Steven E. Arnold

63.5k total citations · 7 hit papers
344 papers, 28.1k citations indexed

About

Steven E. Arnold is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Steven E. Arnold has authored 344 papers receiving a total of 28.1k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Physiology, 126 papers in Psychiatry and Mental health and 60 papers in Molecular Biology. Recurrent topics in Steven E. Arnold's work include Alzheimer's disease research and treatments (118 papers), Dementia and Cognitive Impairment Research (114 papers) and Functional Brain Connectivity Studies (29 papers). Steven E. Arnold is often cited by papers focused on Alzheimer's disease research and treatments (118 papers), Dementia and Cognitive Impairment Research (114 papers) and Functional Brain Connectivity Studies (29 papers). Steven E. Arnold collaborates with scholars based in United States, United Kingdom and Canada. Steven E. Arnold's co-authors include David A. Bennett, John Q. Trojanowski, Julie A. Schneider, R. J. Wilson, Yuxiao Tang, Raquel E. Gur, Konrad Talbot, Julia L. Bienias, Sharon X. Xie and David A. Wolk and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Steven E. Arnold

325 papers receiving 27.5k citations

Hit Papers

5 papers align trajectories

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.

Demonstrated brain insulin resistance in Alzheimer’s disease patients is associated with IGF-1 resistance, IRS-1 dysregulation, and cognitive decline

2012 1.4k citations Konrad Talbot, Zoe Arvanitakis et al. profile →
The Topographical and Neuroanatomical Distribution of Neurofibrillary Tangles and Neuritic Plaques in the Cerebral Cortex of Patients with Alzheimer's Disease

1991 1.1k citations Steven E. Arnold, Bradley T. Hyman et al. Cerebral Cortex profile →
Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums

2018 1.1k citations Steven E. Arnold, Zoe Arvanitakis et al. profile →
Loneliness and Risk of Alzheimer Disease

2007 968 citations Robert S. Wilson, Steven E. Arnold et al. profile →
An anti-diabetes agent protects the mouse brain from defective insulin signaling caused by Alzheimer’s disease–associated Aβ oligomers

2012 693 citations Steven E. Arnold, Konrad Talbot et al. profile →
Contribution of cerebrovascular disease in autopsy confirmed neurodegenerative disease cases in the National Alzheimer’s Coordinating Centre

2013 577 citations Steven E. Arnold, John Q. Trojanowski et al. profile →
The effect of social networks on the relation between Alzheimer's disease pathology and level of cognitive function in old people: a longitudinal cohort study

2006 532 citations David A. Bennett, Steven E. Arnold et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven E. Arnold United States	89	10.1k	7.8k	5.3k	4.6k	4.6k	344	28.1k
Ralph N. Martins Australia	88	15.6k 1.5×	8.6k 1.1×	7.1k 1.3×	2.5k 0.5×	3.5k 0.8×	591	29.3k
Eric M. Reiman United States	102	15.1k 1.5×	11.9k 1.5×	5.7k 1.1×	2.9k 0.6×	10.5k 2.3×	469	34.5k
Anne M. Fagan United States	86	15.2k 1.5×	9.5k 1.2×	6.1k 1.2×	3.9k 0.8×	5.2k 1.1×	290	26.3k
Lenore J. Launer United States	111	13.0k 1.3×	13.2k 1.7×	4.1k 0.8×	1.8k 0.4×	2.6k 0.6×	612	43.4k
Mony J. de Leon United States	88	13.6k 1.3×	11.8k 1.5×	4.6k 0.9×	3.4k 0.7×	6.1k 1.3×	304	31.0k
Clive Ballard United Kingdom	108	10.0k 1.0×	16.0k 2.0×	4.4k 0.8×	3.6k 0.8×	5.2k 1.1×	672	41.1k
Michelle M. Mielke United States	87	11.4k 1.1×	11.2k 1.4×	4.2k 0.8×	1.6k 0.3×	3.9k 0.9×	586	27.0k
Peter Paul De Deyn Belgium	80	6.5k 0.6×	4.9k 0.6×	5.5k 1.0×	3.6k 0.8×	4.3k 0.9×	623	24.7k
Johannes Kornhuber Germany	79	7.4k 0.7×	4.9k 0.6×	8.7k 1.6×	5.2k 1.1×	2.7k 0.6×	852	26.3k
Hilkka Soininen Finland	105	16.8k 1.7×	16.1k 2.1×	6.5k 1.2×	4.7k 1.0×	7.7k 1.7×	680	40.6k

Countries citing papers authored by Steven E. Arnold

Since Specialization

Citations

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

Fields of papers citing papers by Steven E. Arnold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven E. Arnold. 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 Steven E. Arnold. The network helps show where Steven E. Arnold may publish in the future.

Co-authorship network of co-authors of Steven E. Arnold

This figure shows the co-authorship network connecting the top 25 collaborators of Steven E. Arnold. A scholar is included among the top collaborators of Steven E. Arnold 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 Steven E. Arnold. Steven E. Arnold 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

Wu, Chao‐Yi, Hiroko H. Dodge, Shannon Leslie, et al.. (2025). Unbiased CSF Proteomics in Patients With Idiopathic Normal Pressure Hydrocephalus to Identify Molecular Signatures and Candidate Biomarkers. Neurology. 104(5). e213375–e213375. 1 indexed citations

Wu, Chao‐Yi, Chen Liu, Jennifer R. Gatchel, et al.. (2025). Combined use of plasma p‐tau217, NfL, and GFAP predicts domain‐specific cognitive decline in cognitively unimpaired and MCI individuals. Alzheimer s & Dementia. 21(12). e70934–e70934.

Cruchaga, Carlos, et al.. (2025). Plasma NfL and cognitive functioning in older adults: The moderating role of HDL cholesterol. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 17(4). e70205–e70205.

Ye, Rong, Pia Kivisäkk, Michael J Properzi, et al.. (2025). Plasma Phosphorylated Tau181 as a Biomarker for Alzheimer's Disease Co‐Pathology in Lewy Body Disease. Movement Disorders. 40(9). 1930–1939.

Trombetta, Bianca A., Chao‐Yi Wu, Hiroko H. Dodge, et al.. (2024). Cerebrospinal fluid biomarker profiling of diverse pathophysiological domains in Alzheimer's disease. Alzheimer s & Dementia Translational Research & Clinical Interventions. 10(1). e12440–e12440. 5 indexed citations

Arnold, Steven E., Bradley T. Hyman, Rebecca A. Betensky, & Hiroko H. Dodge. (2024). Pathways to personalized medicine—Embracing heterogeneity for progress in clinical therapeutics research in Alzheimer's disease. Alzheimer s & Dementia. 20(10). 7384–7394. 10 indexed citations

Leclercq, Mickaël, Florence Roux‐Dalvai, Shannon Leslie, et al.. (2024). BERNN: Enhancing classification of Liquid Chromatography Mass Spectrometry data with batch effect removal neural networks. Nature Communications. 15(1). 3777–3777. 6 indexed citations

Mehta, Neel H., Emre Kiziltug, Phan Q. Duy, et al.. (2024). Utility of cortical tissue analysis in normal pressure hydrocephalus. Cerebral Cortex. 34(2). 6 indexed citations

Vallabh, Sonia M., Shona W. Allen, Pia Kivisäkk, et al.. (2024). Fluid Biomarkers in Individuals at Risk for Genetic Prion Disease up to Disease Conversion. Neurology. 103(2). e209506–e209506. 3 indexed citations

10.

Billot, Benjamin, et al.. (2023). Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proceedings of the National Academy of Sciences. 120(9). e2216399120–e2216399120. 78 indexed citations

11.

Weinberg, Marc S., et al.. (2023). Screening, Assessment, and Pharmacologic Treatment of Mild Cognitive Impairment and Early Alzheimer’s Disease. The Primary Care Companion For CNS Disorders. 25(6). 1 indexed citations

12.

Vallabh, Sonia M., Chloe K. Nobuhara, Franc Llorens, et al.. (2019). Prion protein quantification in human cerebrospinal fluid as a tool for prion disease drug development. Proceedings of the National Academy of Sciences. 116(16). 7793–7798. 27 indexed citations

13.

Capuano, Ana W., Robert S. Wilson, William G. Honer, et al.. (2019). Brain IGFBP-5 modifies the relation of depressive symptoms to decline in cognition in older persons. Journal of Affective Disorders. 250. 313–318. 11 indexed citations

14.

Williams, Victoria J., Bianca A. Trombetta, Rabab Jafri, et al.. (2019). Task-related fMRI BOLD response to hyperinsulinemia in healthy older adults. JCI Insight. 4(14). 11 indexed citations

15.

Carlyle, Becky C., Bianca A. Trombetta, & Steven E. Arnold. (2018). Proteomic Approaches for the Discovery of Biofluid Biomarkers of Neurodegenerative Dementias. Proteomes. 6(3). 32–32. 45 indexed citations

16.

Lanctôt, Krista L., Joan Amatniek, Sonia Ancoli‐Israel, et al.. (2017). Neuropsychiatric signs and symptoms of Alzheimer's disease: New treatment paradigms. Alzheimer s & Dementia Translational Research & Clinical Interventions. 3(3). 440–449. 251 indexed citations

17.

Vasunilashorn, Sarinnapha M., Simon T. Dillon, Sharon K. Inouye, et al.. (2017). High C‐Reactive Protein Predicts Delirium Incidence, Duration, and Feature Severity After Major Noncardiac Surgery. Journal of the American Geriatrics Society. 65(8). e109–e116. 96 indexed citations

18.

Hu, William T., Alice Chen‐Plotkin, Owen A. Ross, et al.. (2010). Novel CSF biomarkers for frontotemporal lobar degenerations. Neurology. 75(23). 2079–2086. 74 indexed citations

19.

Arnold, Steven E., Konrad Talbot, & Chang-Gyu Hahn. (2004). Neurodevelopment, neuroplasticity, and new genes for schizophrenia. Progress in brain research. 147. 319–345. 105 indexed citations

20.

Turetsky, Bruce I., Paul J. Moberg, David M. Yousem, et al.. (2000). Reduced Olfactory Bulb Volume in Patients With Schizophrenia. American Journal of Psychiatry. 157(5). 828–830. 160 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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