Key transcription factors in the differentiation of mesenchymal stem cells

317 indexed citations

Abstract

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About

This paper, published in 2016, received 317 indexed citations. Written by Sami G. Almalki and Devendra K. Agrawal covering the research area of Molecular Biology, Rheumatology and Genetics. It is primarily cited by scholars working on Molecular Biology (164 citations), Genetics (138 citations) and Surgery (62 citations). Published in Differentiation.

Countries where authors are citing Key transcription factors in the differentiation of mesenchymal stem cells

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This map shows the geographic impact of Key transcription factors in the differentiation of mesenchymal stem cells. 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 Key transcription factors in the differentiation of mesenchymal stem cells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Key transcription factors in the differentiation of mesenchymal stem cells more than expected).

Fields of papers citing Key transcription factors in the differentiation of mesenchymal stem cells

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Key transcription factors in the differentiation of mesenchymal stem cells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Key transcription factors in the differentiation of mesenchymal stem cells.

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/10.1016/j.diff.2016.02.005.

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