iScience

11.5k papers and 131.9k indexed citations
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About

The 11.5k papers published in iScience in the last decades have received a total of 131.9k indexed citations. Papers published in iScience usually cover Molecular Biology (4.3k papers), Immunology (1.2k papers) and Genetics (901 papers) specifically the topics of RNA modifications and cancer (382 papers), Immune Cell Function and Interaction (332 papers) and RNA Research and Splicing (324 papers). The most active scholars publishing in iScience are Norio Shibata, Yuta Ogawa, Aaron M. Ellison, Etsuko Tokunaga, Kenji Hirai, Osamu Kobayashi, Mujib Ullah, Avnesh S. Thakor, Daniel Dan Liu and Yan Wang.

In The Last Decade

iScience

10.0k papers receiving 124.0k citations

Fields of papers published in iScience

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in iScience. 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 iScience.

Countries where authors publish in iScience

Since Specialization
Citations

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