Cancer Gene Therapy

2.5k papers and 65.5k indexed citations i.

About

The 2.5k papers published in Cancer Gene Therapy in the last decades have received a total of 65.5k indexed citations. Papers published in Cancer Gene Therapy usually cover Molecular Biology (1.6k papers), Genetics (1.1k papers) and Oncology (926 papers) specifically the topics of Virus-based gene therapy research (1.1k papers), RNA Interference and Gene Delivery (571 papers) and CAR-T cell therapy research (523 papers). The most active scholars publishing in Cancer Gene Therapy are John Nemunaitis, Bingliang Fang, Lidong Zhang, Gayathri R. Devi, Stephen J. Russell, Han Chong Toh, Rong En Tay, Marta Izquierdo, Samuel D. Rabkin and Weiwei Zhang.

In The Last Decade

Fields of papers published in Cancer Gene Therapy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Cancer Gene Therapy. 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 Gene Therapy.

Countries where authors publish in Cancer Gene Therapy

Since Specialization
Citations

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