Role of matrix metalloproteinases in delayed cortical responses after stroke
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm1387 →Countries where authors are citing Role of matrix metalloproteinases in delayed cortical responses after stroke
This map shows the geographic impact of Role of matrix metalloproteinases in delayed cortical responses after stroke. 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 Role of matrix metalloproteinases in delayed cortical responses after stroke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Role of matrix metalloproteinases in delayed cortical responses after stroke more than expected).
Fields of papers citing Role of matrix metalloproteinases in delayed cortical responses after stroke
This network shows the impact of Role of matrix metalloproteinases in delayed cortical responses after stroke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Role of matrix metalloproteinases in delayed cortical responses after stroke.
About Role of matrix metalloproteinases in delayed cortical responses after stroke
This paper, published in 2006, received 595 indexed citations . Written by Bing–Qiao Zhao, Sophia Y. Wang, Hahn-Young Kim, Hannah Storrie, Bruce R. Rosen, David Mooney, Xiaoying Wang and Eng H. Lo covering the research area of Cancer Research, Oncology and Hematology. It is primarily cited by scholars working on Neurology (271 citations), Molecular Biology (215 citations) and Cancer Research (171 citations). Published in Nature Medicine.
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/nm1387.