E. Ohuma

944 citations
11 papers · 348 · h-index 7

Impact in

Papers in

E. Ohuma

10 papers receiving 345 citations

Peers

E. Ohuma
Comparison fields: 5 of 38
  • Obstetrics and Gynecology 152
  • Pediatrics, Perinatology and Child Health 153
  • Nutrition and Dietetics 27
  • Pulmonary and Respiratory Medicine 26
  • Health Informatics 1
Replace Aase Serine Devold Pay with:
Aase Serine Devold Pay Norway
HE Knight United Kingdom
Fikadu Waltengus Ethiopia
Francisco Edson de Lucena Feitosa Brazil
Jussara Mayrink Brazil
Tábata Z. Dias Brazil
Dalah Mason Canada
M. E. Hannah Canada
T. C. Chang United Kingdom
Vivienne Souter United States
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Citations per field
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Citations per year

Countries citing papers authored by E. Ohuma

Since Specialization
Citations

This map shows the geographic impact of E. Ohuma's research. 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 E. Ohuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Ohuma more than expected).

Fields of papers citing papers by E. Ohuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Ohuma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by E. Ohuma. The network helps show where E. Ohuma may publish in the future.

Co-authors

The 25 scholars most cited alongside E. Ohuma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Ohuma Line = papers co-authored together E. Ohuma links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2012103
2 201666
3 201360
4 201346
5 201339
6 201317
7 201314
8
Systematic review of the methodological quality of studies aimed at creating gestational weight gain charts
20161
9
Postnatal cardiac hypertrophy in infants born at term to hypertensive mothers
20181
10
Two-dimensional echocardiography estimates of fetal ventricular mass throughout gestation
20171
11 20160

About E. Ohuma

E. Ohuma is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology, Obstetrics and Gynecology, Nutrition and Dietetics and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 348 indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Pregnancy and preeclampsia studies (2 papers), Congenital Heart Disease Studies (2 papers), Obesity, Physical Activity, Diet (1 paper), Gestational Diabetes Research and Management (1 paper), Healthcare Systems and Public Health (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and demographic modeling and climate adaptation (1 paper). The work is most often cited by research in Obstetrics and Gynecology (152 citations), Pediatrics, Perinatology and Child Health (153 citations), Nutrition and Dietetics (27 citations), Pulmonary and Respiratory Medicine (26 citations) and Health Informatics (1 citation). E. Ohuma has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include DG Altman, Aris T. Papageorghiou, C. Ioannou, Ippokratis Sarris, José Villar, L. Hoch, Kevin Talbot, Agustín Conde‐Agudelo, Leila Cheikh Ismail and HE Knight. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, Ultrasound in Obstetrics and Gynecology, British Journal of Obstetrics and Gynaecology, Oxford University Research Archive (ORA) (University of Oxford) and eCommons - AKU (Aga Khan University).

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.

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