Lakshmi Vas

37 papers and 293 indexed citations i.

About

Lakshmi Vas is a scholar working on Anesthesiology and Pain Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lakshmi Vas has authored 37 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Anesthesiology and Pain Medicine, 15 papers in Surgery and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lakshmi Vas’s work include Airway Management and Intubation Techniques (12 papers), Tracheal and airway disorders (10 papers) and Myofascial pain diagnosis and treatment (9 papers). Lakshmi Vas is often cited by papers focused on Airway Management and Intubation Techniques (12 papers), Tracheal and airway disorders (10 papers) and Myofascial pain diagnosis and treatment (9 papers). Lakshmi Vas collaborates with scholars based in India and Singapore. Lakshmi Vas's co-authors include Sreekrishna Raghavendran, Tejal Shah, Hema Bagry, Mahesh Radhakrishnan and Vinay Kulkarni and has published in prestigious journals such as Pain, Anesthesia & Analgesia and Pain Medicine.

In The Last Decade

Co-authorship network of co-authors of Lakshmi Vas i

Fields of papers citing papers by Lakshmi Vas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lakshmi Vas

Since Specialization
Citations

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