Molecular Therapy — Nucleic Acids

2.5k papers and 72.9k indexed citations i.

About

The 2.5k papers published in Molecular Therapy — Nucleic Acids in the last decades have received a total of 72.9k indexed citations. Papers published in Molecular Therapy — Nucleic Acids usually cover Molecular Biology (2.1k papers), Cancer Research (890 papers) and Genetics (331 papers) specifically the topics of RNA Interference and Gene Delivery (635 papers), MicroRNA in disease regulation (571 papers) and Cancer-related molecular mechanisms research (482 papers). The most active scholars publishing in Molecular Therapy — Nucleic Acids are Yuanyu Huang, Yu Zhang, Jenny K.W. Lam, Michael Y.T. Chow, Susan W.S. Leung, Xiaogang Wang, Shihua Yang, Louis Y. Tee, Qunshan Huang and Xiaohui Zhang.

In The Last Decade

Fields of papers published in Molecular Therapy — Nucleic Acids

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Molecular Therapy — Nucleic Acids. 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 Molecular Therapy — Nucleic Acids.

Countries where authors publish in Molecular Therapy — Nucleic Acids

Since Specialization
Citations

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