Jonathan Wang
Impact in
- Health Informatics top 10%
- Urology top 10%
- Urological Disorders and Treatments
Papers in
- Surgery 10
- Orthopedic Infections and Treatments 3
- Urinary and Genital Oncology Studies 2
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- graph theory and CDMA systems 2
- Co-authors
- Donald A. Redelmeier (5 shared papers)Amber Hunter (1 shared paper)Harindra C. Wijeysundera (1 shared paper)Jonathan C. Irish (1 shared paper)María Eberg (1 shared paper)Frances C. Wright (1 shared paper)Eun Ji Chung (2 shared papers)Lewis J. Thomas (2 shared papers)
- Journals
- The American Journal of Medicine (2 papers)Implant Dentistry (1 paper)Radiology (1 paper)Cellular and Molecular Bioengineering (1 paper)The Electronic Journal of Combinatorics (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Jonathan Wang
40 papers receiving 650 citations
Peers
Comparison fields: 5 of 131
- Health Informatics 15
- Urology 49
- Surgery 198
- Oncology 117
- Family Practice 9
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 119 | |
| 2 | 2020 | 112 | |
| 3 | 2013 | 41 | |
| 4 | 2017 | 38 | |
| 5 | 2011 | 35 | |
| 6 | 2022 | 26 | |
| 7 | 2019 | 25 | |
| 8 | 2011 | 24 | |
| 9 | 2021 | 23 | |
| 10 | 2020 | 23 | |
| 11 | 2014 | 21 | |
| 12 | 2021 | 19 | |
| 13 | 2015 | 17 | |
| 14 | 2024 | 15 | |
| 15 | 2010 | 14 | |
| 16 | 2006 | 12 | |
| 17 | 2007 | 12 | |
| 18 | 2019 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2022 | 8 |
About Jonathan Wang
Jonathan Wang is a scholar working on Surgery, Electrical and Electronic Engineering, Oncology, Health and General Health Professions, having authored 45 papers that have together received 677 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (3 papers), Orthopedic Infections and Treatments (3 papers), COVID-19 epidemiological studies (3 papers), graph theory and CDMA systems (2 papers), Urinary and Genital Oncology Studies (2 papers), High voltage insulation and dielectric phenomena (2 papers), Vascular Procedures and Complications (2 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Health Informatics (15 citations), Urology (49 citations), Surgery (198 citations), Oncology (117 citations) and Family Practice (9 citations). Jonathan Wang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Donald A. Redelmeier, Amber Hunter, Harindra C. Wijeysundera, Jonathan C. Irish, María Eberg, Frances C. Wright, Eun Ji Chung, Lewis J. Thomas, Nathan A. Brooks and Trinity J. Bivalacqua. Their work appears in journals such as The American Journal of Medicine, Implant Dentistry, Radiology, Cellular and Molecular Bioengineering and The Electronic Journal of Combinatorics.
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.