Neuroinflammation in Acute Ischemic and Hemorrhagic Stroke

304 indexed citations
published 2023

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Countries where authors are citing Neuroinflammation in Acute Ischemic and Hemorrhagic Stroke

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This map shows the geographic impact of Neuroinflammation in Acute Ischemic and Hemorrhagic 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 Neuroinflammation in Acute Ischemic and Hemorrhagic Stroke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neuroinflammation in Acute Ischemic and Hemorrhagic Stroke more than expected).

Fields of papers citing Neuroinflammation in Acute Ischemic and Hemorrhagic Stroke

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Neuroinflammation in Acute Ischemic and Hemorrhagic Stroke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Neuroinflammation in Acute Ischemic and Hemorrhagic Stroke.

About Neuroinflammation in Acute Ischemic and Hemorrhagic Stroke

This paper, published in 2023, received 304 indexed citations . Written by Diana L. Alsbrook, Mario Di Napoli, Kunal Bhatia, José Biller, Sasan Andalib, Archana Hinduja, Miguel Angel Rodriguez, Sara Y. Sabbagh, Magdy H. Selim and Maryam Hosseini Farahabadi covering the research area of Epidemiology and Neurology. It is primarily cited by scholars working on Neurology (113 citations), Neurology (65 citations), Molecular Biology (53 citations), Epidemiology (33 citations) and Immunology (29 citations). Published in Current Neurology and Neuroscience Reports.

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/10.1007/s11910-023-01282-2.

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