Ekopimo Ibia

466 citations
17 papers · 292 · h-index 9

Impact in

Papers in

Ekopimo Ibia

17 papers receiving 272 citations

Peers

Ekopimo Ibia
Comparison fields: 5 of 45
  • Applied Microbiology and Biotechnology 24
  • Statistics and Probability 78
  • Pharmacology 83
  • Immunology and Allergy 21
  • Toxicology 12
Replace Alexandra Păcurariu with:
Alexandra Păcurariu Netherlands
William Crawford United States
А. С. Колбин Russia
Jeremy A Schafer United States
José J. Hernández‐Muñoz United States
Johannes P. Mouton South Africa
H. Heatlie United Kingdom
Olga Delgado Sánchez Spain
Kent Garrett Australia
Emily C. Welch United States
Ekopimo Ibia relative to Alexandra Păcurariu Netherlands Alexandra Păcurariu's profile →
Citations per field
00.5×10.5×
Alexandra Păcurariu · 1×
Citations per year

Countries citing papers authored by Ekopimo Ibia

Since Specialization
Citations

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

Fields of papers citing papers by Ekopimo Ibia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ekopimo Ibia, 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 Ekopimo Ibia Line = papers co-authored together Ekopimo Ibia links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200088
2 200345
3 201041
4 200529
5 201118
6 201113
7 199211
8 201010
9 20119
10 20117
11 20136
12 20114
13 20114
14
Measles in Nigerian children in Calabar during the era of expanded programme on immunization.
19903
15 20112
16 20031
17 20151

About Ekopimo Ibia

Ekopimo Ibia is a scholar working on Economics and Econometrics, Statistics and Probability, General Health Professions, Physiology and Immunology, having authored 17 papers that have together received 292 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Statistical Methods in Clinical Trials (6 papers), Advanced Causal Inference Techniques (4 papers), Pharmaceutical Economics and Policy (3 papers), Biomedical Ethics and Regulation (2 papers), Antibiotic Use and Resistance (1 paper), Vaccine Coverage and Hesitancy (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (24 citations), Statistics and Probability (78 citations), Pharmacology (83 citations), Immunology and Allergy (21 citations) and Toxicology (12 citations). Ekopimo Ibia has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Richard H. Schwartz, Bernhard L. Wiedermann, Bruce Binkowitz, Andreas Pikis, Michael J. Sheridan, Yoko Tanaka, Joshua Chen, Shailendra Menjoge, Hui Quan and Gang Li. Their work appears in journals such as Drug Information Journal, Pharmaceutical Statistics, Therapeutic Innovation & Regulatory Science, Clinical Trials and PEDIATRICS.

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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