Signaling and transcriptional regulation in osteoblast commitment and differentiation

517 indexed citations
published 2007

Countries where authors are citing Signaling and transcriptional regulation in osteoblast commitment and differentiation

Specialization
Citations

This map shows the geographic impact of Signaling and transcriptional regulation in osteoblast commitment and differentiation. 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 Signaling and transcriptional regulation in osteoblast commitment and differentiation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Signaling and transcriptional regulation in osteoblast commitment and differentiation more than expected).

Fields of papers citing Signaling and transcriptional regulation in osteoblast commitment and differentiation

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Signaling and transcriptional regulation in osteoblast commitment and differentiation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Signaling and transcriptional regulation in osteoblast commitment and differentiation.

About Signaling and transcriptional regulation in osteoblast commitment and differentiation

This paper, published in 2007, received 517 indexed citations . Written by Wei Huang covering the research area of Molecular Biology and Oncology. It is primarily cited by scholars working on Molecular Biology (279 citations), Biomedical Engineering (147 citations) and Oncology (101 citations). Published in Frontiers in bioscience.

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/10.2741/2296.

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