T V Ramabhadran

1.6k citations
21 papers · 1.3k indexed · h-index 14
Topics
Alzheimer's disease research and treatments (9 papers)Prion Diseases and Protein Misfolding (4 papers)Virus-based gene therapy research (3 papers)
Partner nations
United States

In The Last Decade

T V Ramabhadran

21 papers receiving 1.3k citations

Peers

T V Ramabhadran
Comparison fields: 5 of 75
  • Physiology 867
  • Molecular Biology 695
  • Cellular and Molecular Neuroscience 326
  • Pharmacology 263
  • Cell Biology 197
Replace D E Frail with:
D E Frail United States
Mikako Sakurai Japan
Mounia Azzi Canada
Karen Jansen United States
Juan M. Luque Spain
Karen A. Bell United States
Marianne Rodriguez France
Katherine A. Albert United States
J. Randall Slemmon United States
Janelle Nunan Australia
T V Ramabhadran relative to D E Frail United States D E Frail's profile →
Citations per field
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Citations per year

Countries citing papers authored by T V Ramabhadran

Since Specialization
Citations

This map shows the geographic impact of T V Ramabhadran'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 T V Ramabhadran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T V Ramabhadran more than expected).

Fields of papers citing papers by T V Ramabhadran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T V Ramabhadran. 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 T V Ramabhadran. The network helps show where T V Ramabhadran may publish in the future.

Co-authorship network of co-authors of T V Ramabhadran

This figure shows the co-authorship network connecting the top 25 collaborators of T V Ramabhadran. A scholar is included among the top collaborators of T V Ramabhadran 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 T V Ramabhadran. T V Ramabhadran 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
#WorkIndexed citations
1 43
2
Molecular size of recombinant alpha1beta1 and alpha1beta1gamma2 GABAA receptors expressed in Sf9 cells.
5
3 52
4 72
5 60
6 10
7 48
8 11
9 9
10 13
11 288
12 14
13 112
14 398
15 2
16 41
17 4
18 96
19 8
20 13

About T V Ramabhadran

T V Ramabhadran is a scholar working on Physiology, Behavioral Neuroscience and Reproductive Medicine, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Prion Diseases and Protein Misfolding (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Physiology (867 citations), Cellular and Molecular Neuroscience (326 citations) and Behavioral Neuroscience (62 citations). T V Ramabhadran has collaborated with scholars based in United States. Frequent co-authors include Sam Gandy, Paul Greengard, Joseph D. Buxbaum, Gregg L. Caporaso, Rafael Fracasso, Axel Unterbeck, Andrew J. Czernik, Michelle E. Ehrlich, Irving Boime and Christopher L. Corless. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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