Aniket Naha

15 papers and 270 indexed citations i.

About

Aniket Naha is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Aniket Naha has authored 15 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Infectious Diseases. Recurrent topics in Aniket Naha’s work include Computational Drug Discovery Methods (6 papers), Tuberculosis Research and Epidemiology (4 papers) and vaccines and immunoinformatics approaches (3 papers). Aniket Naha is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Tuberculosis Research and Epidemiology (4 papers) and vaccines and immunoinformatics approaches (3 papers). Aniket Naha collaborates with scholars based in India, South Korea and United Kingdom. Aniket Naha's co-authors include Sudha Ramaiah, Anand Anbarasu, Sravan Kumar Miryala, Soumya Basu, Balaji Veeraraghavan, Saravanan Natarajan, Binesh Lal, Saranya Vijayakumar, Sanjukta Banerjee and Harpreet Singh and has published in prestigious journals such as Environmental Pollution, Gene and Journal of Cellular Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Aniket Naha i

Fields of papers citing papers by Aniket Naha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aniket Naha

Since Specialization
Citations

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