Prognostic Value of Myeloperoxidase in Patients with Chest Pain

796 indexed citations

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About

This paper, published in 2003, received 796 indexed citations. Written by Marie‐Luise Brennan, Marc S. Penn, Frederick Van Lente, Vijay Nambi, Mehdi H. Shishehbor, Ronnier J. Aviles, Marlene Goormastic, Michael Pepoy, Ellen McErlean and Eric J. Topol covering the research area of Immunology, Physiology and Cardiology and Cardiovascular Medicine. It is primarily cited by scholars working on Immunology (377 citations), Cardiology and Cardiovascular Medicine (277 citations) and Physiology (166 citations). Published in New England Journal of Medicine.

Countries where authors are citing Prognostic Value of Myeloperoxidase in Patients with Chest Pain

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This map shows the geographic impact of Prognostic Value of Myeloperoxidase in Patients with Chest Pain. 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 Prognostic Value of Myeloperoxidase in Patients with Chest Pain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prognostic Value of Myeloperoxidase in Patients with Chest Pain more than expected).

Fields of papers citing Prognostic Value of Myeloperoxidase in Patients with Chest Pain

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Prognostic Value of Myeloperoxidase in Patients with Chest Pain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Prognostic Value of Myeloperoxidase in Patients with Chest Pain.

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/10.1056/nejmoa035003.

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