Tiffany Tong

704 total citations
26 papers, 458 citations indexed

About

Tiffany Tong is a scholar working on Psychiatry and Mental health, Critical Care and Intensive Care Medicine and Cognitive Neuroscience. According to data from OpenAlex, Tiffany Tong has authored 26 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Psychiatry and Mental health, 7 papers in Critical Care and Intensive Care Medicine and 6 papers in Cognitive Neuroscience. Recurrent topics in Tiffany Tong's work include Dementia and Cognitive Impairment Research (10 papers), Intensive Care Unit Cognitive Disorders (7 papers) and Technology Use by Older Adults (4 papers). Tiffany Tong is often cited by papers focused on Dementia and Cognitive Impairment Research (10 papers), Intensive Care Unit Cognitive Disorders (7 papers) and Technology Use by Older Adults (4 papers). Tiffany Tong collaborates with scholars based in Canada, United Kingdom and United States. Tiffany Tong's co-authors include Mark Chignell, Jacques Lee, Mary C. Tierney, Y.S. Wong, Esmond Mok, Moon Fai Chan, Jonathan H. Chan, Ricardo Guerrero, Robin Wolz and Christian Ledig and has published in prestigious journals such as NeuroImage, Journal of the American Geriatrics Society and Age and Ageing.

In The Last Decade

Tiffany Tong

25 papers receiving 448 citations

Peers

Tiffany Tong
Comparison fields: 5 of 99
  • Psychiatry and Mental health 136
  • Experimental and Cognitive Psychology 99
  • Cognitive Neuroscience 94
  • Developmental and Educational Psychology 81
  • Critical Care and Intensive Care Medicine 54
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Patricia Housen United States
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Huei‐Ling Chiu Taiwan
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Carolyn M. Parsey United States
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Tomoharu Yamaguchi Japan
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Citations per field, relative to Tiffany Tong
Tiffany Tong · 1×
Citations per year, relative to Tiffany Tong
Tiffany Tong · 1×

Countries citing papers authored by Tiffany Tong

Since Specialization
Citations

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

Fields of papers citing papers by Tiffany Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiffany Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Tiffany Tong. A scholar is included among the top collaborators of Tiffany Tong 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 Tiffany Tong. Tiffany Tong 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
# Work Indexed citations
1 0
2 13
3 19
4 18
5 12
6 2
7 3
8 20
9 4
10 33
11 86
12 5
13 19
14 14
15 37
16 13
17 21
18 1
19 16
20 55

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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