Kavitha Abiraman

513 citations
9 papers · 341 indexed · h-index 8
Topics
Neuroscience and Neuropharmacology Research (4 papers)Neurotransmitter Receptor Influence on Behavior (3 papers)Receptor Mechanisms and Signaling (2 papers)
Partner nations
United StatesGermany

In The Last Decade

Kavitha Abiraman

9 papers receiving 340 citations

Peers

Kavitha Abiraman
Comparison fields: 5 of 58
  • Cellular and Molecular Neuroscience 158
  • Molecular Biology 126
  • Physiology 73
  • Cell Biology 59
  • Cognitive Neuroscience 56
Replace Sin‐Jhong Cheng with:
Sin‐Jhong Cheng Taiwan
Eka Lepsveridze Georgia
Xiaokuang Ma United States
Sunetra Sase Austria
Johannes Alexander Müller Germany
Lingzhen Song China
Gonzalo León‐Espinosa Spain
Chuchu Qi China
Takaki Watanabe Japan
Anna Beroun Poland
Kavitha Abiraman relative to Sin‐Jhong Cheng Taiwan Sin‐Jhong Cheng's profile →
Citations per field
00.5×1.5×2.0×
Sin‐Jhong Cheng · 1×
Citations per year

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

9 of 9 papers shown
#WorkIndexed citations
1 20
2 12
3 74
4 37
5 13
6 7
7 77
8 39
9 62

About Kavitha Abiraman

Kavitha Abiraman is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Developmental Neuroscience, having authored 9 papers that have together received 341 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Developmental Neuroscience (53 citations), Cellular and Molecular Neuroscience (158 citations) and Neurology (52 citations). Kavitha Abiraman has collaborated with scholars based in United States and Germany. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and Nature Neuroscience.

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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