Jonathan Wang

40 papers receiving 650 citations

Peers

Jonathan Wang
Comparison fields: 5 of 131
  • Health Informatics 15
  • Urology 49
  • Surgery 198
  • Oncology 117
  • Family Practice 9
Replace Helen Kavnoudias with:
Helen Kavnoudias Australia
Chuan Zhou China
Kumar Jayant United Kingdom
Tzu‐Chieh Lin Taiwan
Michael Bonert Canada
Matthew D. Gardiner United Kingdom
Chan Ho Park South Korea
Thomas Herold Germany
Caroline A. Yao United States
Nicolae Crişan Romania
Jonathan Wang relative to Helen Kavnoudias Australia Helen Kavnoudias's profile →
Citations per field
00.5×
Helen Kavnoudias · 1×
Citations per year

Countries citing papers authored by Jonathan Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jonathan Wang Line = papers co-authored together Jonathan Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202415
4 20238
5 20231
6 20234
7 20234
8 20228
9 202123
10 202119
11 2020112
12 20195
13 201910
14 20199
15 20171
16 201517
17 20140
18
Role of clonal integration in life strategy of sandy dune plant, Eremosparton songoricum (Litv.) Vass (Fab aceae) : experimental
20115
19 200712
20 200612

About Jonathan Wang

Jonathan Wang is a scholar working on Health Informatics, Modeling and Simulation, General Decision Sciences, Family Practice and Transplantation, having authored 45 papers that have together received 677 indexed citations. Recurring topics across this work include Orthopedic Infections and Treatments (3 papers), Vaccine Coverage and Hesitancy (3 papers), COVID-19 epidemiological studies (3 papers), Robot Manipulation and Learning (2 papers), High voltage insulation and dielectric phenomena (2 papers), COVID-19 and healthcare impacts (2 papers), Orthopaedic implants and arthroplasty (2 papers) and Power Line Communications and Noise (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, Jonathan C. Irish, Harindra C. Wijeysundera, María Eberg, Frances C. Wright, Eun Ji Chung, Lewis J. Thomas, Trafford Crump and M. Eric Hyndman. Their work appears in journals such as The American Journal of Medicine, Implant Dentistry, Radiology, Cellular and Molecular Bioengineering and Journal of Gastrointestinal Surgery.

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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