Dan Bandy

6.3k total citations · 1 hit paper
22 papers, 2.2k citations indexed

About

Dan Bandy is a scholar working on Psychiatry and Mental health, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dan Bandy has authored 22 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Psychiatry and Mental health, 8 papers in Physiology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dan Bandy's work include Dementia and Cognitive Impairment Research (12 papers), Alzheimer's disease research and treatments (7 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Dan Bandy is often cited by papers focused on Dementia and Cognitive Impairment Research (12 papers), Alzheimer's disease research and treatments (7 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). Dan Bandy collaborates with scholars based in United States, China and Australia. Dan Bandy's co-authors include Eric M. Reiman, Kewei Chen, A. D. Craig, Robert A. Koeppe, Norman L. Foster, William J. Jagust, Adam Fleisher, Wendy Lee, Gene E. Alexander and Daniel L. Schacter and has published in prestigious journals such as Neuron, Nature Neuroscience and PLoS ONE.

In The Last Decade

Dan Bandy

22 papers receiving 2.2k citations

Hit Papers

Thermosensory activation of insular cortex 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Bandy United States 14 1.0k 962 953 352 236 22 2.2k
Gérard N. Bischof Germany 22 925 0.9× 865 0.9× 632 0.7× 253 0.7× 204 0.9× 52 2.1k
Lang Sheng Yun United States 5 1.2k 1.2× 677 0.7× 707 0.7× 232 0.7× 181 0.8× 6 2.2k
Roberta Perri Italy 34 1.6k 1.5× 1.6k 1.7× 733 0.8× 445 1.3× 288 1.2× 92 2.9k
Miranka Wirth Germany 32 1.2k 1.1× 997 1.0× 741 0.8× 412 1.2× 353 1.5× 76 2.7k
Mira Didic France 28 1.3k 1.2× 1.2k 1.2× 742 0.8× 274 0.8× 244 1.0× 53 2.2k
Robert Laforce Canada 26 1.1k 1.1× 1.1k 1.2× 717 0.8× 229 0.7× 376 1.6× 117 2.6k
Clare Galton United Kingdom 8 1.1k 1.1× 1.0k 1.0× 545 0.6× 144 0.4× 204 0.9× 11 1.8k
Brad C. Dickerson United States 16 1.5k 1.5× 1.1k 1.1× 937 1.0× 446 1.3× 327 1.4× 45 2.6k
Michele L. Ries United States 22 1.8k 1.7× 974 1.0× 530 0.6× 616 1.8× 211 0.9× 31 3.0k
Nasim Maleki United States 25 852 0.8× 1.5k 1.5× 539 0.6× 354 1.0× 311 1.3× 52 2.7k

Countries citing papers authored by Dan Bandy

Since Specialization
Citations

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

Fields of papers citing papers by Dan Bandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Bandy

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Bandy. A scholar is included among the top collaborators of Dan Bandy 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 Dan Bandy. Dan Bandy 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.
Sabbagh, Marwan N., Kewei Chen, Joseph Rogers, et al.. (2015). Florbetapir PET, FDG PET, and MRI in Down syndrome individuals with and without Alzheimer's dementia. Alzheimer s & Dementia. 11(8). 994–1004. 52 indexed citations
2.
Chen, Kewei, Napatkamon Ayutyanont, Auttawut Roontiva, et al.. (2013). Association between an Alzheimer’s Disease-Related Index and APOE ε4 Gene Dose. PLoS ONE. 8(6). e67163–e67163. 14 indexed citations
3.
Caselli, Richard J., Kewei Chen, Dona E.C. Locke, et al.. (2013). Subjective cognitive decline: Self and informant comparisons. Alzheimer s & Dementia. 10(1). 93–98. 121 indexed citations
4.
Sabbagh, Marwan N., Kewei Chen, Carolyn Liebsack, et al.. (2013). P1–358: Florbetapir PET, FDG‐PET and MRI in people with Down syndrome with and without symptomatic Alzheimer's disease. Alzheimer s & Dementia. 9(4S_Part_7). 1 indexed citations
6.
Chen, Kewei, Napatkamon Ayutyanont, Jessica B. Langbaum, et al.. (2011). Characterizing Alzheimer's disease using a hypometabolic convergence index. NeuroImage. 56(1). 52–60. 123 indexed citations
7.
Rosenfeld, Amy, et al.. (2011). Use of Positron Emission Tomography in the Evaluation of Diffuse Intrinsic Brainstem Gliomas in Children. Journal of Pediatric Hematology/Oncology. 33(5). 369–373. 16 indexed citations
8.
Wu, Xia, Kewei Chen, Li Yao, et al.. (2010). Assessing the reliability to detect cerebral hypometabolism in probable Alzheimer's disease and amnestic mild cognitive impairment. Journal of Neuroscience Methods. 192(2). 277–285. 13 indexed citations
10.
Jagust, William J., Dan Bandy, Kewei Chen, et al.. (2010). The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core. Alzheimer s & Dementia. 6(3). 221–229. 420 indexed citations
11.
Langbaum, Jessica B., Kewei Chen, Wendy Lee, et al.. (2009). Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer's Disease Neuroimaging Initiative (ADNI). NeuroImage. 45(4). 1107–1116. 222 indexed citations
12.
Ayutyanont, Napatkamon, Kewei Chen, Victor L. Villemagne, et al.. (2009). Using the Artificial Neural Network to discriminate between normal controls with different APOE e4 genotypes and probable AD cases in PIB-PET studies. 297. 1–5. 1 indexed citations
14.
Caselli, Richard J., Kewei Chen, Dan Bandy, et al.. (2006). A Preliminary Fluorodeoxyglucose Positron Emission Tomography Study in Healthy Adults Reporting Dream-Enactment Behavior. SLEEP. 29(7). 927–933. 28 indexed citations
15.
Chen, Kewei, Xiaolin Ge, Li Yao, et al.. (2006). An automated normative-based fluorodeoxyglucose positron emission tomography image-analysis procedure to aid Alzheimer disease diagnosis using statistical parametric mapping and interactive image display. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6144. 614453–614453. 2 indexed citations
16.
Guimond, Alexandre, F. Joel W.-M. Leong, Robert A. McLaughlin, et al.. (2005). P35 FDG PET PROBABILISTIC ATLAS: USE AND PRELIMINARY RESULT FOR ASSESSMENT OF ALZHEIMER??S DISEASE. Nuclear Medicine Communications. 26(3). 293–294. 1 indexed citations
17.
Craig, A. D., Kewei Chen, Dan Bandy, & Eric M. Reiman. (2000). Thermosensory activation of insular cortex. Nature Neuroscience. 3(2). 184–190. 796 indexed citations breakdown →
18.
Schacter, Daniel L., Anne Uecker, Eric M. Reiman, et al.. (1997). Effects of size and orientation change on hippocampal activation during episodic recognition. Neuroreport. 8(18). 3993–3998. 39 indexed citations
19.
Schacter, Daniel L., Eric M. Reiman, Tim Curran, et al.. (1996). Neuroanatomical Correlates of Veridical and Illusory Recognition Memory: Evidence from Positron Emission Tomography. Neuron. 17(2). 267–274. 233 indexed citations
20.
Bandy, Dan. (1990). Retropharyngeal space: Evaluation of normal anatomy and diseases with CT and MR imaging. Journal of Oral and Maxillofacial Surgery. 48(10). 1133–1133. 6 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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