Maya Nair

22 papers and 1.0k indexed citations i.

About

Maya Nair is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Maya Nair has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Surgery and 8 papers in Oncology. Recurrent topics in Maya Nair’s work include Cholesterol and Lipid Metabolism (8 papers), Cancer, Lipids, and Metabolism (5 papers) and Drug Transport and Resistance Mechanisms (5 papers). Maya Nair is often cited by papers focused on Cholesterol and Lipid Metabolism (8 papers), Cancer, Lipids, and Metabolism (5 papers) and Drug Transport and Resistance Mechanisms (5 papers). Maya Nair collaborates with scholars based in United States, Canada and India. Maya Nair's co-authors include Andras G. Lacko, Walter J. McConathy, Sulabha Paranjape, Linda Mooberry, Henu Kumar Verma, Yashwant Kumar Ratre, L.V.K.S. Bhaskar, Sushma Chauhan, Tarun Sahu and Riyaz Basha and has published in prestigious journals such as Journal of Lipid Research, Archives of Biochemistry and Biophysics and Biomass and Bioenergy.

In The Last Decade

Co-authorship network of co-authors of Maya Nair i

Fields of papers citing papers by Maya Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Nair

Since Specialization
Citations

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