Kavitha Abiraman

513 total citations
9 papers, 341 citations indexed

About

Kavitha Abiraman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Kavitha Abiraman has authored 9 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Kavitha Abiraman's work include Neuroscience and Neuropharmacology Research (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Receptor Mechanisms and Signaling (2 papers). Kavitha Abiraman is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Receptor Mechanisms and Signaling (2 papers). Kavitha Abiraman collaborates with scholars based in United States and Germany. Kavitha Abiraman's co-authors include Yvan M. Vachez, Amber L. Rowse, Braden C. McFarland, Neil T. Sprenkle, Rajani Rajbhandari, Meaghan C. Creed, Etty Benveniste, Sara A. Gibson, Gordon P. Meares and David S. Bredt and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Kavitha Abiraman

9 papers receiving 340 citations

Peers

Kavitha Abiraman

CMN

MB

PHYSI

CB

CN

Eka Lepsveridze Georgia

Johannes Alexander Müller Germany

Yuki Sugaya Japan

Xiaokuang Ma United States

Sunetra Sase Austria

Takaki Watanabe Japan

Gonzalo León‐Espinosa Spain

Salwa Al‐Noori United States

Thomas Andreska Germany

Tara A. Lindsley United States

Eka Lepsveridze Georgia

Kavitha Abiraman

214 ×1.4

CMN

156 ×1.2

MB

58 ×0.8

PHYSI

30 ×0.5

CB

48 ×0.9

CN

Citations per year, relative to Kavitha Abiraman Kavitha Abiraman (= 1×) peers Eka Lepsveridze

Countries citing papers authored by Kavitha Abiraman

Since Specialization

Citations

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

Fields of papers citing papers by Kavitha Abiraman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kavitha Abiraman

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

All Works

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9 of 9 papers shown

1.

Slivicki, Richard A., Tom Earnest, Yu‐Hsuan Chang, et al.. (2022). Oral oxycodone self‐administration leads to features of opioid misuse in male and female mice. Addiction Biology. 28(1). e13253–e13253. 20 indexed citations

2.

Reeves, Jacob M., et al.. (2022). Examination of Diurnal Variation and Sex Differences in Hippocampal Neurophysiology and Spatial Memory. eNeuro. 9(6). ENEURO.0124–22.2022. 12 indexed citations

3.

Markovic, Tamara, Christian E. Pedersen, Nicolas Massaly, et al.. (2021). Pain induces adaptations in ventral tegmental area dopamine neurons to drive anhedonia-like behavior. Nature Neuroscience. 24(11). 1601–1613. 74 indexed citations

4.

Vachez, Yvan M., Jessica R. Tooley, Kavitha Abiraman, et al.. (2021). Ventral arkypallidal neurons inhibit accumbal firing to promote reward consumption. Nature Neuroscience. 24(3). 379–390. 37 indexed citations

5.

Abiraman, Kavitha, et al.. (2020). Increased O-GlcNAcylation rapidly decreases GABAAR currents in hippocampus but depresses neuronal output. Scientific Reports. 10(1). 7494–7494. 13 indexed citations

6.

Bartley, Aundrea F., Kavitha Abiraman, Mohammed Iqbal Hossain, et al.. (2019). LSO:Ce Inorganic Scintillators Are Biocompatible With Neuronal and Circuit Function. Frontiers in Synaptic Neuroscience. 11. 24–24. 7 indexed citations

7.

Abiraman, Kavitha, Neil T. Sprenkle, Sara A. Gibson, et al.. (2016). Attenuation of PKR-like ER Kinase (PERK) Signaling Selectively Controls Endoplasmic Reticulum Stress-induced Inflammation Without Compromising Immunological Responses. Journal of Biological Chemistry. 291(30). 15830–15840. 77 indexed citations

8.

Yu, Hong, Kavitha Abiraman, Tokiwa Yamasaki, et al.. (2016). Porcupine Controls Hippocampal AMPAR Levels, Composition, and Synaptic Transmission. Cell Reports. 14(4). 782–794. 39 indexed citations

9.

Abiraman, Kavitha, Suyog Pol, Melanie A. O’Bara, et al.. (2015). Anti-Muscarinic Adjunct Therapy Accelerates Functional Human Oligodendrocyte Repair. Journal of Neuroscience. 35(8). 3676–3688. 62 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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