Preeti Iyer

24 papers and 420 indexed citations i.

About

Preeti Iyer is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Preeti Iyer has authored 24 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 12 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Preeti Iyer’s work include Computational Drug Discovery Methods (15 papers), Machine Learning in Materials Science (5 papers) and Biosynthesis and Engineering of Terpenoids (5 papers). Preeti Iyer is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Machine Learning in Materials Science (5 papers) and Biosynthesis and Engineering of Terpenoids (5 papers). Preeti Iyer collaborates with scholars based in Germany, United States and United Kingdom. Preeti Iyer's co-authors include Jürgen Bajorath, Jeongyoung Park, Xinxin Han, Clese Erikson, Lisa Peltason, Martin Vogt, Dilyana Dimova, Vigneshwaran Namasivayam, Dagmar Stumpfe and Gerald M. Maggiora and has published in prestigious journals such as Journal of Medicinal Chemistry, International Journal of Molecular Sciences and eLife.

In The Last Decade

Co-authorship network of co-authors of Preeti Iyer i

Fields of papers citing papers by Preeti Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Preeti Iyer

Since Specialization
Citations

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