James Teo

6.1k citations
97 papers · 2.7k · h-index 31

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Neurology top 1%
    • Transcranial Magnetic Stimulation Studies
    • Neurological disorders and treatments
    • Botulinum Toxin and Related Neurological Disorders
    • Vestibular and auditory disorders

Papers in

James Teo

89 papers receiving 2.6k citations

Peers

James Teo
Comparison fields: 5 of 133
  • Health Informatics 167
  • Neurology 765
  • Neurology 602
  • Infectious Diseases 358
  • Cognitive Neuroscience 392
Replace Haris I. Sair with:
Haris I. Sair United States
Sachin Agarwal United States
Jordi A. Matías‐Guiu Spain
Catherine R. Jutzeler Switzerland
William B. Gormley United States
Miloš Ajčević Italy
Guido J. Falcone United States
Lara Jehi United States
Κonstantinos Vadikolias Greece
Soojin Park United States
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Citations per field
00.5×2×4×6×8×9.9×
Haris I. Sair · 1×
Citations per year

Countries citing papers authored by James Teo

Since Specialization
Citations

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

Fields of papers citing papers by James Teo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010192
2 2020152
3 2020130
4 2020128
5 2023114
6 2008103
7 2012101
8 201395
9 200781
10 201780
11 201177
12 201071
13 202260
14 200956
15 201153
16 202453
17 200751
18 201150
19 201648
20 200845

About James Teo

James Teo is a scholar working on Neurology, Artificial Intelligence, Neurology, Epidemiology and Infectious Diseases, having authored 97 papers that have together received 2.7k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (18 papers), Machine Learning in Healthcare (11 papers), COVID-19 Clinical Research Studies (10 papers), Muscle activation and electromyography studies (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), Electronic Health Records Systems (6 papers), Acute Ischemic Stroke Management (6 papers) and Neurological disorders and treatments (5 papers). The work is most often cited by research in Health Informatics (167 citations), Neurology (765 citations), Neurology (602 citations), Infectious Diseases (358 citations) and Cognitive Neuroscience (392 citations). James Teo has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include John C. Rothwell, Kailash P. Bhatia, Mark J. Edwards, Richard Dobson, Orlando Swayne, Daniel Bean, Željko Kraljević, Binith Cheeran, Ajay M. Shah and Richard Greenwood. Their work appears in journals such as Clinical Neurophysiology, PLoS ONE, npj Digital Medicine, Movement Disorders and Journal of Neurology Neurosurgery & Psychiatry.

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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