Farrokh Mehryary

10 papers and 2.3k indexed citations i.

About

Farrokh Mehryary is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Farrokh Mehryary has authored 10 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Farrokh Mehryary’s work include Biomedical Text Mining and Ontologies (7 papers), Bioinformatics and Genomic Networks (7 papers) and Computational Drug Discovery Methods (3 papers). Farrokh Mehryary is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Bioinformatics and Genomic Networks (7 papers) and Computational Drug Discovery Methods (3 papers). Farrokh Mehryary collaborates with scholars based in Finland, Denmark and Switzerland. Farrokh Mehryary's co-authors include Sampo Pyysalo, Katerina Nastou, Lars Juhl Jensen, Nadezhda T. Doncheva, Tao Fang, Damian Szklarczyk, Mikaela Koutrouli, Christian von Mering, Rebecca Kirsch and Peer Bork and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Farrokh Mehryary i

Fields of papers citing papers by Farrokh Mehryary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Farrokh Mehryary

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025