Monica Agrawal

23 papers and 878 indexed citations i.

About

Monica Agrawal is a scholar working on Artificial Intelligence, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Monica Agrawal has authored 23 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Monica Agrawal’s work include Biomedical Text Mining and Ontologies (4 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Pregnancy and preeclampsia studies (2 papers). Monica Agrawal is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Pregnancy and preeclampsia studies (2 papers). Monica Agrawal collaborates with scholars based in India, United States and Germany. Monica Agrawal's co-authors include Jure Leskovec, Marinka Žitnik, David Sontag, Yoon Kim, Arvind Satyanarayan, Irene Y. Chen, Steven Horng, Theodore Leng, Audrey K. Ellerbee and Gregory J. Riely and has published in prestigious journals such as Bioinformatics, Journal of Biomedical Optics and The World Journal of Men s Health.

In The Last Decade

Co-authorship network of co-authors of Monica Agrawal i

Fields of papers citing papers by Monica Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Monica Agrawal

Since Specialization
Citations

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