Cancer Nanotechnology

336 papers and 6.3k indexed citations i.

About

The 336 papers published in Cancer Nanotechnology in the last decades have received a total of 6.3k indexed citations. Papers published in Cancer Nanotechnology usually cover Biomedical Engineering (149 papers), Biomaterials (139 papers) and Molecular Biology (124 papers) specifically the topics of Nanoparticle-Based Drug Delivery (137 papers), Nanoplatforms for cancer theranostics (101 papers) and RNA Interference and Gene Delivery (49 papers). The most active scholars publishing in Cancer Nanotechnology are Kevin M. Prise, Karl T. Butterworth, M. Jannathul Firdhouse, Lalitha Pottail, Inocencio Higuera‐Ciapara, Jesús Bernardino Velázquez-Fernández, Alba Adriana Vallejo‐Cardona, Sawsan M. El-Sonbaty, Farideh Namvar and Andrey V. Solov’yov.

In The Last Decade

Fields of papers published in Cancer Nanotechnology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Cancer Nanotechnology. 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 Cancer Nanotechnology.

Countries where authors publish in Cancer Nanotechnology

Since Specialization
Citations

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