Tong Yang

961 citations
40 papers · 675 indexed · h-index 14
Topics
Surgical Simulation and Training (9 papers)Simulation-Based Education in Healthcare (9 papers)Innovations in Medical Education (5 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Tong Yang

36 papers receiving 638 citations

Peers

Tong Yang
Comparison fields: 5 of 126
  • Physiology 299
  • Public Health, Environmental and Occupational Health 179
  • Emergency Medical Services 157
  • Surgery 143
  • General Health Professions 119
Replace Chan Woong Kim with:
Chan Woong Kim South Korea
Michael Sinnott Australia
Jennifer Hayes United States
Tanja Birrenbach Switzerland
William M. Wilkerson United States
J. Jacobs Netherlands
Jolt Roukema Netherlands
Lauren Gordon Canada
Kevin Jones United Kingdom
Ben Morton United Kingdom
Tong Yang relative to Chan Woong Kim South Korea Chan Woong Kim's profile →
Citations per field
00.5×4.0×
Chan Woong Kim · 1×
Citations per year

Countries citing papers authored by Tong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Yang. A scholar is included among the top collaborators of Tong Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tong Yang. Tong Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 1
4 1
5 3
6 6
7 41
8 0
9 26
10 4
11 0
12 22
13
Clinical study of RDW and prognosis in sepsis new borns.
13
14 2
15 109
16 50
17 1
18 40
19 101
20 10

About Tong Yang

Tong Yang is a scholar working on Emergency Medical Services, Family Practice and Physiology, having authored 40 papers that have together received 675 indexed citations. Recurring topics across this work include Surgical Simulation and Training (9 papers), Simulation-Based Education in Healthcare (9 papers) and Innovations in Medical Education (5 papers). The work is most often cited by research in Emergency Medical Services (157 citations), Physiology (299 citations) and Emergency Medicine (77 citations). Tong Yang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include John T. Paige, Sheila W. Chauvin, Valeriy Kozmenko, Charles Hilton, Isidore Cohn, W. H. Swartz, Laura Bonanno, Qingzhao Yu, Deborah Garbee and Jie Yin. Their work appears in journals such as Journal of Clinical Oncology, Journal of Neuropathology & Experimental Neurology and Journal of the American College of Surgeons.

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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