Sanjeena Subedi

33 papers and 613 indexed citations i.

About

Sanjeena Subedi is a scholar working on Artificial Intelligence, Molecular Biology and Plant Science. According to data from OpenAlex, Sanjeena Subedi has authored 33 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Molecular Biology and 8 papers in Plant Science. Recurrent topics in Sanjeena Subedi’s work include Bayesian Methods and Mixture Models (15 papers), Gene expression and cancer classification (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Sanjeena Subedi is often cited by papers focused on Bayesian Methods and Mixture Models (15 papers), Gene expression and cancer classification (7 papers) and Statistical Methods and Bayesian Inference (6 papers). Sanjeena Subedi collaborates with scholars based in Canada, United States and Italy. Sanjeena Subedi's co-authors include Paul D. McNicholas, Gale G. Bozzo, Salvatore Ingrassia, Antonio Punzo, Steven J. Rothstein, Barry J. Shelp, Jennifer R. DeEll, Jeffrey L. Andrews, Zeny Feng and Gordon J. Hoover and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Journal of Agricultural and Food Chemistry.

In The Last Decade

Co-authorship network of co-authors of Sanjeena Subedi i

Fields of papers citing papers by Sanjeena Subedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sanjeena Subedi

Since Specialization
Citations

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