James Teo

5.9k total citations
94 papers, 2.4k citations indexed

About

James Teo is a scholar working on Neurology, Neurology and Artificial Intelligence. According to data from OpenAlex, James Teo has authored 94 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 20 papers in Neurology and 19 papers in Artificial Intelligence. Recurrent topics in James Teo's work include Transcranial Magnetic Stimulation Studies (18 papers), COVID-19 Clinical Research Studies (14 papers) and Machine Learning in Healthcare (14 papers). James Teo is often cited by papers focused on Transcranial Magnetic Stimulation Studies (18 papers), COVID-19 Clinical Research Studies (14 papers) and Machine Learning in Healthcare (14 papers). James Teo collaborates with scholars based in United Kingdom, United States and Italy. James Teo's 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 and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

James Teo

87 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
James Teo United Kingdom	29	800	779	477	448	293	94	2.4k
Jordi A. Matías‐Guiu Spain	33	424 0.5×	968 1.2×	687 1.4×	156 0.3×	134 0.5×	191	3.1k
Jae‐Hong Lee South Korea	30	549 0.7×	653 0.8×	509 1.1×	131 0.3×	194 0.7×	196	3.1k
Alexander Rae‐Grant United States	19	375 0.5×	649 0.8×	308 0.6×	137 0.3×	114 0.4×	56	3.5k
Gregory S. Day United States	25	399 0.5×	1.2k 1.5×	441 0.9×	135 0.3×	207 0.7×	119	3.6k
Curtis Tatsuoka United States	28	180 0.2×	498 0.6×	209 0.4×	61 0.1×	151 0.5×	141	2.6k
Chuanming Li China	24	238 0.3×	431 0.6×	537 1.1×	679 1.5×	75 0.3×	79	2.8k
Churl‐Su Kwon United States	23	220 0.3×	793 1.0×	483 1.0×	155 0.3×	647 2.2×	64	3.3k
Jonathan Dykeman Canada	18	193 0.2×	1.1k 1.5×	425 0.9×	137 0.3×	1.0k 3.5×	24	5.9k
Richard Dubinsky United States	29	424 0.5×	1.9k 2.4×	345 0.7×	73 0.2×	811 2.8×	55	4.4k
Paolo Rossi Italy	27	206 0.3×	560 0.7×	365 0.8×	59 0.1×	288 1.0×	72	2.5k

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-authorship network of co-authors of James Teo

This figure shows the co-authorship network connecting the top 25 collaborators of James Teo. A scholar is included among the top collaborators of James Teo 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 James Teo. James Teo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ellis, Hugh Logan, R. L. Eyres, Julie Whitney, et al.. (2025). What can we learn from 68 000 clinical frailty scale scores? Evaluating the utility of frailty assessment in emergency departments. Age and Ageing. 54(4). 7 indexed citations

Ellis, Hugh Logan, Julie Whitney, Dan Wilson, et al.. (2025). Can laboratory test-based frailty indices contribute to frailty screening in emergency departments?. Age and Ageing. 54(7). 1 indexed citations

Ellis, Hugh Logan, et al.. (2024). The burden of hyperkalaemia on hospital healthcare resources. Clinical and Experimental Medicine. 24(1). 190–190.

Ellis, Hugh Logan, et al.. (2024). Impact of hyperkalaemia on renin–angiotensin–aldosterone (RAAS) inhibitor reduction or withdrawal following hospitalisation. Clinical and Experimental Medicine. 25(1). 16–16.

Searle, Thomas, Zina Ibrahim, James Teo, & Richard Dobson. (2023). Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models. Journal of Biomedical Informatics. 141. 104358–104358. 18 indexed citations

Yeung, Joshua Au, et al.. (2023). AI chatbots not yet ready for clinical use. Frontiers in Digital Health. 5. 1161098–1161098. 99 indexed citations

Bean, Daniel, Željko Kraljević, Anthony Shek, James Teo, & Richard Dobson. (2023). Hospital-wide natural language processing summarising the health data of 1 million patients. SHILAP Revista de lepidopterología. 2(5). e0000218–e0000218. 7 indexed citations

Sadnicka, Anna, Lorenzo Rocchi, Anna Latorre, et al.. (2022). A Critical Investigation of Cerebellar Associative Learning in Isolated Dystonia. Movement Disorders. 37(6). 1187–1192. 10 indexed citations

Govind, Risha, Daniela Fonseca de Freitas, Megan Pritchard, et al.. (2022). COVID-related hospitalization, intensive care treatment, and all-cause mortality in patients with psychosis and treated with clozapine. European Neuropsychopharmacology. 56. 92–99. 5 indexed citations

10.

Farajidavar, Nazli, Kevin O’Gallagher, Daniel Bean, et al.. (2022). Diagnostic signature for heart failure with preserved ejection fraction (HFpEF): a machine learning approach using multi-modality electronic health record data. BMC Cardiovascular Disorders. 22(1). 567–567. 8 indexed citations

11.

Kraljević, Željko, Harold G. Parkes, Victoria Metaxa, et al.. (2021). Natural language word embeddings as a glimpse into healthcare language and associated mortality surrounding end of life. BMJ Health & Care Informatics. 28(1). e100464–e100464. 4 indexed citations

12.

Bean, Daniel, Željko Kraljević, Thomas Searle, et al.. (2020). Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers are Not Associated with Severe COVID-19 Infection in a Multi-Site UK Acute Hospital Trust. European Journal of Heart Failure. 22(6). 967–974. 152 indexed citations

13.

Fang, Cheng, et al.. (2020). Extent of pulmonary thromboembolic disease in patients with COVID-19 on CT: relationship with pulmonary parenchymal disease. Clinical Radiology. 75(10). 780–788. 19 indexed citations

14.

Spiegeleer, Anton De, Antoon Bronselaer, James Teo, et al.. (2020). The Effects of ARBs, ACEis, and Statins on Clinical Outcomes of COVID-19 Infection Among Nursing Home Residents. Journal of the American Medical Directors Association. 21(7). 909–914.e2. 127 indexed citations

15.

Galloway, James, Sam Norton, Richard D. Barker, et al.. (2020). A clinical risk score to identify patients with COVID-19 at high risk of critical care admission or death: An observational cohort study. Journal of Infection. 81(2). 282–288. 127 indexed citations

16.

Lakshminarayana, Rashmi, Duolao Wang, David J. Burn, et al.. (2017). Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson’s disease. npj Parkinson s Disease. 3(1). 77 indexed citations

17.

Fleming, Melanie K., John C. Rothwell, L. Sztriha, James Teo, & Di J. Newham. (2017). The effect of transcranial direct current stimulation on motor sequence learning and upper limb function after stroke. Clinical Neurophysiology. 128(7). 1389–1398. 35 indexed citations

18.

Kassavetis, Panagiotis, Matteo Bologna, James Teo, et al.. (2013). Cerebellum-dependent associative learning deficits in primary dystonia are normalized by rTMS and practice. European Journal of Neuroscience. 38(1). 2166–2171. 42 indexed citations

19.

Bestmann, Sven, Orlando Swayne, Felix Blankenburg, et al.. (2010). The Role of Contralesional Dorsal Premotor Cortex after Stroke as Studied with Concurrent TMS-fMRI. Journal of Neuroscience. 30(36). 11926–11937. 183 indexed citations

20.

Teo, James, Bart P.C. van de Warrenburg, Susanne A. Schneider, John C. Rothwell, & Kailash P. Bhatia. (2008). Neurophysiological evidence for cerebellar dysfunction in primary focal dystonia. Journal of Neurology Neurosurgery & Psychiatry. 80(1). 80–83. 100 indexed citations

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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