Informatics in Medicine Unlocked

1.4k papers and 18.0k indexed citations i.

About

The 1.4k papers published in Informatics in Medicine Unlocked in the last decades have received a total of 18.0k indexed citations. Papers published in Informatics in Medicine Unlocked usually cover Molecular Biology (344 papers), Artificial Intelligence (275 papers) and Radiology, Nuclear Medicine and Imaging (240 papers) specifically the topics of Computational Drug Discovery Methods (117 papers), COVID-19 diagnosis using AI (113 papers) and AI in cancer detection (104 papers). The most active scholars publishing in Informatics in Medicine Unlocked are Md. Milon Islam, C. Beulah Christalin Latha, S. Carolin Jeeva, Md. Zabirul Islam, Amanullah Asraf, Intisar Rizwan I Haque, Jeremiah Neubert, Abolfazl Attar, Mohammad Rahimzadeh and Ibomoiye Domor Mienye.

In The Last Decade

Fields of papers published in Informatics in Medicine Unlocked

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Informatics in Medicine Unlocked. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Informatics in Medicine Unlocked.

Countries where authors publish in Informatics in Medicine Unlocked

Since Specialization
Citations

This map shows the geographic impact of research published in Informatics in Medicine Unlocked. 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 papers published in Informatics in Medicine Unlocked with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Informatics in Medicine Unlocked 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