Interdisciplinary Sciences Computational Life Sciences

839 papers and 8.0k indexed citations i.

About

The 839 papers published in Interdisciplinary Sciences Computational Life Sciences in the last decades have received a total of 8.0k indexed citations. Papers published in Interdisciplinary Sciences Computational Life Sciences usually cover Molecular Biology (558 papers), Computational Theory and Mathematics (135 papers) and Artificial Intelligence (76 papers) specifically the topics of Computational Drug Discovery Methods (130 papers), Machine Learning in Bioinformatics (105 papers) and Bioinformatics and Genomic Networks (89 papers). The most active scholars publishing in Interdisciplinary Sciences Computational Life Sciences are Le Zhang, Ailing Fu, Jin Li, Dong‐Qing Wei, Mukesh C. Sharma, Pritish Kumar Varadwaj, Shaoliang Peng, Utkarsh Raj, Rao Sethumadhavan and Luc Montagnier.

In The Last Decade

Fields of papers published in Interdisciplinary Sciences Computational Life Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Interdisciplinary Sciences Computational Life Sciences. 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 Interdisciplinary Sciences Computational Life Sciences.

Countries where authors publish in Interdisciplinary Sciences Computational Life Sciences

Since Specialization
Citations

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