Whole-organism lineage tracing by combinatorial and cumulative genome editing

477 indexed citations

Abstract

loading...

About

This paper, published in 2016, received 477 indexed citations. Written by Aaron McKenna, Gregory M. Findlay, James A. Gagnon, Marshall S. Horwitz, Alexander F. Schier and Jay Shendure covering the research area of Molecular Biology, Genetics and Aging. It is primarily cited by scholars working on Molecular Biology (431 citations), Cancer Research (92 citations) and Biophysics (59 citations). Published in Science.

Countries where authors are citing Whole-organism lineage tracing by combinatorial and cumulative genome editing

Specialization
Citations

This map shows the geographic impact of Whole-organism lineage tracing by combinatorial and cumulative genome editing. 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 Whole-organism lineage tracing by combinatorial and cumulative genome editing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Whole-organism lineage tracing by combinatorial and cumulative genome editing more than expected).

Fields of papers citing Whole-organism lineage tracing by combinatorial and cumulative genome editing

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Whole-organism lineage tracing by combinatorial and cumulative genome editing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Whole-organism lineage tracing by combinatorial and cumulative genome editing.

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.

This paper is also available at doi.org/10.1126/science.aaf7907.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026