Yogendra H. Raol

597 total citations
26 papers, 453 citations indexed

About

Yogendra H. Raol is a scholar working on Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health and Psychiatry and Mental health. According to data from OpenAlex, Yogendra H. Raol has authored 26 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 11 papers in Pediatrics, Perinatology and Child Health and 9 papers in Psychiatry and Mental health. Recurrent topics in Yogendra H. Raol's work include Neuroscience and Neuropharmacology Research (20 papers), Neonatal and fetal brain pathology (10 papers) and Epilepsy research and treatment (9 papers). Yogendra H. Raol is often cited by papers focused on Neuroscience and Neuropharmacology Research (20 papers), Neonatal and fetal brain pathology (10 papers) and Epilepsy research and treatment (9 papers). Yogendra H. Raol collaborates with scholars based in United States, India and France. Yogendra H. Raol's co-authors include Amy R. Brooks‐Kayal, Andrew M. White, B.L Meti, Shelley J. Russek, Kevin Chapman, Elaine C. Budreck, Marco I. González, Slobodan M. Todorovic, Srdjan M. Joksimovic and Yasmin Cruz Del Angel and has published in prestigious journals such as Neuroscience, British Journal of Pharmacology and Life Sciences.

In The Last Decade

Yogendra H. Raol

26 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yogendra H. Raol United States 15 255 139 124 116 88 26 453
Joshua S. Kaplan United States 11 284 1.1× 99 0.7× 141 1.1× 94 0.8× 108 1.2× 19 571
Lauren C. Harte‐Hargrove United States 12 450 1.8× 137 1.0× 128 1.0× 62 0.5× 106 1.2× 16 692
Kevin Ellsworth United States 12 222 0.9× 198 1.4× 89 0.7× 58 0.5× 56 0.6× 17 415
Camila L. Ferreira Brazil 14 168 0.7× 180 1.3× 291 2.3× 69 0.6× 44 0.5× 19 586
Daniel Shaver United States 7 259 1.0× 94 0.7× 27 0.2× 124 1.1× 104 1.2× 9 670
Myoung-Jin Choi South Korea 11 296 1.2× 152 1.1× 139 1.1× 30 0.3× 119 1.4× 11 603
Alexis L. Northcutt United States 6 330 1.3× 154 1.1× 89 0.7× 64 0.6× 39 0.4× 7 731
Wendy Shelly United States 7 179 0.7× 83 0.6× 106 0.9× 38 0.3× 152 1.7× 12 627
Hiroko Hori Japan 15 136 0.5× 160 1.2× 177 1.4× 44 0.4× 97 1.1× 29 538
Sawsan Aboul‐Fotouh Egypt 16 107 0.4× 160 1.2× 66 0.5× 27 0.2× 76 0.9× 28 610

Countries citing papers authored by Yogendra H. Raol

Since Specialization
Citations

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

Fields of papers citing papers by Yogendra H. Raol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yogendra H. Raol. 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 Yogendra H. Raol. The network helps show where Yogendra H. Raol may publish in the future.

Co-authorship network of co-authors of Yogendra H. Raol

This figure shows the co-authorship network connecting the top 25 collaborators of Yogendra H. Raol. A scholar is included among the top collaborators of Yogendra H. Raol 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 Yogendra H. Raol. Yogendra H. Raol 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.
Manzella, Francesca M., Srdjan M. Joksimovic, Robert M. Dietz, et al.. (2023). Neonatal exposure to a neuroactive steroid alters low-frequency oscillations in the subiculum. Experimental Biology and Medicine. 248(7). 578–587. 3 indexed citations
2.
Joksimovic, Srdjan M., Jasper A. Heinsbroek, James E. Orfila, et al.. (2022). CaV3.1 T-type calcium channels are important for spatial memory processing in the dorsal subiculum. Neuropharmacology. 226. 109400–109400. 4 indexed citations
3.
Joksimovic, Srdjan M., Kathiresan Krishnan, Douglas F. Covey, et al.. (2021). Differential effects of the novel neurosteroid hypnotic (3β,5β,17β)-3-hydroxyandrostane-17-carbonitrile on electroencephalogram activity in male and female rats. British Journal of Anaesthesia. 127(3). 435–446. 11 indexed citations
4.
Manzella, Francesca M., et al.. (2021). Neonatal Isoflurane Does Not Affect Sleep Architecture and Minimally Alters Neuronal Beta Oscillations in Adolescent Rats. Frontiers in Behavioral Neuroscience. 15. 703859–703859. 2 indexed citations
5.
Manzella, Francesca M., Srdjan M. Joksimovic, James E. Orfila, et al.. (2020). Neonatal Ketamine Alters High-Frequency Oscillations and Synaptic Plasticity in the Subiculum But Does not Affect Sleep Macrostructure in Adolescent Rats. Frontiers in Systems Neuroscience. 14. 26–26. 14 indexed citations
6.
Raol, Yogendra H., Srdjan M. Joksimovic, Brock Matter, et al.. (2020). The role of KCC2 in hyperexcitability of the neonatal brain. Neuroscience Letters. 738. 135324–135324. 13 indexed citations
7.
Stamenić, Tamara Timić, Francesca M. Manzella, Kathiresan Krishnan, et al.. (2020). The T-type calcium channel isoform Cav3.1 is a target for the hypnotic effect of the anaesthetic neurosteroid (3β,5β,17β)-3-hydroxyandrostane-17-carbonitrile. British Journal of Anaesthesia. 126(1). 245–255. 17 indexed citations
8.
Diaz, Michael J., et al.. (2020). Effects of a potassium channel opener on brain injury and neurologic outcomes in an animal model of neonatal hypoxic–ischemic injury. Pediatric Research. 88(2). 202–208. 10 indexed citations
9.
Joksimovic, Srdjan M., Francesca M. Manzella, Peihan Orestes, et al.. (2019). Novel neuroactive steroid with hypnotic and T‐type calcium channel blocking properties exerts effective analgesia in a rodent model of post‐surgical pain. British Journal of Pharmacology. 177(8). 1735–1753. 16 indexed citations
10.
Patil, Madhoosudan A., Brock Matter, Yogendra H. Raol, et al.. (2018). Brain Distribution and Metabolism of Flupirtine, a Nonopioid Analgesic Drug with Antiseizure Effects, in Neonatal Rats. Pharmaceutics. 10(4). 281–281. 11 indexed citations
12.
White, Andrew M., et al.. (2017). Anticonvulsant effect of flupirtine in an animal model of neonatal hypoxic-ischemic encephalopathy. Neuropharmacology. 123. 126–135. 19 indexed citations
13.
14.
White, Andrew M., et al.. (2015). Flupirtine effectively prevents development of acute neonatal seizures in an animal model of global hypoxia. Neuroscience Letters. 607. 46–51. 20 indexed citations
15.
Miller, James A., Liping Liang, Yogendra H. Raol, et al.. (2014). Repeated exposure to low doses of kainic acid activates nuclear factor kappa B (NF-κB) prior to seizure in transgenic NF-κB/EGFP reporter mice. NeuroToxicology. 44. 39–47. 19 indexed citations
17.
Chapman, Kevin, Yogendra H. Raol, & Amy R. Brooks‐Kayal. (2012). Neonatal seizures: controversies and challenges in translating new therapies from the lab to the isolette. European Journal of Neuroscience. 35(12). 1857–1865. 35 indexed citations
18.
19.
Raol, Yogendra H. & B.L Meti. (2000). Effects of Vigabatrin on Sleep–Wakefulness Cycle in Amygdala‐Kindled Rats. Epilepsia. 41(2). 128–131. 13 indexed citations
20.
Raol, Yogendra H. & B.L Meti. (1998). Sleep‐Wakefulness Alterations in Amygdala‐Kindled Rats. Epilepsia. 39(11). 1133–1137. 22 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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