Aparna Maiti

25 papers and 724 indexed citations i.

About

Aparna Maiti is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Aparna Maiti has authored 25 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Surgery. Recurrent topics in Aparna Maiti’s work include Sphingolipid Metabolism and Signaling (7 papers), Vitamin D Research Studies (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Aparna Maiti is often cited by papers focused on Sphingolipid Metabolism and Signaling (7 papers), Vitamin D Research Studies (4 papers) and Cholesterol and Lipid Metabolism (3 papers). Aparna Maiti collaborates with scholars based in United States, Japan and China. Aparna Maiti's co-authors include Nitai C. Hait, Matthew J. Beckman, Kazuaki Takabe, Qianya Qi, Li Yan, David A. Gewirtz, Scott C. Henderson, Xu Di, Molly L. Bristol and Zhen Fan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Aparna Maiti i

Fields of papers citing papers by Aparna Maiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aparna Maiti

Since Specialization
Citations

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