Eric Adua

42 papers receiving 637 citations

Peers

Eric Adua
Comparison fields: 5 of 105
  • Health Informatics 12
  • Obstetrics and Gynecology 49
  • Health Information Management 28
  • Pediatrics, Perinatology and Child Health 105
  • Cardiology and Cardiovascular Medicine 102
Replace Tinashe Chikowore with:
Tinashe Chikowore South Africa
Ashwini Soman United States
Jenny Park United States
Chanhyun Park United States
Teppei Suzuki Japan
Marta Mańczuk Poland
Carla Lluís-Ganella Spain
Bochen Cao United States
J. van de Ven Netherlands
Eric Adua relative to Tinashe Chikowore South Africa Tinashe Chikowore's profile →
Citations per field
00.5×8.2×
Tinashe Chikowore · 1×
Citations per year

Countries citing papers authored by Eric Adua

Since Specialization
Citations

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

Fields of papers citing papers by Eric Adua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Adua. 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 Eric Adua. The network helps show where Eric Adua may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric Adua, 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 Eric Adua Line = papers co-authored together Eric Adua links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202169
2 201862
3 201758
4 202039
5 201835
6 201735
7 201732
8 201826
9 201924
10 202119
11 201919
12 202218
13 201817
14 202116
15 201816
16 201715
17 201914
18 201812
19 202411
20 202310

About Eric Adua

Eric Adua is a scholar working on Molecular Biology, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Genetics, having authored 43 papers that have together received 645 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (8 papers), Glycosylation and Glycoproteins Research (7 papers), Diabetes and associated disorders (4 papers), Cardiovascular Health and Risk Factors (4 papers), Obesity, Physical Activity, Diet (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Insect Pest Control Strategies (2 papers) and Global Maternal and Child Health (2 papers). The work is most often cited by research in Health Informatics (12 citations), Obstetrics and Gynecology (49 citations), Health Information Management (28 citations), Pediatrics, Perinatology and Child Health (105 citations) and Cardiology and Cardiovascular Medicine (102 citations). Eric Adua has collaborated with scholars based in Australia, Ghana and China. Frequent co-authors include Wei Wang, Peter Roberts, Enoch Odame Anto, Alyce Russell, Esther Adama, Kwasi Frimpong, Sara Bayes, Emmanuel Acheampong, Evalotte Mörelius and Xia Li. Their work appears in journals such as Australasian Journal of Paramedicine, The EPMA Journal, PLoS ONE, OMICS A Journal of Integrative Biology and Scientific Reports.

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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