Karly Alex Cody

2.7k total citations · 1 hit paper
42 papers, 827 citations indexed

About

Karly Alex Cody is a scholar working on Psychiatry and Mental health, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Karly Alex Cody has authored 42 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Psychiatry and Mental health, 17 papers in Physiology and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Karly Alex Cody's work include Dementia and Cognitive Impairment Research (30 papers), Alzheimer's disease research and treatments (17 papers) and Down syndrome and intellectual disability research (8 papers). Karly Alex Cody is often cited by papers focused on Dementia and Cognitive Impairment Research (30 papers), Alzheimer's disease research and treatments (17 papers) and Down syndrome and intellectual disability research (8 papers). Karly Alex Cody collaborates with scholars based in United States, United Kingdom and Sweden. Karly Alex Cody's co-authors include Sterling C. Johnson, Tobey J. Betthauser, Howard A. Rowley, Erin M. Jonaitis, Bradley T. Christian, Charles K. Stone, Matthew Zammit, Nathaniel A. Chin, Todd E. Barnhart and Cynthia M. Carlsson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Radiology.

In The Last Decade

Karly Alex Cody

35 papers receiving 822 citations

Hit 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.

Prediction of Longitudinal Cognitive Decline in Preclinical Alzheimer Disease Using Plasma Biomarkers

2023 150 citations Niklas Mattsson, Gemma Salvadó et al. JAMA Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karly Alex Cody United States	14	484	417	160	137	98	42	827
Virginia Pappas United States	4	549 1.1×	444 1.1×	167 1.0×	148 1.1×	52 0.5×	8	764
Orit H. Lesman‐Segev United States	9	385 0.8×	315 0.8×	133 0.8×	116 0.8×	42 0.4×	21	731
Zuo-Teng Wang China	15	293 0.6×	319 0.8×	88 0.6×	87 0.6×	114 1.2×	44	883
J.J. Himali United States	3	295 0.6×	268 0.6×	96 0.6×	102 0.7×	131 1.3×	3	839
Auttawut Roontiva United States	9	463 1.0×	517 1.2×	134 0.8×	167 1.2×	62 0.6×	16	833
Deniz Erten‐Lyons United States	16	401 0.8×	328 0.8×	206 1.3×	113 0.8×	87 0.9×	33	1.1k
Chung‐Kai Sun United States	12	602 1.2×	608 1.5×	71 0.4×	184 1.3×	65 0.7×	28	1.1k
Dawn C. Matthews United States	13	257 0.5×	396 0.9×	111 0.7×	97 0.7×	279 2.8×	25	872
Christopher Gidicsin United States	8	608 1.3×	432 1.0×	98 0.6×	243 1.8×	42 0.4×	11	885
Tessa Timmers Netherlands	15	449 0.9×	395 0.9×	174 1.1×	179 1.3×	42 0.4×	33	691

Countries citing papers authored by Karly Alex Cody

Since Specialization

Citations

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

Fields of papers citing papers by Karly Alex Cody

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karly Alex Cody. 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 Karly Alex Cody. The network helps show where Karly Alex Cody may publish in the future.

Co-authorship network of co-authors of Karly Alex Cody

This figure shows the co-authorship network connecting the top 25 collaborators of Karly Alex Cody. A scholar is included among the top collaborators of Karly Alex Cody 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 Karly Alex Cody. Karly Alex Cody 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

Cody, Karly Alex, Lianlian Du, Rachel Studer, et al.. (2025). Accuracy of plasma biomarkers to detect Alzheimer's disease proteinopathy prior to dementia. Alzheimer s & Dementia. 21(3). e14570–e14570. 4 indexed citations

Cody, Karly Alex, Andrzej Sokołowski, Luca Guerra, et al.. (2025). Comparison of amyloid PET acquired through standardized and unstandardized protocols. Alzheimer s & Dementia. 21(9). e70697–e70697. 1 indexed citations

Cody, Karly Alex, Rachael E. Wilson, Henrik Zetterberg, et al.. (2024). Visual read of [F‐18]florquinitau PET that includes and extends beyond the mesial temporal lobe is associated with increased plasma pTau217 and cognitive decline in a cohort that is enriched with risk for Alzheimer's disease. Alzheimer s & Dementia. 21(2). e14406–e14406. 2 indexed citations

Jonaitis, Erin M., Bruce P. Hermann, Kimberly D. Mueller, et al.. (2024). Longitudinal normative standards for cognitive tests and composites using harmonized data from two Wisconsin AD‐risk‐enriched cohorts. Alzheimer s & Dementia. 20(5). 3305–3321. 10 indexed citations

Cody, Karly Alex, Sanjay Asthana, Sterling C. Johnson, et al.. (2023). Effect of SUVR reference region selection on sampled iterative local approximation estimates of amyloid onset age. Alzheimer s & Dementia. 19(S17).

Salvadó, Gemma, Victoria Larsson, Karly Alex Cody, et al.. (2023). Optimal combinations of CSF biomarkers for predicting cognitive decline and clinical conversion in cognitively unimpaired participants and mild cognitive impairment patients: A multi‐cohort study. Alzheimer s & Dementia. 19(7). 2943–2955. 24 indexed citations

Jonaitis, Erin M., Shorena Janelidze, Karly Alex Cody, et al.. (2023). Plasma phosphorylated tau 217 in preclinical Alzheimer’s disease. Brain Communications. 5(2). fcad057–fcad057. 52 indexed citations

Du, Lianlian, Rebecca Langhough, Bruce P. Hermann, et al.. (2023). Associations between self-reported sleep patterns and health, cognition and amyloid measures: results from the Wisconsin Registry for Alzheimer’s Prevention. Brain Communications. 5(2). fcad039–fcad039. 5 indexed citations

Roberts, Grant S., Erin M. Jonaitis, Rebecca L. Koscik, et al.. (2023). Normative Cerebral Hemodynamics in Middle-aged and Older Adults Using 4D Flow MRI: Initial Analysis of Vascular Aging. Radiology. 307(3). e222685–e222685. 22 indexed citations

10.

Du, Lianlian, Bruce P. Hermann, Erin M. Jonaitis, et al.. (2023). Harnessing cognitive trajectory clusterings to examine subclinical decline risk factors. Brain Communications. 5(6). 4 indexed citations

11.

Miller, Kathleen B., Andrew G. Pearson, Karly Alex Cody, et al.. (2023). Age at natural menopause impacts cerebrovascular reactivity and brain structure. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 324(2). R207–R215. 11 indexed citations

12.

Mattsson, Niklas, Gemma Salvadó, Nicholas J. Ashton, et al.. (2023). Prediction of Longitudinal Cognitive Decline in Preclinical Alzheimer Disease Using Plasma Biomarkers. JAMA Neurology. 80(4). 360–360. 150 indexed citations breakdown →

13.

Salvadó, Gemma, Victoria Larsson, Karly Alex Cody, et al.. (2022). Best combination of CSF biomarkers for predicting cognitive decline and clinical progression: A multi‐cohort study. Alzheimer s & Dementia. 18(S6). 1 indexed citations

14.

Pearson, Andrew G., Kathleen B. Miller, Karly Alex Cody, et al.. (2022). Sympathoexcitatory Responses to Isometric Handgrip Exercise Are Associated With White Matter Hyperintensities in Middle-Aged and Older Adults. Frontiers in Aging Neuroscience. 14. 888470–888470. 3 indexed citations

15.

Zammit, Matthew, Minjie Wu, Douglas Dean, et al.. (2021). White matter microstructure associations with episodic memory in adults with Down syndrome: a tract-based spatial statistics study. Journal of Neurodevelopmental Disorders. 13(1). 17–17. 12 indexed citations

16.

Betthauser, Tobey J., Rebecca L. Koscik, Erin M. Jonaitis, et al.. (2020). Chronicity of amyloid: Methods for estimating amyloid onset and clinical research applications. Alzheimer s & Dementia. 16(S5). 1 indexed citations

17.

Mihaila, Iulia, Benjamin L. Handen, Bradley T. Christian, et al.. (2019). Leisure Activity, Brain β‐amyloid, and Episodic Memory in Adults with Down Syndrome. Developmental Neurobiology. 79(7). 738–749. 13 indexed citations

18.

Betthauser, Tobey J., Rebecca L. Koscik, Erin M. Jonaitis, et al.. (2019). Amyloid and tau imaging biomarkers explain cognitive decline from late middle-age. Brain. 143(1). 320–335. 106 indexed citations

19.

Betthauser, Tobey J., Karly Alex Cody, Matthew Zammit, et al.. (2018). In Vivo Characterization and Quantification of Neurofibrillary Tau PET Radioligand ¹⁸ F-MK-6240 in Humans from Alzheimer Disease Dementia to Young Controls. Journal of Nuclear Medicine. 60(1). 93–99. 160 indexed citations

20.

Lao, Patrick J., Tobey J. Betthauser, Karly Alex Cody, et al.. (2018). Imaging neurodegeneration in Down syndrome: brain templates for amyloid burden and tissue segmentation. Brain Imaging and Behavior. 13(2). 345–353. 20 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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