Gabriel Uko

400 citations
18 papers · 341 · h-index 9

Impact in

    • Complement system in diseases
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research
    • Rheumatoid Arthritis Research and Therapies

Papers in

    • Systemic Lupus Erythematosus Research 6
    • Rheumatoid Arthritis Research and Therapies 1
    • Complement system in diseases 2

Gabriel Uko

18 papers receiving 310 citations

Peers

Gabriel Uko
Comparison fields: 5 of 41
  • Immunology 136
  • Rheumatology 79
  • Genetics 67
  • Transplantation 7
  • Virology 7
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Citations per field
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Citations per year

Countries citing papers authored by Gabriel Uko

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Uko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 198377
2 200260
3 200033
4 200331
5 200331
6 198628
7
CR1 deficiency in SLE: acquired or genetic?
198519
8 198312
9 199911
10 19867
11
HLA class I phenotype and gene frequencies in parts of southern Nigeria.
19976
12 19996
13
Carboxyhaemoglobin levels in some Lagos dwellers--a pilot study.
19985
14 20005
15 19834
16 19853
17
Extractable nuclear antigen (ENA) autoantibodies in SLE: an immunogenetic relationship with HLA, C4 and Bf alleles.
19862
18
HLA, C4, Bf, Gm and autoantibodies in rheumatoid arthritis.
19881

About Gabriel Uko

Gabriel Uko is a scholar working on Rheumatology, Immunology, Genetics, Physiology and Dermatology, having authored 18 papers that have together received 341 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (6 papers), Genetic Associations and Epidemiology (3 papers), Forensic and Genetic Research (3 papers), Complement system in diseases (2 papers), Smoking Behavior and Cessation (1 paper), Hepatitis B Virus Studies (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper) and Skin Diseases and Diabetes (1 paper). The work is most often cited by research in Immunology (136 citations), Rheumatology (79 citations), Genetics (67 citations), Transplantation (7 citations) and Virology (7 citations). Gabriel Uko has collaborated with scholars based in United States, Australia and Nigeria. Frequent co-authors include Frank Christiansen, Roger L. Dawkins, Peter H. Kay, James McCluskey, Paul J Zilko, R.L. Dawkins, Edmond J. Yunis, Chester A. Alper, V. J. McCann and Devendra P. Dubey. Their work appears in journals such as Genes and Immunity, Vaccine, Clinical & Experimental Immunology, Journal of Clinical Immunology and Journal of Clinical Pathology.

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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