Ellen Wang

876 citations
60 papers · 559 · h-index 14

Impact in

Papers in

Ellen Wang

56 papers receiving 544 citations

Peers

Ellen Wang
Comparison fields: 5 of 112
  • Human-Computer Interaction 41
  • Pediatrics, Perinatology and Child Health 101
  • Anesthesiology and Pain Medicine 24
  • Radiological and Ultrasound Technology 19
  • Health Informatics 5
Replace Vinayak Smith with:
Vinayak Smith Australia
Benjamin Noah United States
Christine Park United States
Ritesh Rikain Warty Australia
Vikas N. O’Reilly-Shah United States
Aleksandra Jovičić Canada
Aleksandra E. Olszewski United States
Sean Delshad United States
Laura McMillan United Kingdom
Yue Huang United States
Ellen Wang relative to Vinayak Smith Australia Vinayak Smith's profile →
Citations per field
00.5×2.7×
Vinayak Smith · 1×
Citations per year

Countries citing papers authored by Ellen Wang

Since Specialization
Citations

This map shows the geographic impact of Ellen 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 Ellen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Wang more than expected).

Fields of papers citing papers by Ellen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen 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 Ellen Wang. The network helps show where Ellen Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ellen 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 Ellen Wang Line = papers co-authored together Ellen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201665
2 200648
3 202029
4 202122
5 202222
6 201821
7 202120
8 202018
9 202018
10 202016
11 202315
12 201915
13 201515
14 201214
15 202011
16 202011
17 202011
18 202210
19 20179
20 20149

About Ellen Wang

Ellen Wang is a scholar working on Pediatrics, Perinatology and Child Health, Surgery, Human-Computer Interaction, Public Health, Environmental and Occupational Health and Physiology, having authored 60 papers that have together received 559 indexed citations. Recurring topics across this work include Pediatric Pain Management Techniques (12 papers), Simulation-Based Education in Healthcare (3 papers), Virtual Reality Applications and Impacts (3 papers), Surgical site infection prevention (3 papers), Enhanced Recovery After Surgery (3 papers), Anesthesia and Pain Management (3 papers), Patient Safety and Medication Errors (2 papers) and Surgical Simulation and Training (2 papers). The work is most often cited by research in Human-Computer Interaction (41 citations), Pediatrics, Perinatology and Child Health (101 citations), Anesthesiology and Pain Medicine (24 citations), Radiological and Ultrasound Technology (19 citations) and Health Informatics (5 citations). Ellen Wang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Thomas J. Caruso, Samuel Rodríguez, Elizabeth De Souza, Thomas A. Anderson, Jenny Karlsson, Urs B. Hagemann, Olav B. Ryan, Roger M. Bjerke, Alan Cuthbertson and Ole A. Andersen. Their work appears in journals such as Journal of Clinical Anesthesia, Anesthesia & Analgesia, Pediatric Anesthesia, Journal of Racial and Ethnic Health Disparities and Current Opinion in Anaesthesiology.

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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