Dependable C. Amaechi

1.4k citations
18 papers · 469 · 1 hit paper · h-index 6

Impact in

Papers in

Dependable C. Amaechi

15 papers receiving 448 citations

Hit Papers

The impact of simulation-based training in medical education: A review 2024 · 178 citations
1780+1Years since publication50100150

Peers

Dependable C. Amaechi
Comparison fields: 5 of 108
  • Health Informatics 93
  • Family Practice 18
  • Research and Theory 6
  • Health Information Management 19
  • Physiology 96
Replace Tochi C. Elendu with:
Tochi C. Elendu Nigeria
Chukwuka Elendu Nigeria
Fahad Iqbal United Kingdom
Saša Sopka Germany
Htoo Htoo Kyaw Soe Malaysia
Rachel Hicklen United States
Irfan Ahmed United Kingdom
Khalid Bajunaid Saudi Arabia
Adnan Ahmed United States
Michelle E. Tarver United States
Dependable C. Amaechi relative to Tochi C. Elendu Nigeria Tochi C. Elendu's profile →
Citations per field
00.5×1.5×
Tochi C. Elendu · 1×
Citations per year

Countries citing papers authored by Dependable C. Amaechi

Since Specialization
Citations

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

Fields of papers citing papers by Dependable C. Amaechi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dependable C. Amaechi. 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 Dependable C. Amaechi. The network helps show where Dependable C. Amaechi may publish in the future.

Co-authors

The 6 scholars most cited alongside Dependable C. Amaechi, 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 Dependable C. Amaechi Line = papers co-authored together Dependable C. Amaechi links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
The impact of simulation-based training in medical education: A review
Hit paper breakdown →
2024178
2 2023146
3 202346
4 202337
5 202416
6 202314
7 20255
8 20255
9 20245
10 20245
11 20234
12 20243
13 20242
14 20242
15 20231
16 20240
17 20240
18 20250

About Dependable C. Amaechi

Dependable C. Amaechi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Infectious Diseases, Molecular Biology and General Health Professions, having authored 18 papers that have together received 469 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (2 papers), Iron Metabolism and Disorders (2 papers), Coronary Interventions and Diagnostics (2 papers), Blood Pressure and Hypertension Studies (2 papers), Cardiac Health and Mental Health (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Connective tissue disorders research (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Health Informatics (93 citations), Family Practice (18 citations), Research and Theory (6 citations), Health Information Management (19 citations) and Physiology (96 citations). Dependable C. Amaechi has collaborated with scholars based in Nigeria, United States and United Kingdom. Frequent co-authors include Chukwuka Elendu, Tochi C. Elendu, Ijeoma D. Elendu, Emmanuel C. Amaechi, Emmanuel Egbunu and Ahmed Mohamed. Their work appears in journals such as Medicine and Annals of Medicine and Surgery.

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.

Explore authors with similar magnitude of impact