Lata Chaunsali

979 citations
13 papers · 646 indexed · 1 hit paper · h-index 9
Topics
Neuroscience and Neuropharmacology Research (6 papers)Proteoglycans and glycosaminoglycans research (6 papers)Neuropeptides and Animal Physiology (3 papers)
Partner nations
United StatesIndia

In The Last Decade

Lata Chaunsali

12 papers receiving 644 citations

Hit Papers

Neuron–glia interactions in the pathophysiology of epilepsy20192026202120232019100200300

Peers

Lata Chaunsali
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 337
  • Molecular Biology 204
  • Neurology 150
  • Psychiatry and Mental health 118
  • Cell Biology 103
Replace Bhanu P. Tewari with:
Bhanu P. Tewari United States
Sung‐Eun Kwak South Korea
François‐Xavier Lejeune France
Yuriy Kucheryavykh Puerto Rico
Marie-Claude Rousset France
Karen M. J. van Loo Germany
Kyung‐Seok Han South Korea
Rick A.C.M. Boonen Netherlands
Anand N. Rao United States
Diane Lucente United States
Lata Chaunsali relative to Bhanu P. Tewari United States Bhanu P. Tewari's profile →
Citations per field
00.5×
Bhanu P. Tewari · 1×
Citations per year

Countries citing papers authored by Lata Chaunsali

Since Specialization
Citations

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

Fields of papers citing papers by Lata Chaunsali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lata Chaunsali

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 2
3 32
4 4
5 49
6 5
7 32
8 11
9 9
10
Neuron–glia interactions in the pathophysiology of epilepsybreakdown →
304
11 36
12 139
13 23

About Lata Chaunsali

Lata Chaunsali is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Cell Biology, having authored 13 papers that have together received 646 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Proteoglycans and glycosaminoglycans research (6 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (337 citations), Neurology (150 citations) and Developmental Neuroscience (62 citations). Lata Chaunsali has collaborated with scholars based in United States and India. Frequent co-authors include Harald Sontheimer, Bhanu P. Tewari, Dipan C. Patel, Susan L. Campbell, Prashant Deshmukh, Balasundaram Padmanabhan, Susan C. Campbell, Carmen Muñoz‐Ballester, William A. Mills and Stefanie Robel. Their work appears in journals such as Nature Communications, Nature Neuroscience and Nature reviews. 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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