E. U. Etuk

17 papers receiving 308 citations

Peers

E. U. Etuk
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 199
  • Forestry 31
  • Biochemistry 42
  • Pharmacology 61
  • Complementary and alternative medicine 57
Replace Samuel O. Onoja with:
Samuel O. Onoja Nigeria
MT Yakubu Nigeria
AT Oladiji Nigeria
Maxwell I. Ezeja Nigeria
Félicien Mushagalusa Kasali Democratic Republic of the Congo
Kossi Metowogo Togo
Isaac Gbadura Adanlawo Nigeria
Morad Hebi Portugal
Y Tanko Nigeria
Michael Buenor Adinortey Ghana
E. U. Etuk relative to Samuel O. Onoja Nigeria Samuel O. Onoja's profile →
Citations per field
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Samuel O. Onoja · 1×
Citations per year

Countries citing papers authored by E. U. Etuk

Since Specialization
Citations

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

Fields of papers citing papers by E. U. Etuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. U. Etuk. 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. U. Etuk. The network helps show where E. U. Etuk may publish in the future.

Co-authors

The 9 scholars most cited alongside E. U. Etuk, 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. U. Etuk Line = papers co-authored together E. U. Etuk links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Animals models for studying diabetes mellitus.
2010188
2
Ethnobotanical survey of medicinal plants used for the treatment of Diabetes mellitus in the north western region of Nigeria.
201036
3 200929
4 200928
5 200918
6 200916
7
Anti diabetic Activity Of Ethanolic Seed Extract Of Corchorus olitorius
201312
8 20097
9
Antibacterial and surgical wound healing properties of ethanolic leaf extracts of Swietenia mahogoni and Carapa procera
20114
10 20094
11 20064
12 20094
13 20152
14 20101
15 20141
16 20221
17 20161

About E. U. Etuk

E. U. Etuk is a scholar working on Plant Science, Endocrinology, Diabetes and Metabolism, Pharmacology, Reproductive Medicine and Forestry, having authored 17 papers that have together received 356 indexed citations. Recurring topics across this work include Ethnobotanical and Medicinal Plants Studies (7 papers), Natural Antidiabetic Agents Studies (5 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Sperm and Testicular Function (2 papers), Phytochemistry and Bioactive Compounds (2 papers), African Botany and Ecology Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (199 citations), Forestry (31 citations), Biochemistry (42 citations), Pharmacology (61 citations) and Complementary and alternative medicine (57 citations). E. U. Etuk has collaborated with scholars based in Nigeria and Czechia. Frequent co-authors include Shaibu Oricha Bello, S A Isezuo, MJ Ladan, O. P. Ajagbonna, P.A. Onyeyili, Sanusi Wara Hassan, C. A. Eze, Kennedy F. Chah and Orish Ebere Orisakwe. Their work appears in journals such as Research Journal of Medicinal Plant, Journal of Pharmacology and Toxicology, Journal of Basic and Clinical Physiology and Pharmacology, African Journal of Pharmacy and Pharmacology and Journal of Medicinal Plants Research.

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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