Maya S. Nair

30 papers and 315 indexed citations i.

About

Maya S. Nair is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Maya S. Nair has authored 30 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Organic Chemistry and 6 papers in Computational Theory and Mathematics. Recurrent topics in Maya S. Nair’s work include DNA and Nucleic Acid Chemistry (8 papers), Computational Drug Discovery Methods (6 papers) and Synthesis and biological activity (6 papers). Maya S. Nair is often cited by papers focused on DNA and Nucleic Acid Chemistry (8 papers), Computational Drug Discovery Methods (6 papers) and Synthesis and biological activity (6 papers). Maya S. Nair collaborates with scholars based in India and United States. Maya S. Nair's co-authors include Asima Pradhan, Shailendra Kumar, Ritu Barthwal, Pamita Awasthi, Nirmalya Ghosh, Aishwarya Shukla, S. Sundar Manoharan, Rashmi Pant, Krishna Mohan Poluri and Peeyush Kumar and has published in prestigious journals such as Nature Communications, Scientific Reports and RSC Advances.

In The Last Decade

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

Fields of papers citing papers by Maya S. Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya S. Nair

Since Specialization
Citations

This map shows the geographic impact of Maya S. 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 S. 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 S. 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