A custom microarray platform for analysis of microRNA gene expression
- Journal
- Nature Methods
In The Last Decade
doi.org/10.1038/nmeth704 →Countries where authors are citing A custom microarray platform for analysis of microRNA gene expression
This map shows the geographic impact of A custom microarray platform for analysis of microRNA gene expression. 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 A custom microarray platform for analysis of microRNA gene expression with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A custom microarray platform for analysis of microRNA gene expression more than expected).
Fields of papers citing A custom microarray platform for analysis of microRNA gene expression
This network shows the impact of A custom microarray platform for analysis of microRNA gene expression. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A custom microarray platform for analysis of microRNA gene expression.
About A custom microarray platform for analysis of microRNA gene expression
This paper, published in 2004, received 644 indexed citations . Written by J. Michael Thomson, Joel S. Parker, Charles M. Perou and Scott M. Hammond covering the research area of Cancer Research and Molecular Biology. It is primarily cited by scholars working on Molecular Biology (592 citations), Cancer Research (491 citations) and Biomedical Engineering (36 citations). Published in Nature Methods.
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/nmeth704.