MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices.
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doi.org/w69224488 →Countries where authors are citing MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices.
This map shows the geographic impact of MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices.. 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 MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices. more than expected).
Fields of papers citing MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices.
This network shows the impact of MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices..
About MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices.
This paper, published in 1998, received 676 indexed citations . Written by Ricardo Insausti, Kirsi Juottonen, Hilkka Soininen, Ana María Insausti Serrano, Kaarina Partanen, Pauli Vainio, Mikko P. Laakso and A. Pitkänen covering the research area of Neurology and Cellular and Molecular Neuroscience. It is primarily cited by scholars working on Cognitive Neuroscience (551 citations), Cellular and Molecular Neuroscience (225 citations) and Psychiatry and Mental health (218 citations). Published in American Journal of Neuroradiology.
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/w69224488.