Mechanisms generating cancer genome complexity from a single cell division error

276 indexed citations

Abstract

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About

This paper, published in 2020, received 276 indexed citations. Written by Neil T. Umbreit, Cheng‐Zhong Zhang, Anna Cheng, Richard W. Tourdot, Lili Sun, Hannah F. Almubarak, Kim Judge, Thomas J. Mitchell, Alexander Spektor and David Pellman covering the research area of Cancer Research, Genetics and Cell Biology. It is primarily cited by scholars working on Molecular Biology (212 citations), Cell Biology (78 citations) and Cancer Research (73 citations). Published in Science.

Countries where authors are citing Mechanisms generating cancer genome complexity from a single cell division error

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This map shows the geographic impact of Mechanisms generating cancer genome complexity from a single cell division error. 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 Mechanisms generating cancer genome complexity from a single cell division error with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mechanisms generating cancer genome complexity from a single cell division error more than expected).

Fields of papers citing Mechanisms generating cancer genome complexity from a single cell division error

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Mechanisms generating cancer genome complexity from a single cell division error. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Mechanisms generating cancer genome complexity from a single cell division error.

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.aba0712.

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