag D. Airan may publish in the future.

Co-authorship network of co-authors of Raag D. Airan

This figure shows the co-authorship network connecting the top 25 collaborators of Raag D. Airan. A scholar is included among the top collaborators of Raag D. Airan 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 Raag D. Airan. Raag D. Airan 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
2.
Airan, Raag D., et al.. (2025). Ketamine-induced static and dynamic functional connectivity changes are modulated by opioid receptors and biological sex in rats. Neuropsychopharmacology. 50(11). 1695–1705. 1 indexed citations
3.
Purohit, Mahaveer P., et al.. (2025). Acoustically activatable liposomes as a translational nanotechnology for site-targeted drug delivery and noninvasive neuromodulation. Nature Nanotechnology. 20(11). 1688–1699. 2 indexed citations
4.
Murphy, Keith R., Jordan S. Farrell, Anish Mitra, et al.. (2024). Optimized ultrasound neuromodulation for non-invasive control of behavior and physiology. Neuron. 112(19). 3252–3266.e5. 35 indexed citations
5.
Thaler, Christian J., Qiyuan Tian, Max Wintermark, et al.. (2022). Changes in the Cerebello-Thalamo-Cortical Network After Magnetic Resonance-Guided Focused Ultrasound Thalamotomy. Brain Connectivity. 13(1). 28–38. 6 indexed citations
6.
Levinstein, Marjorie R., Tommaso Di Ianni, Juan L. Gomez, et al.. (2022). Mu Opioid Receptor Activation Mediates (S)-ketamine Reinforcement in Rats: Implications for Abuse Liability. Biological Psychiatry. 93(12). 1118–1126. 33 indexed citations
7.
Aryal, Muna, et al.. (2022). Noninvasive ultrasonic induction of cerebrospinal fluid flow enhances intrathecal drug delivery. Journal of Controlled Release. 349. 434–442. 30 indexed citations
8.
Li, Ningrui, Kendra J. Lechtenberg, Jarrett Rosenberg, et al.. (2020). Histologic evaluation of activation of acute inflammatory response in a mouse model following ultrasound-mediated blood-brain barrier using different acoustic pressures and microbubble doses. Nanotheranostics. 4(4). 210–223. 21 indexed citations
9.
Airan, Raag D.. (2020). Stimulating brain drug delivery. Science Translational Medicine. 12(564). 1 indexed citations
10.
Wang, Jeffrey B., Tommaso Di Ianni, Zhenbo Huang, et al.. (2020). Focused Ultrasound for Noninvasive, Focal Pharmacologic Neurointervention. Frontiers in Neuroscience. 14. 675–675. 29 indexed citations
11.
Miao, Xinyuan, Yuankui Wu, Dapeng Liu, et al.. (2019). Whole-Brain Functional and Diffusion Tensor MRI in Human Participants with Metallic Orthodontic Braces. Radiology. 294(1). 149–157. 15 indexed citations
12.
Zhong, Qian, Byung Chul Yoon, Muna Aryal, et al.. (2019). Polymeric perfluorocarbon nanoemulsions are ultrasound-activated wireless drug infusion catheters. Biomaterials. 206. 73–86. 35 indexed citations
13.
Wang, Jeffrey B., et al.. (2018). Noninvasive Ultrasonic Drug Uncaging Maps Whole-Brain Functional Networks. Neuron. 100(3). 728–738.e7. 69 indexed citations
14.
Yahyavi‐Firouz‐Abadi, Noushin, Jay J. Pillai, Martin A. Lindquist, et al.. (2017). Presurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRI. American Journal of Neuroradiology. 38(5). 1006–1012. 18 indexed citations
15.
Agarwal, Shruti, Haris I. Sair, Raag D. Airan, et al.. (2016). Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field. Brain Connectivity. 6(4). 267–272. 30 indexed citations
16.
Airan, Raag D., Catherine A. Foss, Nicholas Ellens, et al.. (2016). MR-Guided Delivery of Hydrophilic Molecular Imaging Agents Across the Blood-Brain Barrier Through Focused Ultrasound. Molecular Imaging and Biology. 19(1). 24–30. 11 indexed citations
17.
Gunaydin, Lisa A., Logan Grosenick, Joel Finkelstein, et al.. (2014). Natural Neural Projection Dynamics Underlying Social Behavior. Cell. 157(7). 1535–1551. 973 indexed citations breakdown →
18.
Coughlin, Jennifer M., Yuchuan Wang, Cynthia A. Munro, et al.. (2014). Neuroinflammation and brain atrophy in former NFL players: An in vivo multimodal imaging pilot study. Neurobiology of Disease. 74. 58–65. 175 indexed citations
19.
Airan, Raag D., Amnon Bar‐Shir, Guanshu Liu, et al.. (2012). MRI biosensor for protein kinase A encoded by a single synthetic gene. Magnetic Resonance in Medicine. 68(6). 1919–1923. 49 indexed citations
20.
Airan, Raag D., Leslie Meltzer, Madhuri Roy, et al.. (2007). High-Speed Imaging Reveals Neurophysiological Links to Behavior in an Animal Model of Depression. Science. 317(5839). 819–823. 311 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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