ACS Synthetic Biology

3.1k papers and 68.9k indexed citations i.

About

The 3.1k papers published in ACS Synthetic Biology in the last decades have received a total of 68.9k indexed citations. Papers published in ACS Synthetic Biology usually cover Molecular Biology (2.8k papers), Genetics (621 papers) and Biomedical Engineering (379 papers) specifically the topics of CRISPR and Genetic Engineering (847 papers), Metabolic Engineering and Synthetic Biology (742 papers) and RNA and protein synthesis mechanisms (693 papers). The most active scholars publishing in ACS Synthetic Biology are Huimin Zhao, Vincent Noireaux, Jay D. Keasling, Timothy K. Lu, Gregory Stephanopoulos, Michael C. Jewett, John E. Dueber, Richard M. Murray, Tom Ellis and Jonghyeon Shin.

In The Last Decade

Fields of papers published in ACS Synthetic Biology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACS Synthetic Biology. 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 ACS Synthetic Biology.

Countries where authors publish in ACS Synthetic Biology

Since Specialization
Citations

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