Hugh Nolan
About
Hugh Nolan is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine.
According to data from OpenAlex, Hugh Nolan has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Hugh Nolan's work include EEG and Brain-Computer Interfaces (12 papers), Neural dynamics and brain function (8 papers) and Functional Brain Connectivity Studies (8 papers). Hugh Nolan is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Neural dynamics and brain function (8 papers) and Functional Brain Connectivity Studies (8 papers). Hugh Nolan collaborates with scholars based in Ireland, United States and United Kingdom. Hugh Nolan's co-authors include Richard B. Reilly, Robert Whelan, Rose Anne Kenny, Matthew O’Connell, Ciarán Finucane, George M. Savva, Hilary Cronin, Chie Wei Fan, Christopher Soraghan and Róisín Lonergan and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
In The Last Decade
Hugh Nolan
39 papers receiving 1.5k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hugh Nolan Ireland | 18 | 882 | 367 | 242 | 168 | 132 | 41 | 1.5k | ||
| Jorge Iriarte Spain | 22 | 986 1.1× | 201 0.5× | 58 0.2× | 157 0.9× | 199 1.5× | 50 | 1.9k | ||
| Paul L. Furlong United Kingdom | 30 | 1.6k 1.8× | 158 0.4× | 244 1.0× | 60 0.4× | 66 0.5× | 68 | 2.6k | ||
| Liangsuo Ma United States | 17 | 727 0.8× | 343 0.9× | 99 0.4× | 123 0.7× | 25 0.2× | 47 | 1.4k | ||
| Molly Erickson United States | 15 | 808 0.9× | 207 0.6× | 173 0.7× | 203 1.2× | 44 0.3× | 41 | 1.4k | ||
| Nicola Marzano Italy | 26 | 1.6k 1.8× | 246 0.7× | 173 0.7× | 106 0.6× | 22 0.2× | 46 | 2.3k | ||
| Edward L. Maclin United States | 25 | 1.2k 1.3× | 284 0.8× | 40 0.2× | 180 1.1× | 20 0.2× | 44 | 2.0k | ||
| Eduardo Henrik Aubert Cuba | 21 | 843 1.0× | 84 0.2× | 71 0.3× | 52 0.3× | 38 0.3× | 43 | 1.2k | ||
| Claus Reinsberger Germany | 21 | 1.0k 1.2× | 315 0.9× | 64 0.3× | 78 0.5× | 97 0.7× | 60 | 1.8k | ||
| David Shannahoff‐Khalsa United States | 21 | 533 0.6× | 229 0.6× | 125 0.5× | 284 1.7× | 13 0.1× | 48 | 1.4k | ||
| Audrey Winter United States | 13 | 2.0k 2.3× | 71 0.2× | 156 0.6× | 328 2.0× | 49 0.4× | 26 | 2.8k |
Countries citing papers authored by Hugh Nolan
Since
Specialization
Citations
This map shows the geographic impact of Hugh Nolan'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 Hugh Nolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugh Nolan more than expected).
Fields of papers citing papers by Hugh Nolan
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Hugh Nolan. 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 Hugh Nolan. The network helps show where Hugh Nolan may publish in the future.
Co-authorship network of co-authors of Hugh Nolan
This figure shows the co-authorship network connecting the top 25 collaborators of Hugh Nolan. A scholar is included among the top collaborators of Hugh Nolan 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 Hugh Nolan. Hugh Nolan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Rueda‐Delgado, Laura M., Alison R. Buick, Orla Hardiman, et al.. (2023). Feasibility of real world end‐points of functional neurophysiology in Alzheimer’s disease dementia. Alzheimer s & Dementia. 19(S11).
2.
Newman, Louise, John D. O’Connor, Hugh Nolan, Richard B. Reilly, & Rose Anne Kenny. (2022). Age and sex related differences in orthostatic cerebral oxygenation: Findings from 2764 older adults in the Irish Longitudinal Study on Ageing (TILDA). Experimental Gerontology. 167. 111903–111903.
3.
Farina, Francesca R, Alison R. Buick, Marina Krylova, et al.. (2022). Neuroscience from the comfort of your home: Repeated, self-administered wireless dry EEG measures brain function with high fidelity. Frontiers in Digital Health. 4. 944753–944753.
4.
McGuinness, Bernadette, Brian Murphy, Hugh Nolan, et al.. (2021). Feasibility of Repeated Assessment of Cognitive Function in Older Adults Using a Wireless, Mobile, Dry-EEG Headset and Tablet-Based Games. Frontiers in Psychiatry. 12. 574482–574482.
5.
Briggs, Robert, Daniel Carey, Triona McNicholas, et al.. (2019). The association between frontal lobe perfusion and depressive symptoms in later life. The British Journal of Psychiatry. 214(4). 230–236.
6.
Carey, Daniel, Hugh Nolan, Rose Anne Kenny, & James F. Meaney. (2019). Dissociable age and memory relationships with hippocampal subfield volumes in vivo:Data from the Irish Longitudinal Study on Ageing (TILDA). Scientific Reports. 9(1). 10981–10981.
7.
Briggs, Robert, Daniel Carey, Triona McNicholas, et al.. (2018). The association between antidepressant use and orthostatic hypotension in older people: a matched cohort study. Journal of the American Society of Hypertension. 12(8). 597–604.e1.
8.
Carey, Daniel, Hugh Nolan, Rose Anne Kenny, & James F. Meaney. (2018). Cortical covariance networks in ageing: Cross-sectional data from the Irish Longitudinal Study on Ageing (TILDA). Neuropsychologia. 122. 51–61.
9.
Kiiski, Hanni, Edmund C. Lalor, Hugh Nolan, et al.. (2016). Delayed P100-Like Latencies in Multiple Sclerosis: A Preliminary Investigation Using Visual Evoked Spread Spectrum Analysis. PLoS ONE. 11(1). e0146084–e0146084.
10.
McCrory, Cathal, Ciarán Finucane, John Frewen, et al.. (2014). Social Disadvantage and Social Isolation Are Associated With a Higher Resting Heart Rate: Evidence From The Irish Longitudinal Study on Ageing. The Journals of Gerontology Series B. 71(3). 463–473.
11.
Dunne, Laura, Heather Cronin, Ciarán Finucane, et al.. (2013). A SIGNAL PROCESSING FRAMEWORK FOR OBJECTIVE SLEEP AND PHYSICAL ACTIVITY MEASUREMENT USING ACCELEROMETRY IN POPULATION STUDIES OF OLDER ADULTS. Age and Ageing.
12.
Balsters, Joshua H., Redmond G O’Connell, Alessandra Galli, et al.. (2013). Changes in resting connectivity with age: a simultaneous electroencephalogram and functional magnetic resonance imaging investigation. Neurobiology of Aging. 34(9). 2194–2207.
13.
Nolan, Hugh, John S. Butler, Robert Whelan, et al.. (2012). Neural correlates of oddball detection in self-motion heading: A high-density event-related potential study of vestibular integration. Experimental Brain Research. 219(1). 1–11.
14.
Kiiski, Hanni, Richard B. Reilly, Róisín Lonergan, et al.. (2012). Only Low Frequency Event-Related EEG Activity Is Compromised in Multiple Sclerosis: Insights from an Independent Component Clustering Analysis. PLoS ONE. 7(9). e45536–e45536.
15.
Kiiski, Hanni, Richard B. Reilly, Róisín Lonergan, et al.. (2011). Change in PASAT performance correlates with change in P3 ERP amplitude over a 12-month period in multiple sclerosis patients. Journal of the Neurological Sciences. 305(1-2). 45–52.
16.
Nolan, Hugh, John S. Butler, Robert Whelan, et al.. (2011). Motion P3 demonstrates neural nature of motion ERPs. PubMed. 55. 3884–3887.
17.
Kiiski, Hanni, Robert Whelan, Róisín Lonergan, et al.. (2010). Preliminary evidence for correlation between PASAT performance and P3a and P3b amplitudes in progressive multiple sclerosis. European Journal of Neurology. 18(5). 792–795.
18.
Whelan, Robert, Róisín Lonergan, Hanni Kiiski, et al.. (2010). A high-density ERP study reveals latency, amplitude, and topographical differences in multiple sclerosis patients versus controls. Clinical Neurophysiology. 121(9). 1420–1426.
19.
Whelan, Robert, Róisín Lonergan, Hanni Kiiski, et al.. (2010). Impaired information processing speed and attention allocation in multiple sclerosis patients versus controls: A high-density EEG study. Journal of the Neurological Sciences. 293(1-2). 45–50.
20.
Lothrop, Clinton D. & Hugh Nolan. (1986). Equine thyroid function assessment with the thyrotropin-releasing hormone response test. American Journal of Veterinary Research. 47(4). 942–944.
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.
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Jorge Iriarte Breakdown of academic impact, for papers by Paul L. Furlong Breakdown of academic impact, for papers by Liangsuo Ma Breakdown of academic impact, for papers by Molly Erickson Breakdown of academic impact, for papers by Nicola Marzano Breakdown of academic impact, for papers by Edward L. Maclin Breakdown of academic impact, for papers by Eduardo Henrik Aubert Breakdown of academic impact, for papers by Claus Reinsberger Breakdown of academic impact, for papers by David Shannahoff‐Khalsa Breakdown of academic impact, for papers by Audrey Winter