Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics

12.4k indexed citations
published 2012

Countries where authors are citing Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics

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Citations

This map shows the geographic impact of Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. 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 Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics more than expected).

Fields of papers citing Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics.

About Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics

This paper, published in 2012, received 12.4k indexed citations . Written by Yoshinobu Kanda covering the research area of Pathology and Forensic Medicine and Statistics and Probability. It is primarily cited by scholars working on Surgery (3.3k citations), Pulmonary and Respiratory Medicine (2.9k citations) and Oncology (2.4k citations). Published in Bone Marrow Transplantation.

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/bmt.2012.244.

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