Lata Chaunsali

11 papers and 548 indexed citations i.

About

Lata Chaunsali is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology. According to data from OpenAlex, Lata Chaunsali has authored 11 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 5 papers in Cell Biology and 4 papers in Molecular Biology. Recurrent topics in Lata Chaunsali’s work include Neuroscience and Neuropharmacology Research (6 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Lata Chaunsali is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Lata Chaunsali collaborates with scholars based in United States and India. Lata Chaunsali's co-authors include Harald Sontheimer, Bhanu P. Tewari, Dipan C. Patel, Susan L. Campbell, Balasundaram Padmanabhan, Prashant Deshmukh, Susan C. Campbell, Carmen Muñoz‐Ballester, Jennifer H. Yang and William A. Mills and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Nature reviews. Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Lata Chaunsali i

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.

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).

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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2025