Kevin Ching
Impact in
- Family Practice top 10%
- Emergency Medical Services top 10%
- Disaster Response and Management
Papers in
- Physiology 13
- Simulation-Based Education in Healthcare 13
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- Innovations in Medical Education 4
- Co-authors
- David Kessler (2 shared papers)Martin Pusic (2 shared papers)Marc Auerbach (2 shared papers)H. Shonna Yin (1 shared paper)Joy Howell (3 shared papers)Mark X. Cicero (1 shared paper)Jason Zigmont (1 shared paper)Antonio Riera (1 shared paper)
- Journals
- Simulation & Gaming (3 papers)Hospital Pediatrics (2 papers)Academic Pediatrics (1 paper)Proceedings of the National Academy of Sciences (1 paper)PEDIATRICS (1 paper)
- Partner nations
- United StatesIsraelQatar
In The Last Decade
Kevin Ching
22 papers receiving 341 citations
Peers
Comparison fields: 5 of 91
- Family Practice 22
- Emergency Medical Services 54
- Emergency Medicine 58
- Radiological and Ultrasound Technology 25
- Physiology 120
Countries citing papers authored by Kevin Ching
This map shows the geographic impact of Kevin Ching'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 Kevin Ching with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Ching more than expected).
Fields of papers citing papers by Kevin Ching
This network shows the impact of papers produced by Kevin Ching. 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 Kevin Ching. The network helps show where Kevin Ching may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Ching, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 55 | |
| 2 | 2013 | 52 | |
| 3 | 2018 | 49 | |
| 4 | 2016 | 44 | |
| 5 | 2014 | 38 | |
| 6 | 2020 | 37 | |
| 7 | 2021 | 14 | |
| 8 | 2011 | 13 | |
| 9 | 2018 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2016 | 8 | |
| 12 | 2017 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2018 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 2 |
About Kevin Ching
Kevin Ching is a scholar working on Physiology, Public Health, Environmental and Occupational Health, Emergency Medicine, Emergency Medical Services and Family Practice, having authored 26 papers that have together received 357 indexed citations. Recurring topics across this work include Simulation-Based Education in Healthcare (13 papers), Family and Patient Care in Intensive Care Units (5 papers), Clinical Reasoning and Diagnostic Skills (5 papers), Cardiac Arrest and Resuscitation (5 papers), Innovations in Medical Education (4 papers), Disaster Response and Management (3 papers), Patient Safety and Medication Errors (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Family Practice (22 citations), Emergency Medical Services (54 citations), Emergency Medicine (58 citations), Radiological and Ultrasound Technology (25 citations) and Physiology (120 citations). Kevin Ching has collaborated with scholars based in United States, Israel and Qatar. Frequent co-authors include David Kessler, Martin Pusic, Marc Auerbach, H. Shonna Yin, Joy Howell, Mark X. Cicero, Jason Zigmont, Antonio Riera, Carl R. Baum and Kapil Rajwani. Their work appears in journals such as Simulation & Gaming, Hospital Pediatrics, Academic Pediatrics, Proceedings of the National Academy of Sciences 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.