Meghana Kshirsagar

22 papers and 442 indexed citations i.

About

Meghana Kshirsagar is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Meghana Kshirsagar has authored 22 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 2 papers in Artificial Intelligence. Recurrent topics in Meghana Kshirsagar’s work include Machine Learning in Bioinformatics (8 papers), Bioinformatics and Genomic Networks (7 papers) and Protein Structure and Dynamics (7 papers). Meghana Kshirsagar is often cited by papers focused on Machine Learning in Bioinformatics (8 papers), Bioinformatics and Genomic Networks (7 papers) and Protein Structure and Dynamics (7 papers). Meghana Kshirsagar collaborates with scholars based in United States, United Kingdom and Germany. Meghana Kshirsagar's co-authors include Judith Klein‐Seetharaman, Juan Lavista Ferres, Jaime Carbonell, S. Sudarshan, Bhavana Dalvi, Shahrzad Gholami, Gaurav Gupta, Ming Zhong, Jaime G. Carbonell and Christina Leslie and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Meghana Kshirsagar i

Fields of papers citing papers by Meghana Kshirsagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meghana Kshirsagar

Since Specialization
Citations

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