John DeLuca

31.0k total citations · 6 hit papers
388 papers, 18.2k citations indexed

About

John DeLuca is a scholar working on Pathology and Forensic Medicine, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, John DeLuca has authored 388 papers receiving a total of 18.2k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Pathology and Forensic Medicine, 87 papers in Psychiatry and Mental health and 85 papers in Cognitive Neuroscience. Recurrent topics in John DeLuca's work include Multiple Sclerosis Research Studies (191 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (59 papers) and Traumatic Brain Injury Research (52 papers). John DeLuca is often cited by papers focused on Multiple Sclerosis Research Studies (191 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (59 papers) and Traumatic Brain Injury Research (52 papers). John DeLuca collaborates with scholars based in United States, Italy and Canada. John DeLuca's co-authors include Nancy D. Chiaravalloti, Helen M. Genova, Glenn R. Wylie, Benjamin H. Natelson, Ralph H. B. Benedict, Susan K. Johnson, Yael Goverover, James Sumowski, Bruce Caplan and Jeffrey S. Kreutzer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

John DeLuca

361 papers receiving 17.6k citations

Hit Papers

Cognitive impairment in m... 2002 2026 2010 2018 2008 2017 2002 2010 2020 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cognitive impairment in multiple sclerosis
    2008 1.6k citations Nancy D. Chiaravalloti, John DeLuca profile →
  2. Validity of the Symbol Digit Modalities Test as a cognition performance outcome measure for multiple sclerosis
    2017 607 citations Ralph H. B. Benedict, John DeLuca et al. Multiple Sclerosis Journal profile →
  3. Minimal Neuropsychological Assessment of MS Patients: A Consensus Approach
    2002 525 citations Ralph H. B. Benedict, John DeLuca et al. profile →
  4. Encyclopedia of Clinical Neuropsychology
    2010 497 citations John DeLuca et al. profile →
  5. Cognitive impairment in multiple sclerosis: clinical management, MRI, and therapeutic avenues
    2020 443 citations Ralph H. B. Benedict, Maria Pia Amato et al. profile →
  6. Recommendations for cognitive screening and management in multiple sclerosis care
    2018 287 citations Ralph H. B. Benedict, Anthony Feinstein et al. Multiple Sclerosis Journal profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John DeLuca 9.6k 4.6k 4.1k 3.3k 2.1k 388 18.2k
Ralph H. B. Benedict 14.6k 1.5× 3.4k 0.7× 4.8k 1.2× 2.3k 0.7× 963 0.4× 344 20.9k
Lauren Krupp 11.3k 1.2× 5.4k 1.2× 5.8k 1.4× 1.2k 0.4× 1.6k 0.7× 226 20.4k
Stephen M. Rao 7.6k 0.8× 3.1k 0.7× 3.3k 0.8× 10.7k 3.3× 948 0.4× 233 23.2k
Nancy D. Chiaravalloti 5.1k 0.5× 1.6k 0.4× 2.0k 0.5× 1.7k 0.5× 1.3k 0.6× 220 8.6k
John D. Fisk 5.9k 0.6× 3.2k 0.7× 2.1k 0.5× 1.3k 0.4× 1.3k 0.6× 246 12.9k
Rolf‐Detlef Treede 2.4k 0.3× 5.2k 1.1× 6.0k 1.5× 8.9k 2.7× 777 0.4× 399 35.4k
Arne May 8.0k 0.8× 12.6k 2.8× 1.7k 0.4× 5.5k 1.7× 342 0.2× 288 20.3k
Robert W. Motl 15.9k 1.7× 5.9k 1.3× 2.8k 0.7× 670 0.2× 1.6k 0.8× 676 25.5k
Jong‐Ling Fuh 2.7k 0.3× 8.2k 1.8× 3.0k 0.7× 1.3k 0.4× 838 0.4× 401 14.4k
Anthony Feinstein 5.0k 0.5× 1.9k 0.4× 2.5k 0.6× 598 0.2× 1.6k 0.8× 245 9.6k

Countries citing papers authored by John DeLuca

Since Specialization
Citations

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

Fields of papers citing papers by John DeLuca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John DeLuca

This figure shows the co-authorship network connecting the top 25 collaborators of John DeLuca. A scholar is included among the top collaborators of John DeLuca 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 John DeLuca. John DeLuca 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.
Sandroff, Brian M., Robert W. Motl, R. Hernandez, et al.. (2025). Correlates of Processing Speed Change With Combined Cognitive Rehabilitation and Exercise in Progressive MS: Secondary Analysis of the CogEx Trial. Neurorehabilitation and neural repair. 39(7). 499–514.
2.
Dobryakova, Ekaterina, Erica Weber, Nancy D. Chiaravalloti, et al.. (2025). Trait fatigue impacts Symbol Digit Modalities Test (SDMT) performance in multiple sclerosis: The role of working memory. Multiple Sclerosis and Related Disorders. 96. 106369–106369.
3.
Goverover, Yael, et al.. (2024). Exploring the Efficacy of a Remote Strategy-Based Intervention for People With Multiple Sclerosis With Everyday Memory Impairments: A Pilot Study. American Journal of Occupational Therapy. 78(4). 2 indexed citations
4.
Garon‐Bissonnette, Julia, et al.. (2024). Caregivers' cognitions about infants' mental and emotional states. Child Development Perspectives. 19(3). 146–155. 2 indexed citations
5.
Motl, Robert W., Brian M. Sandroff, R. Hernandez, et al.. (2024). Heterogeneity of aerobic fitness changes with exercise training in progressive multiple sclerosis: Secondary, exploratory analysis of data from the CogEx trial. Multiple Sclerosis Journal - Experimental Translational and Clinical. 10(4). 3110664230–3110664230.
6.
Anguera, Joaquin A., Albert Rizzo, Nancy D. Chiaravalloti, et al.. (2023). A virtual reality program to assess cognitive function in multiple sclerosis: A pilot study. Frontiers in Human Neuroscience. 17. 1139316–1139316. 4 indexed citations
7.
Goverover, Yael, Amber Salter, & John DeLuca. (2023). Assessing everyday functional activity in cognitively impaired people with multiple sclerosis: The use of Actual RealityTM. Multiple Sclerosis Journal. 29(9). 1107–1117. 2 indexed citations
8.
Chiaravalloti, Nancy D., John DeLuca, Amber Salter, et al.. (2022). The relationship between processing speed and verbal and non-verbal new learning and memory in progressive multiple sclerosis. Multiple Sclerosis Journal. 28(11). 1783–1792. 8 indexed citations
9.
Lequerica, Anthony H., et al.. (2022). Examining the Use of a Rest-Activity Ratio in a Pediatric Rehabilitation Setting. Archives of Physical Medicine and Rehabilitation. 103(9). 1766–1770. 1 indexed citations
10.
Cohan, Stanley, Ralph H. B. Benedict, Bruce Cree, et al.. (2022). The Two Sides of Siponimod: Evidence for Brain and Immune Mechanisms in Multiple Sclerosis. CNS Drugs. 36(7). 703–719. 28 indexed citations
11.
Sandroff, Brian M., Robert W. Motl, Maria Pia Amato, et al.. (2021). Cardiorespiratory fitness and free-living physical activity are not associated with cognition in persons with progressive multiple sclerosis: Baseline analyses from the CogEx study. Multiple Sclerosis Journal. 28(7). 1091–1100. 10 indexed citations
12.
Dacosta‐Aguayo, Rosalía, Glenn R. Wylie, John DeLuca, & Helen M. Genova. (2020). Anatomical Covariance Analysis: Detection of Disrupted Correlation Network Related to Clinical Trait Fatigue in Multiple Sclerosis: A Pilot Study. Behavioural Neurology. 2020. 1–9. 9 indexed citations
13.
Juliano, Anthony, et al.. (2020). Inpatient length of stay moderates the relationship between payer source and functional outcomes in pediatric brain injury. Brain Injury. 34(10). 1395–1400. 4 indexed citations
14.
Pitteri, Marco, Marco Castellaro, John DeLuca, et al.. (2019). Executive functioning affects verbal learning process in multiple sclerosis patients: Behavioural and imaging results. Journal of Neuropsychology. 14(3). 384–398. 5 indexed citations
15.
Costa, Silvana L., Óscar F. Gonçalves, Nancy D. Chiaravalloti, John DeLuca, & Jorge Almeida. (2015). Neuro-Ophthalmic Syndromes and Processing Speed in Multiple Sclerosis. Journal of Neuro-Ophthalmology. 36(1). 23–28. 1 indexed citations
16.
Koenig, Sebastian, Denise Krch, Nancy D. Chiaravalloti, et al.. (2014). AGILE DEVELOPMENT OF A VIRTUAL REALITY COGNITIVE ASSESSMENT. SHILAP Revista de lepidopterología. 1 indexed citations
17.
DeLuca, John, et al.. (2012). Global Processing Training to Improve Visuospatial Memory Deficits after Right-Brain Stroke. Archives of Clinical Neuropsychology. 27(8). 891–905. 12 indexed citations
18.
Elovic, Elie P., et al.. (2006). Endocrine Abnormalities and Fatigue After Traumatic Brain Injury. Journal of Head Trauma Rehabilitation. 21(5). 426–427. 5 indexed citations
19.
Madigan, Nancy, et al.. (2000). Speed of Information Processing in Traumatic Brain Injury: Modality-Specific Factors. Journal of Head Trauma Rehabilitation. 15(3). 943–956. 102 indexed citations
20.
Diamond, Bruce J., et al.. (1997). The question of disproportionate impairments in visual and auditory information processing in multiple sclerosis. Journal of Clinical and Experimental Neuropsychology. 19(1). 34–42. 89 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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