Richard J. Caselli

3.7k total citations · 1 hit paper
57 papers, 2.7k citations indexed

About

Richard J. Caselli is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Richard J. Caselli has authored 57 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Psychiatry and Mental health, 21 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Physiology. Recurrent topics in Richard J. Caselli's work include Dementia and Cognitive Impairment Research (22 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and Alzheimer's disease research and treatments (16 papers). Richard J. Caselli is often cited by papers focused on Dementia and Cognitive Impairment Research (22 papers), Advanced Neuroimaging Techniques and Applications (18 papers) and Alzheimer's disease research and treatments (16 papers). Richard J. Caselli collaborates with scholars based in United States, China and Germany. Richard J. Caselli's co-authors include Eric M. Reiman, Leslie C. Baxter, Gene G. Hunder, Jack P. Whisnant, Donald J. Connor, Gene E. Alexander, Bryan K. Woodruff, Dona E.C. Locke, Jiong Shi and Amylou C. Dueck and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Richard J. Caselli

56 papers receiving 2.6k citations

Hit Papers

Multicenter Standardized ... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard J. Caselli United States 24 1.1k 1.1k 656 474 370 57 2.7k
Thomas Duning Germany 32 564 0.5× 1.0k 1.0× 414 0.6× 515 1.1× 431 1.2× 101 3.6k
Manabu Tashiro Japan 36 601 0.5× 1.1k 1.1× 511 0.8× 696 1.5× 395 1.1× 179 3.9k
Panagiotis Alexopoulos Germany 29 1.2k 1.1× 945 0.9× 522 0.8× 340 0.7× 174 0.5× 110 2.6k
Matthew Bobinski United States 19 858 0.8× 936 0.9× 485 0.7× 417 0.9× 138 0.4× 50 2.0k
Hajime Kitagaki Japan 36 1.3k 1.2× 1.1k 1.0× 812 1.2× 1.2k 2.5× 529 1.4× 129 4.1k
Leonardo Iaccarino Italy 33 778 0.7× 893 0.8× 607 0.9× 417 0.9× 136 0.4× 106 2.9k
Keijo Koivisto Finland 30 1.4k 1.2× 1.2k 1.2× 488 0.7× 184 0.4× 209 0.6× 63 3.4k
Samantha Galluzzi Italy 29 1.2k 1.1× 884 0.8× 872 1.3× 651 1.4× 306 0.8× 68 2.7k
John Wade United Kingdom 18 804 0.7× 674 0.6× 376 0.6× 207 0.4× 277 0.7× 34 2.5k
Timothy J. Hohman United States 31 1.1k 1.0× 1.1k 1.1× 522 0.8× 301 0.6× 216 0.6× 174 3.2k

Countries citing papers authored by Richard J. Caselli

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. Caselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Caselli. 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 Richard J. Caselli. The network helps show where Richard J. Caselli may publish in the future.

Co-authorship network of co-authors of Richard J. Caselli

This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Caselli. A scholar is included among the top collaborators of Richard J. Caselli 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 Richard J. Caselli. Richard J. Caselli 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.
Bergamino, Maurizio, Anna Burke, Leslie C. Baxter, et al.. (2023). Longitudinal Assessment of Intravoxel Incoherent Motion Diffusion-Weighted MRI (IVIM-DWI) Metrics in Alzheimer’s Disease. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
2.
Bergamino, Maurizio, Anna Burke, Leslie C. Baxter, et al.. (2022). Longitudinal Assessment of Intravoxel Incoherent Motion Diffusion‐Weighted MRI Metrics in Cognitive Decline. Journal of Magnetic Resonance Imaging. 56(6). 1845–1862. 5 indexed citations
3.
Zhang, Jie, Qunxi Dong, Jie Shi, et al.. (2021). Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Analysis. 70. 102009–102009. 1 indexed citations
4.
Wu, Jianfeng, Qunxi Dong, Jie Zhang, et al.. (2021). Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology. Frontiers in Neuroscience. 15. 762458–762458. 7 indexed citations
5.
Dong, Qunxi, Wen Zhang, Cynthia M. Stonnington, et al.. (2020). Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline. NeuroImage Clinical. 27. 102338–102338. 12 indexed citations
6.
Mi, Liang, Wen Zhang, Dhruman D. Goradia, et al.. (2020). Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study. Neuroinformatics. 18(4). 531–548. 2 indexed citations
7.
Dong, Qunxi, Wen Zhang, Jianfeng Wu, et al.. (2019). Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects. NeuroImage Clinical. 22. 101744–101744. 36 indexed citations
8.
Zhang, Jie, Qingyang Li, Richard J. Caselli, et al.. (2017). Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline. Lecture notes in computer science. 10265. 184–197. 13 indexed citations
9.
Caselli, Richard J., Amylou C. Dueck, Dona E.C. Locke, et al.. (2015). Sex-Based Memory Advantages and Cognitive Aging: A Challenge to the Cognitive Reserve Construct?. Journal of the International Neuropsychological Society. 21(2). 95–104. 33 indexed citations
10.
Shi, Jie, Cynthia M. Stonnington, Paul M. Thompson, et al.. (2014). Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry. NeuroImage. 104. 1–20. 39 indexed citations
11.
Lu, Po H., Mario F. Mendez, Grace J. Lee, et al.. (2013). Patterns of Brain Atrophy in Clinical Variants of Frontotemporal Lobar Degeneration. Dementia and Geriatric Cognitive Disorders. 35(1-2). 34–50. 35 indexed citations
12.
Caselli, Richard J., Amylou C. Dueck, Dona E.C. Locke, et al.. (2011). Cerebrovascular risk factors and preclinical memory decline in healthy APOE ε4 homozygotes. Neurology. 76(12). 1078–1084. 57 indexed citations
13.
Bunyan, Reem F., et al.. (2011). Childhood-Onset Multiple Sclerosis With Progressive Dementia and Pathological Cortical Demyelination. Archives of Neurology. 68(4). 525–525. 11 indexed citations
14.
Locke, Dona E.C., Kara Dassel, Geri Richards Hall, et al.. (2009). Assessment of Patient and Caregiver Experiences of Dementia-Related Symptoms: Development of the Multidimensional Assessment of Neurodegenerative Symptoms Questionnaire. Dementia and Geriatric Cognitive Disorders. 27(3). 260–272. 8 indexed citations
15.
Driver‐Dunckley, Erika, Bryan K. Woodruff, Kay E. Wellik, et al.. (2009). Efficacy of Rivastigmine for Cognitive Symptoms in Parkinson Disease With Dementia. The Neurologist. 15(4). 234–237. 11 indexed citations
16.
Chen, Kewei, Eric M. Reiman, Gene E. Alexander, et al.. (2007). Correlations Between Apolipoprotein E ε4 Gene Dose and Whole Brain Atrophy Rates. American Journal of Psychiatry. 164(6). 916–921. 89 indexed citations
17.
Alexander, Gene E., Kewei Chen, Tricia L. Merkley, et al.. (2006). Regional network of magnetic resonance imaging gray matter volume in healthy aging. Neuroreport. 17(10). 951–956. 70 indexed citations
18.
Caselli, Richard J., et al.. (1999). A kinematic study of progressive apraxia with and without dementia. Movement Disorders. 14(2). 276–287. 11 indexed citations
19.
Caselli, Richard J., Eric M. Reiman, Dagmar Timmann, et al.. (1995). Progressive Apraxia in Clinically Discordant Monozygotic Twins. Archives of Neurology. 52(10). 1004–1010. 8 indexed citations
20.
Caselli, Richard J., Neill R. Graff‐Radford, & Karim Rezai. (1991). Thalamocortical diaschisis : single-photon emission tomographic study of cortical blood flow changes after focal thalamic infarction. 4(3). 193–214. 13 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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