Estimation of human body surface area from height and weight.

492 indexed citations
published 1970

Impact in

Classified as

Journal
PubMed

In The Last Decade

doi.org/w31217712 →

Countries where authors are citing Estimation of human body surface area from height and weight.

Specialization
Citations

This map shows the geographic impact of Estimation of human body surface area from height and weight.. 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 Estimation of human body surface area from height and weight. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Estimation of human body surface area from height and weight. more than expected).

Fields of papers citing Estimation of human body surface area from height and weight.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Estimation of human body surface area from height and weight.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Estimation of human body surface area from height and weight..

About Estimation of human body surface area from height and weight.

This paper, published in 1970, received 492 indexed citations . Written by E. A. Gehan and Stephen L. George covering the research area of Physiology. It is primarily cited by scholars working on Physiology (112 citations), Nephrology (71 citations), Cardiology and Cardiovascular Medicine (69 citations), Oncology (66 citations) and Pulmonary and Respiratory Medicine (64 citations). Published in PubMed.

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/w31217712.

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