Federal University of Health Sciences, Otukpo

3k citations
317 papers ·

Impact in

Papers in

    • Freshwater macroinvertebrate diversity and ecology 26
    • Food and Agricultural Sciences 7

Federal University of Health Sciences, Otukpo

244 papers receiving 3k citations

Peers

Federal University of Health Sciences, Otukpo
Comparison fields: 5 of 164
  • Drug Discovery 7
  • Computational Theory and Mathematics 329
  • Ecology 230
  • Applied Microbiology and Biotechnology 23
  • Electrical and Electronic Engineering 530
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Federal University of Health Sciences, Otukpo relative to Mountain Top University Nigeria Mountain Top University's profile →
Citations per field
00.5×2×4×6×7.3×
Mountain Top University · 1×
Citations per year

Countries citing scholars working at Federal University of Health Sciences, Otukpo

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Federal University of Health Sciences, Otukpo. 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 papers produced at Federal University of Health Sciences, Otukpo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federal University of Health Sciences, Otukpo more than expected).

Fields of papers published by authors at Federal University of Health Sciences, Otukpo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Federal University of Health Sciences, Otukpo at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Federal University of Health Sciences, Otukpo at the time of their publication.

About Federal University of Health Sciences, Otukpo

In recent decades, authors affiliated with Federal University of Health Sciences, Otukpo have published 317 papers, which have received a total of 3k indexed citations . Scholars at this organization have produced 27 papers in Ecology, 18 papers in Food Science, 10 papers in Biomaterials, 13 papers in Computational Theory and Mathematics and 9 papers in Pollution on the topics of Freshwater macroinvertebrate diversity and ecology (26 papers), Perovskite Materials and Applications (25 papers), Medicinal Plant Research (12 papers), Computational Drug Discovery Methods (12 papers), TiO2 Photocatalysis and Solar Cells (10 papers), Natural Antidiabetic Agents Studies (9 papers), Heavy metals in environment (8 papers) and Food and Agricultural Sciences (7 papers). Their work is cited by papers focused on Drug Discovery (7 citations), Computational Theory and Mathematics (329 citations), Ecology (230 citations), Applied Microbiology and Biotechnology (23 citations) and Electrical and Electronic Engineering (530 citations). Authors at Federal University of Health Sciences, Otukpo collaborate with scholars in Nigeria, Uganda and United States and have published in prestigious journals including Scientific Reports, Natural Product Communications, Heliyon, Journal of Cellular and Molecular Medicine and F1000Research. Some of Federal University of Health Sciences, Otukpo's most productive authors include Eli Danladi, Temidayo Oluwatosin Omotehinwa, Patrick Maduabuchi Aja, O.U. Orji, Peter Chinedu Agu, Ernest Mbamalu Ezeh, Emmanuel Ike Ugwuja, Cyprian O. Ogbu, Celestine Azubuike Afiukwa and David Opeoluwa Oyewola.

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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