Prerna Sethi

3 papers and 369 indexed citations i.

About

Prerna Sethi is a scholar working on Molecular Biology, Cancer Research and Information Systems. According to data from OpenAlex, Prerna Sethi has authored 3 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Cancer Research and 1 paper in Information Systems. Recurrent topics in Prerna Sethi’s work include Bioinformatics and Genomic Networks (2 papers), Circular RNAs in diseases (1 paper) and Biomedical Text Mining and Ontologies (1 paper). Prerna Sethi is often cited by papers focused on Bioinformatics and Genomic Networks (2 papers), Circular RNAs in diseases (1 paper) and Biomedical Text Mining and Ontologies (1 paper). Prerna Sethi collaborates with scholars based in United States. Prerna Sethi's co-authors include Walter J. Lukiw and has published in prestigious journals such as Neuroscience Letters, Europe PMC (PubMed Central) and PubMed.

In The Last Decade

Co-authorship network of co-authors of Prerna Sethi i

Fields of papers citing papers by Prerna Sethi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prerna Sethi

Since Specialization
Citations

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