Swastika Maitra

32 papers and 263 indexed citations i.

About

Swastika Maitra is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Swastika Maitra has authored 32 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Immunology. Recurrent topics in Swastika Maitra’s work include Extracellular vesicles in disease (8 papers), RNA Interference and Gene Delivery (7 papers) and Computational Drug Discovery Methods (7 papers). Swastika Maitra is often cited by papers focused on Extracellular vesicles in disease (8 papers), RNA Interference and Gene Delivery (7 papers) and Computational Drug Discovery Methods (7 papers). Swastika Maitra collaborates with scholars based in India, Saudi Arabia and Bangladesh. Swastika Maitra's co-authors include Nobendu Mukerjee, Arabinda Ghosh, Αθανάσιος Αλεξίου, Nanasaheb D. Thorat, Vetriselvan Subramaniyan, Rohit Sharma, Abhijit Dey, Md. Habibur Rahman, Vinoth Kumarasamy and Popat Mohite and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Co-authorship network of co-authors of Swastika Maitra i

Fields of papers citing papers by Swastika Maitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Swastika Maitra

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025