Melissa Petersen

824 total citations
39 papers, 414 citations indexed

About

Melissa Petersen is a scholar working on Psychiatry and Mental health, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Melissa Petersen has authored 39 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Psychiatry and Mental health, 21 papers in Physiology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Melissa Petersen's work include Dementia and Cognitive Impairment Research (29 papers), Alzheimer's disease research and treatments (19 papers) and Nutritional Studies and Diet (7 papers). Melissa Petersen is often cited by papers focused on Dementia and Cognitive Impairment Research (29 papers), Alzheimer's disease research and treatments (19 papers) and Nutritional Studies and Diet (7 papers). Melissa Petersen collaborates with scholars based in United States, United Kingdom and Norway. Melissa Petersen's co-authors include Sid E. O’Bryant, Leigh Johnson, James Hall, Fan Zhang, Robert A. Rissman, Kristine Yaffe, Arthur W. Toga, Meredith N. Braskie, Peter E. Glennon and Mary N. Sheppard and has published in prestigious journals such as The Journals of Gerontology Series A, Heart and Journal of Alzheimer s Disease.

In The Last Decade

Melissa Petersen

38 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa Petersen United States 12 237 183 59 52 48 39 414
Miia Kivipelto Sweden 11 163 0.7× 177 1.0× 45 0.8× 72 1.4× 27 0.6× 37 440
Nada Abdalla United States 5 224 0.9× 171 0.9× 34 0.6× 57 1.1× 26 0.5× 7 446
Hannah Stocker Germany 14 234 1.0× 255 1.4× 43 0.7× 109 2.1× 32 0.7× 35 598
Ara Khachaturian United States 4 221 0.9× 181 1.0× 23 0.4× 46 0.9× 16 0.3× 10 396
Charles Apgar United States 6 345 1.5× 250 1.4× 36 0.6× 50 1.0× 19 0.4× 10 503
Bruce Albala United States 9 189 0.8× 205 1.1× 21 0.4× 43 0.8× 28 0.6× 21 432
Rujuan Miao China 7 110 0.5× 193 1.1× 67 1.1× 77 1.5× 12 0.3× 8 454
Daniela De Fazio Australia 2 368 1.6× 263 1.4× 39 0.7× 53 1.0× 59 1.2× 2 628
Farshad Falahati Sweden 12 226 1.0× 194 1.1× 29 0.5× 48 0.9× 19 0.4× 23 516

Countries citing papers authored by Melissa Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Petersen

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Petersen. A scholar is included among the top collaborators of Melissa Petersen 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 Melissa Petersen. Melissa Petersen 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.
2.
Knell, Gregory, et al.. (2025). Alzheimer's disease plasma biomarkers and physical functioning in a diverse sample of adults. Alzheimer s & Dementia. 21(1). e14322–e14322. 1 indexed citations
3.
Petersen, Melissa, Zhengyang Zhou, James Hall, et al.. (2025). Health and Aging Brain Study–Health Disparities (HABS‐HD) methods and partner characteristics. Alzheimer s & Dementia Translational Research & Clinical Interventions. 11(3). e70140–e70140.
4.
Petersen, Melissa, Fan Zhang, James Hall, et al.. (2025). Characterization of plasma AT(N) biomarkers among a racial and ethnically diverse community‐based cohort: an HABS‐HD study. Alzheimer s & Dementia Translational Research & Clinical Interventions. 11(1). e70045–e70045. 4 indexed citations
5.
Petersen, Melissa, Lisi Flores Aguilar, Elizabeth Head, et al.. (2024). Blood biomarkers in Down syndrome: Facilitating Alzheimer's disease detection and monitoring. Alzheimer s & Dementia. 21(1). e14364–e14364. 7 indexed citations
6.
Stern, Andrew M., Lei Liu, Beth L. Ostaszewski, et al.. (2023). Plasma NT1‐tau and Aβ42 correlate with age and cognitive function in two large Down syndrome cohorts. Alzheimer s & Dementia. 19(12). 5755–5764. 4 indexed citations
7.
8.
Hartley, Sigan L., Dana Tudorascu, Melissa Petersen, et al.. (2023). AT(N) Biomarker profiles and Alzheimer’s Disease clinical status and memory in adults with down syndrome. Alzheimer s & Dementia. 19(S3). 1 indexed citations
9.
Zhang, Fan, Melissa Petersen, Leigh Johnson, et al.. (2023). A Machine Learning-Based Multiple Imputation Method for the Health and Aging Brain Study–Health Disparities. Informatics. 10(4). 77–77. 2 indexed citations
10.
O’Bryant, Sid E., Melissa Petersen, James Hall, & Leigh Johnson. (2022). APOEε4 Genotype Is Related to Brain Amyloid Among Mexican Americans in the HABS-HD Study. Frontiers in Neurology. 13. 834685–834685. 11 indexed citations
11.
Hall, James, Melissa Petersen, Leigh Johnson, & Sid E. O’Bryant. (2022). Characterizing Plasma Biomarkers of Alzheimer's in a Diverse Community-Based Cohort: A Cross-Sectional Study of the HAB-HD Cohort. Frontiers in Neurology. 13. 871947–871947. 23 indexed citations
12.
O’Bryant, Sid E., Robert C. Barber, Leigh Johnson, et al.. (2022). The Link between APOE4 Presence and Neuropsychological Test Performance among Mexican Americans and Non-Hispanic Whites of the Multiethnic Health & Aging Brain Study – Health Disparities Cohort. Dementia and Geriatric Cognitive Disorders. 51(1). 26–31. 13 indexed citations
13.
O’Bryant, Sid E., et al.. (2022). Metabolic Factors Are Related to Brain Amyloid Among Mexican Americans: A HABS-HD Study. Journal of Alzheimer s Disease. 86(4). 1745–1750. 7 indexed citations
14.
O’Bryant, Sid E., et al.. (2022). Medical comorbidities and ethnicity impact plasma Alzheimer's disease biomarkers: Important considerations for clinical trials and practice. Alzheimer s & Dementia. 19(1). 36–43. 67 indexed citations
15.
Petersen, Melissa, et al.. (2022). Application of Structural Retinal Biomarkers to Detect Cognitive Impairment in a Primary Care Setting. Journal of Alzheimer s Disease Reports. 6(1). 749–755. 1 indexed citations
16.
O’Bryant, Sid E., Fan Zhang, Melissa Petersen, et al.. (2021). A Precision Medicine Approach to Treating Alzheimer’s Disease Using Rosiglitazone Therapy: A Biomarker Analysis of the REFLECT Trials. Journal of Alzheimer s Disease. 81(2). 557–568. 18 indexed citations
17.
Zhang, Fan, Melissa Petersen, Leigh Johnson, James Hall, & Sid E. O’Bryant. (2021). Accelerating Hyperparameter Tuning in Machine Learning for Alzheimer’s Disease With High Performance Computing. Frontiers in Artificial Intelligence. 4. 798962–798962. 12 indexed citations
18.
O’Bryant, Sid E., et al.. (2021). Analysis of a precision medicine approach to treating Parkinson's disease: Analysis of the DATATOP study. Parkinsonism & Related Disorders. 94. 15–21. 5 indexed citations
19.
Hall, James, Leigh Johnson, Fan Zhang, et al.. (2021). Using Fractional Anisotropy Imaging to Detect Mild Cognitive Impairment and Alzheimer’s Disease among Mexican Americans and Non-Hispanic Whites: A HABLE Study. Dementia and Geriatric Cognitive Disorders. 50(3). 266–273. 9 indexed citations
20.

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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