Stephen M. Rao

30.5k total citations · 11 hit papers
233 papers, 23.2k citations indexed

About

Stephen M. Rao is a scholar working on Cognitive Neuroscience, Pathology and Forensic Medicine and Psychiatry and Mental health. According to data from OpenAlex, Stephen M. Rao has authored 233 papers receiving a total of 23.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Cognitive Neuroscience, 56 papers in Pathology and Forensic Medicine and 40 papers in Psychiatry and Mental health. Recurrent topics in Stephen M. Rao's work include Multiple Sclerosis Research Studies (56 papers), Functional Brain Connectivity Studies (40 papers) and Dementia and Cognitive Impairment Research (26 papers). Stephen M. Rao is often cited by papers focused on Multiple Sclerosis Research Studies (56 papers), Functional Brain Connectivity Studies (40 papers) and Dementia and Cognitive Impairment Research (26 papers). Stephen M. Rao collaborates with scholars based in United States, United Kingdom and Canada. Stephen M. Rao's co-authors include Jeffrey R. Binder, Thomas A. Hammeke, Gary J. Leo, Linda Bernardin, Andrew R. Mayer, Frederick W. Unverzagt, Julie A. Bobholz, Robert W. Cox, Deborah L. Harrington and J.A. Frost and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Stephen M. Rao

232 papers receiving 22.4k citations

Hit Papers

Cognitive dysfunction in multiple sclerosis. 1991 2026 2002 2014 1991 1997 1999 2018 1991 500 1000 1.5k

Peers

Stephen M. Rao
John DeLuca United States
Susan M. Resnick United States
Nikolaus Weiskopf United Kingdom
Kenneth M. Heilman United States
Jordan Grafman United States
Stephen M. Rao
Citations per year, relative to Stephen M. Rao Stephen M. Rao (= 1×) peers Andrea Falini

Countries citing papers authored by Stephen M. Rao

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Rao. 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 Stephen M. Rao. The network helps show where Stephen M. Rao may publish in the future.

Co-authorship network of co-authors of Stephen M. Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Rao. A scholar is included among the top collaborators of Stephen M. Rao 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 Stephen M. Rao. Stephen M. Rao 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
1.
DiFilippo, Frank P. & Stephen M. Rao. (2025). Evaluation of two clinical Centiloid analysis products for 18F‐florbetapir PET in cognitively unimpaired elders. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 17(3). e70163–e70163. 1 indexed citations
2.
Mascha, Edward J., et al.. (2023). Cooling vest improves surgeons’ thermal comfort without affecting cognitive performance: a randomised cross-over trial. Occupational and Environmental Medicine. 80(6). 339–345. 3 indexed citations
3.
Niino, Masaaki, Yusei Miyazaki, Arman Altincatal, et al.. (2023). Processing speed test: Results from a Japanese normative sample of healthy participants compared with a US normative sample. Clinical Neurology and Neurosurgery. 230. 107790–107790. 5 indexed citations
4.
Galioto, Rachel, et al.. (2020). Does obesity exacerbate brain lesion volume and atrophy in patients with multiple sclerosis?. Multiple Sclerosis and Related Disorders. 46. 102502–102502. 5 indexed citations
5.
Pillai, Jagan A., James Bena, Gürkan Bebek, et al.. (2020). Inflammatory pathway analytes predicting rapid cognitive decline in MCI stage of Alzheimer’s disease. Annals of Clinical and Translational Neurology. 7(7). 1225–1239. 27 indexed citations
6.
Pillai, Jagan A., James Bena, Lynn M. Bekris, et al.. (2019). Key inflammatory pathway activations in the MCI stage of Alzheimer’s disease. Annals of Clinical and Translational Neurology. 6(7). 1248–1262. 32 indexed citations
7.
Pluta, Agnieszka, Tomasz Wolak, Ewa Firląg‐Burkacka, et al.. (2019). HIV and age underlie specific patterns of brain abnormalities and cognitive changes in high functioning patients.. Neuropsychology. 33(3). 358–369. 6 indexed citations
8.
Rao, Stephen M., Lyla Mourany, David Schindler, et al.. (2017). Processing speed test: Validation of a self-administered, iPad ® -based tool for screening cognitive dysfunction in a clinic setting. Multiple Sclerosis Journal. 23(14). 1929–1937. 117 indexed citations
9.
Rudick, Richard A., François Béthoux, Stephen M. Rao, et al.. (2014). The Multiple Sclerosis Performance Test (MSPT): An iPad-Based Disability Assessment Tool. Journal of Visualized Experiments. 23 indexed citations
10.
Fahrbach, Kyle, Amber Martin, Edward Kim, et al.. (2013). Relating relapse and T2 lesion changes to disability progression in multiple sclerosis: a systematic literature review and regression analysis. BMC Neurology. 13(1). 180–180. 25 indexed citations
11.
Nielson, Kristy A., Michael Seidenberg, John L. Woodard, et al.. (2010). Common neural systems associated with the recognition of famous faces and names: An event-related fMRI study. Brain and Cognition. 72(3). 491–498. 30 indexed citations
12.
Woodard, John L., Michael Seidenberg, Kristy A. Nielson, et al.. (2009). Semantic memory activation in amnestic mild cognitive impairment. Brain. 132(8). 2068–2078. 87 indexed citations
13.
Zimbelman, Janice L., Aaron J. Suminski, Stephen M. Rao, & Robert A. Scheidt. (2007). Predicting the Future: Neural Correlates of Internal Models. NeuroImage. 1 indexed citations
14.
Nielson, Kristy A., Michael Seidenberg, John L. Woodard, et al.. (2006). Age-related Functional Recruitment During the Recognition of Famous Names: an Event-related fMRI Study. Neurobiology of Aging. 27(10). 1 indexed citations
15.
Bobholz, Julie A. & Stephen M. Rao. (2003). Cognitive dysfunction in multiple sclerosis: a review of recent developments. Current Opinion in Neurology. 16(3). 283–288. 216 indexed citations
16.
Nielson, Kristy A., Hugh Garavan, Scott A. Langenecker, E A Stein, & Stephen M. Rao. (2001). Event-Related fMRI of Inhibitory Control Reveals Lateralized Prefrontal Activation Differences between Healthy Young and Older Adults. Brain and Cognition. 47. 169–172. 7 indexed citations
17.
Vassileva, Jasmin, J. M. Vongher, M. Fischer, et al.. (2001). 57. Working memory deficits in adults with ADHD. Brain and Cognition. 47. 216–219. 1 indexed citations
18.
Vongher, J. M., Jasmin Vassileva, M. Fischer, et al.. (2001). 58. Behavioral inhibition and motor timing in ADHD adults. Brain and Cognition. 47. 219–222. 3 indexed citations
19.
Rao, Stephen M., Steven J. Huber, & Robert A. Bornstein. (1992). Emotional changes with multiple sclerosis and Parkinson's disease.. Journal of Consulting and Clinical Psychology. 60(3). 369–378. 75 indexed citations
20.
Rao, Stephen M., et al.. (1977). Effects of bruxism: A review of the literature. Journal of Prosthetic Dentistry. 38(2). 149–157. 47 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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