Signal Transduction and Targeted Therapy

1.3k papers and 116.4k indexed citations i.

About

The 1.3k papers published in Signal Transduction and Targeted Therapy in the last decades have received a total of 116.4k indexed citations. Papers published in Signal Transduction and Targeted Therapy usually cover Molecular Biology (748 papers), Oncology (350 papers) and Immunology (283 papers) specifically the topics of SARS-CoV-2 and COVID-19 Research (105 papers), Epigenetics and DNA Methylation (100 papers) and RNA modifications and cancer (96 papers). The most active scholars publishing in Signal Transduction and Targeted Therapy are Shao‐Cong Sun, Lingyun Zhang, Donghyun Joo, Ting Liu, Yong Peng, Carlo M. Croce, Yongsheng Li, Ping‐Kun Zhou, Ruixue Huang and Pralay Maiti.

In The Last Decade

Fields of papers published in Signal Transduction and Targeted Therapy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Signal Transduction and Targeted 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 Signal Transduction and Targeted Therapy.

Countries where authors publish in Signal Transduction and Targeted Therapy

Since Specialization
Citations

This map shows the geographic impact of research published in Signal Transduction and Targeted 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 Signal Transduction and Targeted Therapy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Signal Transduction and Targeted 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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2025