Daniel Okorodudu

7 papers receiving 448 citations

Hit Papers

Diagnostic performance of body mass index to identify obe...20142026201820222014100200300

Peers

Daniel Okorodudu
Comparison fields: 5 of 86
  • Public Health, Environmental and Occupational Health 274
  • Physiology 167
  • General Health Professions 100
  • Pediatrics, Perinatology and Child Health 84
  • Cardiology and Cardiovascular Medicine 49
Replace Nélson Nardo with:
Nélson Nardo Brazil
Nicole L. Mihalopoulos United States
Cláudia Ciceri Cesa Brazil
Magdalena Góźdź Poland
Grigoris Risvas Greece
Désirée C. Wilks United Kingdom
Lisa Vincze Australia
Paula Clara Santos Portugal
Tracy Schumacher Australia
Mona A. Eissa United States
Daniel Okorodudu relative to Nélson Nardo Brazil Nélson Nardo's profile →
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Citations per year

Countries citing papers authored by Daniel Okorodudu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Okorodudu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Okorodudu

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Okorodudu. A scholar is included among the top collaborators of Daniel Okorodudu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Okorodudu. Daniel Okorodudu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 7
2 13
3 58
4
APOE p.Leu167del-Related Lipid Disorders
2
5
Diagnostic performance of body mass index to identify obesity as defined by body adiposity in children and adolescents: a systematic review and meta‐analysisbreakdown →
349
6 5
7 33

About Daniel Okorodudu

Daniel Okorodudu is a scholar working on Family Practice, Modeling and Simulation and Applied Psychology, having authored 7 papers that have together received 467 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (2 papers), Systemic Lupus Erythematosus Research (2 papers) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (274 citations), Physiology (167 citations) and Pharmacy (30 citations). Daniel Okorodudu has collaborated with scholars based in United States, Qatar and Czechia. Frequent co-authors include Marwan Jumean, Seema Kumar, M. Hassan Murad, Asma Javed, Ondřej Sochor, Virend K. Somers, Francisco Lopez‐Jimenez, Leonor Corsino, Hayden B. Bosworth and Benjamín A. Shaw. Their work appears in journals such as The Lancet Respiratory Medicine, Annals of Medicine and Telemedicine Journal and e-Health.

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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