Janet Corral

965 citations
18 papers · 476 · 1 hit paper · h-index 8

Impact in

Papers in

Janet Corral

18 papers receiving 457 citations

Janet Corral's Hit Papers

A scoping review of artificial intelligence in medical education: BEME Guide No. 84 2024 · 186 citations
1860+1Years since publication50100150

Peers

Janet Corral
Comparison fields: 5 of 78
  • Health Informatics 126
  • Family Practice 62
  • Public Health, Environmental and Occupational Health 125
  • Issues, ethics and legal aspects 3
  • General Dentistry 4
Replace Mike Paget with:
Mike Paget Canada
Hussein Uraiby United Kingdom
Jan Griewatz Germany
Regina G. Russell United States
Natalia Stathakarou Sweden
Friederike Holderried Germany
Sanghee Yeo South Korea
Barron L. Patterson United States
Neville Chiavaroli Australia
Hannah Kerman United States
Janet Corral relative to Mike Paget Canada Mike Paget's profile →
Citations per field
00.5×3.2×
Mike Paget · 1×
Citations per year

Countries citing papers authored by Janet Corral

Since Specialization
Citations

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

Fields of papers citing papers by Janet Corral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Janet Corral, 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 Janet Corral Line = papers co-authored together Janet Corral links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
A scoping review of artificial intelligence in medical education: BEME Guide No. 84
Hit paper breakdown →
2024186
2 2015120
3 201770
4 201916
5 202016
6 201915
7 201611
8 20149
9 20197
10 20176
11 20175
12 20194
13 20213
14 20203
15 20172
16 20191
17 20171
18 20221

About Janet Corral

Janet Corral is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Family Practice, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 18 papers that have together received 476 indexed citations. Recurring topics across this work include Innovations in Medical Education (5 papers), Clinical Reasoning and Diagnostic Skills (3 papers), Simulation-Based Education in Healthcare (2 papers), Health Policy Implementation Science (2 papers), Empathy and Medical Education (2 papers), Health Sciences Research and Education (2 papers), Dermatological diseases and infestations (1 paper) and Anatomy and Medical Technology (1 paper). The work is most often cited by research in Health Informatics (126 citations), Family Practice (62 citations), Public Health, Environmental and Occupational Health (125 citations), Issues, ethics and legal aspects (3 citations) and General Dentistry (4 citations). Janet Corral has collaborated with scholars based in United States, Poland and Sweden. Frequent co-authors include Debnath Chatterjee, Nabil Zary, Inga Hege, Andrzej A. Kononowicz, Samuel Edelbring, Satid Thammasitboon, Ciaran Grafton‐Clarke, Michelle Daniel, Colin Michie and Nicole Y. Xu. Their work appears in journals such as Academic Medicine, Medical Teacher, BMC Medical Education, The FASEB Journal and American Journal of Medical Quality.

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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