Matthew L. Hughes

578 total citations
18 papers, 401 citations indexed

About

Matthew L. Hughes is a scholar working on Neuropsychology and Physiological Psychology, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Matthew L. Hughes has authored 18 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neuropsychology and Physiological Psychology, 6 papers in Cognitive Neuroscience and 4 papers in Social Psychology. Recurrent topics in Matthew L. Hughes's work include Aging and Gerontology Research (9 papers), Memory Processes and Influences (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Matthew L. Hughes is often cited by papers focused on Aging and Gerontology Research (9 papers), Memory Processes and Influences (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Matthew L. Hughes collaborates with scholars based in United States and Belgium. Matthew L. Hughes's co-authors include Margie E. Lachman, Lisa Geraci, Stefan Agrigoroaei, Minjeong Jeon, Dayna R. Touron, Julia A. Chester, Nicole P. Lindsey, J. Erin Staples, Jane Ebert and Stephanie A. Robinson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Science and Psychology and Aging.

In The Last Decade

Matthew L. Hughes

17 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew L. Hughes United States	11	128	87	68	60	58	18	401
Richard A. Zweig United States	11	65 0.5×	100 1.1×	72 1.1×	91 1.5×	98 1.7×	30	444
Kouhei Masumoto Japan	11	30 0.2×	134 1.5×	81 1.2×	82 1.4×	34 0.6×	35	372
Julie A. Avanzino United States	11	93 0.7×	68 0.8×	105 1.5×	189 3.1×	46 0.8×	11	732
Candice Hogan United States	7	40 0.3×	143 1.6×	29 0.4×	49 0.8×	34 0.6×	8	391
Barbara Ferrari Italy	9	27 0.2×	95 1.1×	53 0.8×	28 0.5×	65 1.1×	14	428
Theresa Pauly Canada	13	125 1.0×	329 3.8×	191 2.8×	38 0.6×	23 0.4×	52	561
Emily B. H. Treichler United States	13	38 0.3×	82 0.9×	35 0.5×	119 2.0×	116 2.0×	31	380
Jocelyn K. Tamura Canada	7	23 0.2×	120 1.4×	181 2.7×	19 0.3×	51 0.9×	11	453
Sara Hutchison Switzerland	5	33 0.3×	40 0.5×	29 0.4×	109 1.8×	85 1.5×	7	357
H. J. Freyberger Germany	12	17 0.1×	125 1.4×	27 0.4×	31 0.5×	79 1.4×	32	483

Countries citing papers authored by Matthew L. Hughes

Since Specialization

Citations

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

Fields of papers citing papers by Matthew L. Hughes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew L. Hughes. 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 Matthew L. Hughes. The network helps show where Matthew L. Hughes may publish in the future.

Co-authorship network of co-authors of Matthew L. Hughes

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

All Works

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18 of 18 papers shown

Hughes, Matthew L., et al.. (2024). Association of ambient air pollution and pesticide mixtures on respiratory inflammatory markers in agricultural communities. SHILAP Revista de lepidopterología. 2(3). 35007–35007. 1 indexed citations

Soto, Raymond, Matthew L. Hughes, J. Erin Staples, & Nicole P. Lindsey. (2022). West Nile Virus and Other Domestic Nationally Notifiable Arboviral Diseases — United States, 2020. MMWR Morbidity and Mortality Weekly Report. 71(18). 628–632. 26 indexed citations

Hughes, Matthew L. & Dayna R. Touron. (2021). Aging in Context: Incorporating Everyday Experiences Into the Study of Subjective Age. Frontiers in Psychiatry. 12. 633234–633234. 26 indexed citations

Hughes, Matthew L., et al.. (2019). Associations between brain morphology and cognition in individuals with schizophrenia and bipolar disorder: A review. Bipolar Disorders. 21. 1 indexed citations

Agrigoroaei, Stefan, et al.. (2019). Control beliefs and susceptibility to the promises of memory improvement. Applied Cognitive Psychology. 33(4). 709–719. 1 indexed citations

Kelley, Nicholas J. & Matthew L. Hughes. (2019). Resting frontal EEG asymmetry and emotion regulation in older adults: The midlife in the United States (MIDUS) study.. Psychology and Aging. 34(3). 341–347. 11 indexed citations

Robinson, Stephanie A., et al.. (2018). Time for change: using implementation intentions to promote physical activity in a randomised pilot trial. Psychology and Health. 34(2). 232–254. 35 indexed citations

Hughes, Matthew L., et al.. (2018). Change in Cognitive Performance From Midlife Into Old Age: Findings from the Midlife in the United States (MIDUS) Study. Journal of the International Neuropsychological Society. 24(8). 805–820. 102 indexed citations

Geraci, Lisa, et al.. (2017). The effect of cognitive testing and feedback on older adults’ subjective age. Aging Neuropsychology and Cognition. 25(3). 333–350. 21 indexed citations

10.

Hughes, Matthew L. & Margie E. Lachman. (2017). GETTING OLDER FASTER? CHANGES IN SUBJECTIVE AGE ARE TIED TO FUNCTIONAL HEALTH AND MEMORY. Innovation in Aging. 1(suppl_1). 30–30. 1 indexed citations

11.

Geraci, Lisa, et al.. (2016). The Effect of Prior Task Success on Older Adults’ Memory Performance: Examining the Influence of Different Types of Task Success. Experimental Aging Research. 42(4). 365–381. 12 indexed citations

12.

Hughes, Matthew L. & Margie E. Lachman. (2016). Social Comparisons of Health and Cognitive Functioning Contribute to Changes in Subjective Age. The Journals of Gerontology Series B. gbw044–gbw044. 38 indexed citations

13.

Hughes, Matthew L., et al.. (2014). Using the Alzheimer’s Association Web Site to Improve Knowledge of Alzheimer’s Disease in Health Care Providers. American Journal of Alzheimer s Disease & Other Dementias®. 30(1). 98–100. 8 indexed citations

14.

Lowe, Deborah A., et al.. (2014). Misconceptions of Alzheimer’s Disease. Clinical Gerontologist. 38(2). 149–156. 9 indexed citations

15.

Hughes, Matthew L.. (2014). The Influence of Self-Perceptions of Aging on Older Adults' Cognition and Behavior. OakTrust (Texas A&M University Libraries).

16.

Geraci, Lisa, Mark A. McDaniel, Tyler M. Miller, & Matthew L. Hughes. (2013). The bizarreness effect: evidence for the critical influence of retrieval processes. Memory & Cognition. 41(8). 1228–1237. 13 indexed citations

17.

Hughes, Matthew L., et al.. (2013). Aging 5 Years in 5 Minutes. Psychological Science. 24(12). 2481–2488. 50 indexed citations

18.

Chester, Julia A., et al.. (2008). Age‐ and Sex‐Dependent Effects of Footshock Stress on Subsequent Alcohol Drinking and Acoustic Startle Behavior in Mice Selectively Bred for High‐Alcohol Preference. Alcoholism Clinical and Experimental Research. 32(10). 1782–1794. 46 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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