Ipsita Agarwal

6 papers and 296 indexed citations
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About

Ipsita Agarwal is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Ipsita Agarwal has authored 6 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Molecular Biology and 1 paper in Plant Science. Recurrent topics in Ipsita Agarwal’s work include Genetic Associations and Epidemiology (2 papers), Evolution and Genetic Dynamics (2 papers) and Bayesian Methods and Mixture Models (1 paper). Ipsita Agarwal is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Evolution and Genetic Dynamics (2 papers) and Bayesian Methods and Mixture Models (1 paper). Ipsita Agarwal collaborates with scholars based in United States and United Kingdom. Ipsita Agarwal's co-authors include Molly Przeworski, Hakhamanesh Mostafavi, Dalton Conley, Jonathan K. Pritchard, Arbel Harpak, Zachary L. Fuller, Simon Myers, Michael B. Eisen, Guy Sella and Valerie A. Hale and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Genetics.

In The Last Decade

Co-authorship network of co-authors of Ipsita Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Ipsita Agarwal. A scholar is included among the top collaborators of Ipsita Agarwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ipsita Agarwal. Ipsita Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Ipsita Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ipsita Agarwal

Since Specialization
Citations

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