Ekopimo Ibia

465 citations
16 papers · 269 · h-index 9

Impact in

Papers in

Ekopimo Ibia

16 papers receiving 256 citations

Peers

Ekopimo Ibia
Comparison fields: 5 of 49
  • Applied Microbiology and Biotechnology 26
  • Statistics and Probability 86
  • Pharmacology 84
  • Immunology and Allergy 28
  • Toxicology 14
Replace Jeremy A Schafer with:
Jeremy A Schafer United States
José J. Hernández‐Muñoz United States
John Foxworth United States
А. С. Колбин Russia
Irene García-García Spain
Jason Seet Australia
Stefan Driessen Netherlands
Anders Helldén Sweden
Zakariya Kashour Canada
Johannes P. Mouton South Africa
Ekopimo Ibia relative to Jeremy A Schafer United States Jeremy A Schafer's profile →
Citations per field
00.5×10×14.3×
Jeremy A Schafer · 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 22 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

16 of 16 papers shown
#Work
1 200083
2 200339
3 201037
4 200528
5 201117
6 201113
7 199211
8 20119
9 20108
10 20136
11 20115
12 20114
13 20114
14
Measles in Nigerian children in Calabar during the era of expanded programme on immunization.
19903
15 20151
16 20111

About Ekopimo Ibia

Ekopimo Ibia is a scholar working on Economics and Econometrics, Statistics and Probability, Public Health, Environmental and Occupational Health, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 269 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Statistical Methods in Clinical Trials (7 papers), Advanced Causal Inference Techniques (4 papers), Pharmaceutical Economics and Policy (3 papers), Biomedical Ethics and Regulation (2 papers), Streptococcal Infections and Treatments (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (1 paper) and Food Allergy and Anaphylaxis Research (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (26 citations), Statistics and Probability (86 citations), Pharmacology (84 citations), Immunology and Allergy (28 citations) and Toxicology (14 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, Joshua Chen, Michael J. Sheridan, Shailendra Menjoge, Yoko Tanaka, Hui Quan and Gang Li. Their work appears in journals such as Drug Information Journal, Pharmaceutical Statistics, Clinical Trials, Therapeutic Innovation & Regulatory Science 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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