Jeffrey R. Petrella

16.4k total citations
101 papers, 4.5k citations indexed

About

Jeffrey R. Petrella is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Jeffrey R. Petrella has authored 101 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Psychiatry and Mental health, 43 papers in Radiology, Nuclear Medicine and Imaging and 40 papers in Cognitive Neuroscience. Recurrent topics in Jeffrey R. Petrella's work include Dementia and Cognitive Impairment Research (45 papers), Functional Brain Connectivity Studies (35 papers) and Advanced Neuroimaging Techniques and Applications (27 papers). Jeffrey R. Petrella is often cited by papers focused on Dementia and Cognitive Impairment Research (45 papers), Functional Brain Connectivity Studies (35 papers) and Advanced Neuroimaging Techniques and Applications (27 papers). Jeffrey R. Petrella collaborates with scholars based in United States, Australia and Belgium. Jeffrey R. Petrella's co-authors include P. Murali Doraiswamy, James M. Provenzale, R. Edward Coleman, Kingshuk Roy Choudhury, Stefan T. Engelter, Steven E. Prince, Forrest Sheldon, Vince D. Calhoun, Melissa J. Slavin and Cécile Grandin and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Jeffrey R. Petrella

99 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey R. Petrella United States 36 1.7k 1.6k 1.5k 860 371 101 4.5k
Güray Erus United States 33 1.2k 0.7× 1.7k 1.1× 1.0k 0.7× 553 0.6× 270 0.7× 116 4.0k
Andreas Fellgiebel Germany 40 1.7k 1.0× 1.6k 1.0× 1.5k 1.1× 1.8k 2.1× 520 1.4× 128 4.6k
Hajime Kitagaki Japan 36 1.2k 0.7× 812 0.5× 1.3k 0.9× 1.1k 1.2× 647 1.7× 129 4.1k
Carles Falcón Spain 40 1.1k 0.6× 1.9k 1.2× 1.3k 0.9× 711 0.8× 535 1.4× 155 4.9k
Geon‐Ho Jahng South Korea 33 2.1k 1.2× 972 0.6× 705 0.5× 677 0.8× 501 1.4× 157 4.0k
Manja Lehmann United Kingdom 31 1.2k 0.7× 1.7k 1.1× 1.8k 1.3× 1.4k 1.6× 593 1.6× 55 4.3k
Anthony F. Fotenos United States 10 1.3k 0.8× 2.1k 1.3× 1.5k 1.0× 1.1k 1.2× 252 0.7× 12 3.9k
Fumio Yamashita Japan 32 1.0k 0.6× 894 0.6× 946 0.6× 639 0.7× 722 1.9× 131 3.3k
Pauli Vainio Finland 40 1.5k 0.8× 1.7k 1.1× 1.9k 1.3× 1.2k 1.4× 575 1.5× 97 6.5k
Susanne G. Mueller United States 33 1.7k 1.0× 2.1k 1.3× 2.3k 1.6× 1.4k 1.6× 306 0.8× 66 5.2k

Countries citing papers authored by Jeffrey R. Petrella

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey R. Petrella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey R. Petrella. 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 Jeffrey R. Petrella. The network helps show where Jeffrey R. Petrella may publish in the future.

Co-authorship network of co-authors of Jeffrey R. Petrella

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey R. Petrella. A scholar is included among the top collaborators of Jeffrey R. Petrella 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 Jeffrey R. Petrella. Jeffrey R. Petrella 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.
Petrella, Jeffrey R., et al.. (2025). Artificial Intelligence–Assisted Detection of Amyloid-Related Imaging Abnormalities: Promise and Pitfalls. American Journal of Neuroradiology. 47(2). 289–292. 1 indexed citations
2.
Franceschi, Ana M., Tammie L.S. Benzinger, Petrice M. Cogswell, et al.. (2025). Clinical Role of Brain PET in Alzheimer Disease in the Era of Disease-Modifying Therapies. American Journal of Neuroradiology. 46(8). 1521–1527. 1 indexed citations
3.
Zhou, Longfei, et al.. (2023). MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum. Radiology. 309(1). e222441–e222441. 12 indexed citations
4.
Clark, Michael, et al.. (2023). Changes in resting state networks in high school football athletes across a single season. British Journal of Radiology. 96(1144). 20220359–20220359. 2 indexed citations
5.
Hao, Wenrui, Suzanne Lenhart, & Jeffrey R. Petrella. (2022). Optimal anti-amyloid-beta therapy for Alzheimer’s disease via a personalized mathematical model. PLoS Computational Biology. 18(9). e1010481–e1010481. 17 indexed citations
6.
Zheng, Haoyang, et al.. (2022). Data-driven causal model discovery and personalized prediction in Alzheimer's disease. npj Digital Medicine. 5(1). 137–137. 14 indexed citations
7.
Motter, Jeffrey N., Seonjoo Lee, Joel R. Sneed, et al.. (2021). Cortical thickness predicts remission of depression with antidepressants in patients with late-life depression and cognitive impairment. Journal of Affective Disorders. 295. 438–445. 12 indexed citations
8.
Doraiswamy, P. Murali, et al.. (2021). Diffusion Tensor MRI Structural Connectivity and PET Amyloid Burden in Preclinical Autosomal Dominant Alzheimer Disease: The DIAN Cohort. Radiology. 302(1). 143–150. 10 indexed citations
9.
Richardson, Jordan, Julie Uchitel, Lyndsey Prange, et al.. (2020). Magnetic resonance imaging volumetric analysis in patients with Alternating hemiplegia of childhood: A pilot study. European Journal of Paediatric Neurology. 26. 15–19. 5 indexed citations
10.
Petrella, Jeffrey R., et al.. (2019). Computational Causal Modeling of the Dynamic Biomarker Cascade in Alzheimer’s Disease. Computational and Mathematical Methods in Medicine. 2019. 1–8. 35 indexed citations
11.
Goldberg, Terry E., Joel R. Sneed, Nancy Kerner, et al.. (2019). Cognitive training and neuroplasticity in mild cognitive impairment (COG-IT): protocol for a two-site, blinded, randomised, controlled treatment trial. BMJ Open. 9(8). e028536–e028536. 24 indexed citations
12.
Gong, Nan‐Jie, Samuel J. Kuzminski, Michael Clark, et al.. (2018). Microstructural alterations of cortical and deep gray matter over a season of high school football revealed by diffusion kurtosis imaging. Neurobiology of Disease. 119. 79–87. 23 indexed citations
13.
Shpanskaya, Katie, Joseph E. Lucas, Jeffrey R. Petrella, et al.. (2018). Sex Differences in Cognitive Decline in Subjects with High Likelihood of Mild Cognitive Impairment due to Alzheimer’s disease. Scientific Reports. 8(1). 7490–7490. 101 indexed citations
14.
Kuzminski, Samuel J., Michael Clark, Melissa A. Fraser, et al.. (2017). White Matter Changes Related to Subconcussive Impact Frequency during a Single Season of High School Football. American Journal of Neuroradiology. 39(2). 245–251. 34 indexed citations
15.
Tanpitukpongse, Teerath Peter, et al.. (2017). Predictive Utility of Marketed Volumetric Software Tools in Subjects at Risk for Alzheimer Disease: Do Regions Outside the Hippocampus Matter?. American Journal of Neuroradiology. 38(3). 546–552. 50 indexed citations
16.
Black, David F., Behroze Vachha, Asim Mian, et al.. (2017). American Society of Functional Neuroradiology–Recommended fMRI Paradigm Algorithms for Presurgical Language Assessment. American Journal of Neuroradiology. 38(10). E65–E73. 97 indexed citations
17.
Murphy, Kelly R., Susan Landau, Kingshuk Roy Choudhury, et al.. (2013). Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth. NeuroImage. 78. 474–480. 43 indexed citations
18.
Lampert, Erika J., et al.. (2013). Prevalence of Alzheimer’s Pathologic Endophenotypes in Asymptomatic and Mildly Impaired First-Degree Relatives. PLoS ONE. 8(4). e60747–e60747. 14 indexed citations
19.
Gaillard, William D., Bonnie C. Sachs, Lyn Balsamo, et al.. (2003). Developmental aspects of language processing: fMRI of verbal fluency in children and adults. Human Brain Mapping. 18(3). 176–185. 185 indexed citations
20.
Engelter, Stefan T., James M. Provenzale, & Jeffrey R. Petrella. (2000). Assessment of vasogenic edema in eclampsia using diffusion imaging. Neuroradiology. 42(11). 818–820. 38 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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