Mean Age of Mothers is on the Rise: United States, 2000-2014.

349 indexed citations
published 2016
Journal
PubMed

In The Last Decade

doi.org/w71035450 →

Countries where authors are citing Mean Age of Mothers is on the Rise: United States, 2000-2014.

Specialization
Citations

This map shows the geographic impact of Mean Age of Mothers is on the Rise: United States, 2000-2014.. 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 Mean Age of Mothers is on the Rise: United States, 2000-2014. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mean Age of Mothers is on the Rise: United States, 2000-2014. more than expected).

Fields of papers citing Mean Age of Mothers is on the Rise: United States, 2000-2014.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Mean Age of Mothers is on the Rise: United States, 2000-2014.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Mean Age of Mothers is on the Rise: United States, 2000-2014..

About Mean Age of Mothers is on the Rise: United States, 2000-2014.

This paper, published in 2016, received 349 indexed citations . Written by T J Mathews and Brady E Hamilton covering the research area of Pediatrics, Perinatology and Child Health, Health and Emergency Medical Services. It is primarily cited by scholars working on Pediatrics, Perinatology and Child Health (154 citations), Public Health, Environmental and Occupational Health (105 citations) and Obstetrics and Gynecology (104 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/w71035450.

Explore hit-papers with similar magnitude of impact

Breakdown of academic impact, for the paper Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015Breakdown of academic impact, for the paper YOLO v3-Tiny: Object Detection and Recognition using one stage improved modelBreakdown of academic impact, for the paper Tracking Air Pollution in China: Near Real-Time PM 2.5 Retrievals from Multisource Data FusionBreakdown of academic impact, for the paper Phase III, Open-Label, Randomized Study Comparing Concurrent Gemcitabine Plus Cisplatin and Radiation Followed by Adjuvant Gemcitabine and Cisplatin Versus Concurrent Cisplatin and Radiation in Patients With Stage IIB to IVA Carcinoma of the CervixBreakdown of academic impact, for the paper Preterm Heart in Adult LifeBreakdown of academic impact, for the paper CNS Efficacy of Osimertinib in Patients With T790M-Positive Advanced Non–Small-Cell Lung Cancer: Data From a Randomized Phase III Trial (AURA3)Breakdown of academic impact, for the paper Epithelial–Mesenchymal Transition Is Associated with a Distinct Tumor Microenvironment Including Elevation of Inflammatory Signals and Multiple Immune Checkpoints in Lung AdenocarcinomaBreakdown of academic impact, for the paper Planning-oriented Autonomous DrivingBreakdown of academic impact, for the paper Scutellaria baicalensis Georgi. (Lamiaceae): a review of its traditional uses, botany, phytochemistry, pharmacology and toxicologyBreakdown of academic impact, for the paper Transfer Learning in Deep Reinforcement Learning: A Survey
Rankless by CCL
2026