The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Countries where authors are citing The human brain is intrinsically organized into dynamic, anticorrelated functional networks
This map shows the geographic impact of The human brain is intrinsically organized into dynamic, anticorrelated functional networks. 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 The human brain is intrinsically organized into dynamic, anticorrelated functional networks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The human brain is intrinsically organized into dynamic, anticorrelated functional networks more than expected).
Fields of papers citing The human brain is intrinsically organized into dynamic, anticorrelated functional networks
This network shows the impact of The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The human brain is intrinsically organized into dynamic, anticorrelated functional networks.
About The human brain is intrinsically organized into dynamic, anticorrelated functional networks
This paper, published in 2005, received 6.7k indexed citations . Written by Michael Fox, Abraham Z. Snyder, Justin L. Vincent, Maurizio Corbetta, David C. Van Essen and Marcus E. Raichle covering the research area of Cognitive Neuroscience. It is primarily cited by scholars working on Cognitive Neuroscience (6.0k citations), Radiology, Nuclear Medicine and Imaging (1.8k citations) and Experimental and Cognitive Psychology (1.1k citations). Published in Proceedings of the National Academy of Sciences.
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/10.1073/pnas.0504136102.