Telomeres shorten at equivalent rates in somatic tissues of adults

487 indexed citations
published 2013

Countries where authors are citing Telomeres shorten at equivalent rates in somatic tissues of adults

Specialization
Citations

This map shows the geographic impact of Telomeres shorten at equivalent rates in somatic tissues of adults. 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 Telomeres shorten at equivalent rates in somatic tissues of adults with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Telomeres shorten at equivalent rates in somatic tissues of adults more than expected).

Fields of papers citing Telomeres shorten at equivalent rates in somatic tissues of adults

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Telomeres shorten at equivalent rates in somatic tissues of adults. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Telomeres shorten at equivalent rates in somatic tissues of adults.

About Telomeres shorten at equivalent rates in somatic tissues of adults

This paper, published in 2013, received 487 indexed citations . Written by Lily Daniali, Athanase Bénétos, Ezra Susser, Jeremy D. Kark, Carlos Labat, Masayuki Kimura, Kunj K. Desai, Mark S. Granick and Abraham Aviv covering the research area of Molecular Biology and Physiology. It is primarily cited by scholars working on Physiology (431 citations), Aging (153 citations) and Molecular Biology (143 citations). Published in Nature Communications.

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/10.1038/ncomms2602.

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