Jonathan Wang
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 and healthcare impacts
Papers in
- Health 5
- Vaccine Coverage and Hesitancy 5
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- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Donald A. Redelmeier (9 shared papers)Mustafa A. Biviji (2 shared papers)María Eberg (1 shared paper)Frances Catriona Wright (1 shared paper)Amber Hunter (1 shared paper)Jonathan Crawford Irish (1 shared paper)Harindra Channa Wijeysundera (1 shared paper)Donald L. Lamm (2 shared papers)
- Journals
- The American Journal of Medicine (4 papers)Medical Decision Making (1 paper)Nature (1 paper)Urologic Oncology Seminars and Original Investigations (1 paper)Journal of Biomaterials Applications (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Jonathan Wang
46 papers receiving 853 citations
Peers
Comparison fields: 5 of 107
- Health Informatics 32
- Oncology 155
- Emergency Medical Services 31
- Surgery 199
- Biomaterials 46
Countries citing papers authored by Jonathan Wang
This map shows the geographic impact of Jonathan Wang'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 Jonathan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Wang more than expected).
Fields of papers citing papers by Jonathan Wang
This network shows the impact of papers produced by Jonathan Wang. 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 Jonathan Wang. The network helps show where Jonathan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Wang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 143 | |
| 2 | 2020 | 126 | |
| 3 | 2022 | 67 | |
| 4 | 2013 | 47 | |
| 5 | 2017 | 43 | |
| 6 | 2011 | 35 | |
| 7 | 2022 | 32 | |
| 8 | 2021 | 28 | |
| 9 | 2019 | 26 | |
| 10 | 2020 | 25 | |
| 11 | 2021 | 24 | |
| 12 | 2022 | 24 | |
| 13 | 2024 | 24 | |
| 14 | 2011 | 23 | |
| 15 | 2014 | 22 | |
| 16 | 2020 | 20 | |
| 17 | 2015 | 18 | |
| 18 | 2010 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2007 | 13 |
About Jonathan Wang
Jonathan Wang is a scholar working on Health, Health Informatics, Surgery, Oncology and Discrete Mathematics and Combinatorics, having authored 52 papers that have together received 876 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), High voltage insulation and dielectric phenomena (3 papers), Power Transformer Diagnostics and Insulation (3 papers), Orthopaedic implants and arthroplasty (2 papers), Traffic and Road Safety (2 papers), Advanced Combinatorial Mathematics (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Health Informatics (32 citations), Oncology (155 citations), Emergency Medical Services (31 citations), Surgery (199 citations) and Biomaterials (46 citations). Jonathan Wang has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Donald A. Redelmeier, Mustafa A. Biviji, María Eberg, Frances Catriona Wright, Amber Hunter, Jonathan Crawford Irish, Harindra Channa Wijeysundera, Donald L. Lamm, Daniel Seita and M. Eric Hyndman. Their work appears in journals such as The American Journal of Medicine, Medical Decision Making, Nature, Urologic Oncology Seminars and Original Investigations and Journal of Biomaterials Applications.
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.