Sangeeta Ravat

436 citations
44 papers · 258 indexed · h-index 7
Topics
Epilepsy research and treatment (23 papers)Pharmacological Effects and Toxicity Studies (11 papers)Neuroscience and Neuropharmacology Research (10 papers)
Partner nations
IndiaUnited StatesJapan

In The Last Decade

Sangeeta Ravat

38 papers receiving 245 citations

Peers

Sangeeta Ravat
Comparison fields: 5 of 63
  • Psychiatry and Mental health 143
  • Cellular and Molecular Neuroscience 74
  • Pediatrics, Perinatology and Child Health 63
  • Genetics 63
  • Molecular Biology 53
Replace Leonor Cabral‐Lim with:
Leonor Cabral‐Lim Philippines
J Mani India
Rosanna Maria Di Bartolo Italy
Francesco Paladin Italy
David Renner United States
Juan Pablo Appendino Canada
Khalil S. Husari United States
Juan Luís Becerra Spain
Demet Kınay Türkiye
Jay Shetty United Kingdom
Sangeeta Ravat relative to Leonor Cabral‐Lim Philippines Leonor Cabral‐Lim's profile →
Citations per field
00.5×11×
Leonor Cabral‐Lim · 1×
Citations per year

Countries citing papers authored by Sangeeta Ravat

Since Specialization
Citations

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

Fields of papers citing papers by Sangeeta Ravat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangeeta Ravat

This figure shows the co-authorship network connecting the top 25 collaborators of Sangeeta Ravat. A scholar is included among the top collaborators of Sangeeta Ravat 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 Sangeeta Ravat. Sangeeta Ravat 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
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6 15
7 1
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10 13
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Multiple sclerosis: experience in neuroimaging era from western India.
15
20 100

About Sangeeta Ravat

Sangeeta Ravat is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Neurology, having authored 44 papers that have together received 258 indexed citations. Recurring topics across this work include Epilepsy research and treatment (23 papers), Pharmacological Effects and Toxicity Studies (11 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Psychiatry and Mental health (143 citations), Cellular and Molecular Neuroscience (74 citations) and Neurology (52 citations). Sangeeta Ravat has collaborated with scholars based in India, United States and Japan. Frequent co-authors include J Mani, Urvashi Shah, Ignacio Pascual Castroviejo, José M. Serratosa, Manyee Gee, G.C.Y. Fong, Sonia Khan, Lucy J. Treiman, Antonio V. Delgado‐Escueta and Marco T. Medina. Their work appears in journals such as The American Journal of Human Genetics, Epilepsia and Journal of the Neurological Sciences.

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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