New Japanese neonatal anthropometric charts for gestational age at birth

280 indexed citations

Abstract

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About

This paper, published in 2014, received 280 indexed citations. Written by Kazuo Itabashi, Fumihiro Miura, Ritei Uehara and Yoshikazu Nakamura covering the research area of Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology. It is primarily cited by scholars working on Pediatrics, Perinatology and Child Health (198 citations), Obstetrics and Gynecology (126 citations) and Pulmonary and Respiratory Medicine (90 citations). Published in Pediatrics International.

Countries where authors are citing New Japanese neonatal anthropometric charts for gestational age at birth

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Citations

This map shows the geographic impact of New Japanese neonatal anthropometric charts for gestational age at birth. 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 New Japanese neonatal anthropometric charts for gestational age at birth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites New Japanese neonatal anthropometric charts for gestational age at birth more than expected).

Fields of papers citing New Japanese neonatal anthropometric charts for gestational age at birth

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of New Japanese neonatal anthropometric charts for gestational age at birth. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the New Japanese neonatal anthropometric charts for gestational age at birth.

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/10.1111/ped.12331.

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