In vivo visualization of gene expression using magnetic resonance imaging
- Journal
- Nature Biotechnology
In The Last Decade
doi.org/10.1038/73780 →Countries where authors are citing In vivo visualization of gene expression using magnetic resonance imaging
This map shows the geographic impact of In vivo visualization of gene expression using magnetic resonance imaging. 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 In vivo visualization of gene expression using magnetic resonance imaging with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In vivo visualization of gene expression using magnetic resonance imaging more than expected).
Fields of papers citing In vivo visualization of gene expression using magnetic resonance imaging
This network shows the impact of In vivo visualization of gene expression using magnetic resonance imaging. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the In vivo visualization of gene expression using magnetic resonance imaging.
About In vivo visualization of gene expression using magnetic resonance imaging
This paper, published in 2000, received 893 indexed citations . Written by Angelique Y. Louie, Eric T. Ahrens, Ute Rothbächer, Rex Moats, Russell E. Jacobs, Scott E. Fraser and Thomas J. Meade covering the research area of Molecular Biology, Cellular and Molecular Neuroscience and Biophysics. It is primarily cited by scholars working on Radiology, Nuclear Medicine and Imaging (341 citations), Materials Chemistry (339 citations), Molecular Biology (317 citations), Biomedical Engineering (161 citations) and Biophysics (127 citations). Published in Nature Biotechnology.
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/10.1038/73780.