Innocent Ogunmwonyi

654 citations
5 papers · 272 · 1 hit paper · h-index 3

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

Innocent Ogunmwonyi

5 papers receiving 269 citations

Innocent Ogunmwonyi's Hit Papers

Breast cancer: presentation, investigation and management 2022 · 262 citations
2620+1+2Years since publication50100150200250

Peers

Innocent Ogunmwonyi
Comparison fields: 5 of 63
  • Cancer Research 59
  • Oncology 58
  • Molecular Biology 95
  • Toxicology 4
  • Biomaterials 16
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Ying Fu China
Nüket Eliyatkın Türkiye
San-Gang Wu China
Joy McCarthy Canada
Candela Cives-Losada Spain
Lorenzo Prever Italy
Agnieszka Budny Poland
Haigang Geng China
Bożena Kukiełka-Budny Poland
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Countries citing papers authored by Innocent Ogunmwonyi

Since Specialization
Citations

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

Fields of papers citing papers by Innocent Ogunmwonyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Innocent Ogunmwonyi, 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 Innocent Ogunmwonyi Line = papers co-authored together Innocent Ogunmwonyi links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Breast cancer: presentation, investigation and management
Hit paper breakdown →
2022262
2 20225
3 20223
4 20231
5 20221

About Innocent Ogunmwonyi

Innocent Ogunmwonyi is a scholar working on Pathology and Forensic Medicine, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 5 papers that have together received 272 indexed citations. Recurring topics across this work include Vitamin D Research Studies (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Breast Cancer Treatment Studies (1 paper), Psychosomatic Disorders and Their Treatments (1 paper), Digestive system and related health (1 paper), Cardiac Arrhythmias and Treatments (1 paper), BRCA gene mutations in cancer (1 paper) and Breast Lesions and Carcinomas (1 paper). The work is most often cited by research in Cancer Research (59 citations), Oncology (58 citations), Molecular Biology (95 citations), Toxicology (4 citations) and Biomaterials (16 citations). Innocent Ogunmwonyi has collaborated with scholars based in United Kingdom and Netherlands. Frequent co-authors include Sunita Saha, Hadyn Kankam, Utkarsh Ojha, Adewale Adebajo, J. Mark Wilkinson, Arjun Nathan, Simon Fleming and Peter A. Brennan. Their work appears in journals such as Current Cardiology Reviews, Frontiers in Endocrinology, JMIR Research Protocols, Molecular Syndromology and British Journal of Hospital Medicine.

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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