Caroline E Morton
Impact in
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- Clinical Reasoning and Diagnostic Skills
Papers in
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- Scientific Computing and Data Management 2
- Academic Publishing and Open Access 2
- Co-authors
- Susan Smith (1 shared paper)Maria Toro-Troconis (1 shared paper)Sohag Saleh (1 shared paper)Harriet Forbes (3 shared papers)Charlotte Warren‐Gash (3 shared papers)Liam Smeeth (3 shared papers)Tobias Raupach (2 shared papers)Sven Anders (1 shared paper)
- Journals
- BMC Medical Education (3 papers)PLoS Medicine (1 paper)JMIR Medical Education (1 paper)The American Journal of Medicine (1 paper)BMJ evidence-based medicine (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Caroline E Morton
21 papers receiving 208 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 11
- Family Practice 15
- General Dentistry 8
- Computer Science Applications 18
- Education 65
Countries citing papers authored by Caroline E Morton
This map shows the geographic impact of Caroline E Morton'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 Caroline E Morton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline E Morton more than expected).
Fields of papers citing papers by Caroline E Morton
This network shows the impact of papers produced by Caroline E Morton. 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 Caroline E Morton. The network helps show where Caroline E Morton may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline E Morton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 107 | |
| 2 | 2021 | 19 | |
| 3 | 2020 | 15 | |
| 4 | 2018 | 13 | |
| 5 | 2020 | 8 | |
| 6 | 2021 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2019 | 7 | |
| 9 | 2024 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 2 | |
| 13 | The diet of some Uganda schoolgirls. | 1962 | 2 |
| 14 | 2024 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2016 | 1 |
About Caroline E Morton
Caroline E Morton is a scholar working on Information Systems and Management, Artificial Intelligence, Health, Health, Toxicology and Mutagenesis and Epidemiology, having authored 21 papers that have together received 212 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (2 papers), COVID-19 Clinical Research Studies (2 papers), Innovations in Medical Education (2 papers), Academic Publishing and Open Access (2 papers), Problem and Project Based Learning (2 papers), COVID-19 and healthcare impacts (2 papers), Health disparities and outcomes (2 papers) and Climate Change and Health Impacts (2 papers). The work is most often cited by research in Health Informatics (11 citations), Family Practice (15 citations), General Dentistry (8 citations), Computer Science Applications (18 citations) and Education (65 citations). Caroline E Morton has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Susan Smith, Maria Toro-Troconis, Sohag Saleh, Harriet Forbes, Charlotte Warren‐Gash, Liam Smeeth, Tobias Raupach, Sven Anders, Sue Smith and Matthew Williams. Their work appears in journals such as BMC Medical Education, PLoS Medicine, JMIR Medical Education, The American Journal of Medicine and BMJ evidence-based medicine.
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.