Anupa Arora
About
Anupa Arora is a scholar working on Psychiatry and Mental health, Physiology and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Anupa Arora has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Psychiatry and Mental health, 12 papers in Physiology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Anupa Arora's work include Alzheimer's disease research and treatments (12 papers), Dementia and Cognitive Impairment Research (12 papers) and Medical Imaging Techniques and Applications (6 papers). Anupa Arora is often cited by papers focused on Alzheimer's disease research and treatments (12 papers), Dementia and Cognitive Impairment Research (12 papers) and Medical Imaging Techniques and Applications (6 papers). Anupa Arora collaborates with scholars based in United States, Italy and France. Anupa Arora's co-authors include Michael J. Pontecorvo, Mark A. Mintun, Abhinay D. Joshi, Ming‐Chi Lu, Daniel Skovronsky, Carl Sadowsky, Alan Carpenter, P. Murali Doraiswamy, Adam Fleisher and Matthew Flitter and has published in prestigious journals such as Brain, The Lancet Neurology and Journal of Nuclear Medicine.
In The Last Decade
Anupa Arora
17 papers receiving 1.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Anupa Arora United States | 11 | 1.1k | 1.1k | 442 | 390 | 178 | 19 | 1.6k | ||
| Gill Farrar United Kingdom | 20 | 892 0.8× | 963 0.9× | 338 0.8× | 452 1.2× | 170 1.0× | 65 | 1.5k | ||
| Nelleke Tolboom Netherlands | 22 | 728 0.7× | 749 0.7× | 563 1.3× | 631 1.6× | 198 1.1× | 69 | 1.9k | ||
| Sander C.J. Verfaillie Netherlands | 26 | 1.1k 1.0× | 1.0k 0.9× | 536 1.2× | 451 1.2× | 201 1.1× | 59 | 1.9k | ||
| Daniele Altomare Switzerland | 18 | 725 0.7× | 694 0.6× | 376 0.9× | 330 0.8× | 234 1.3× | 52 | 1.7k | ||
| H. Wiste United States | 10 | 918 0.8× | 836 0.8× | 405 0.9× | 248 0.6× | 122 0.7× | 11 | 1.5k | ||
| C. C. Rowe Australia | 4 | 974 0.9× | 1.1k 1.0× | 411 0.9× | 281 0.7× | 184 1.0× | 4 | 1.5k | ||
| Tobey J. Betthauser United States | 23 | 956 0.9× | 844 0.8× | 299 0.7× | 228 0.6× | 226 1.3× | 97 | 1.7k | ||
| Michael Navitsky United States | 12 | 685 0.6× | 844 0.8× | 344 0.8× | 303 0.8× | 155 0.9× | 32 | 1.3k | ||
| Gemma Salvadó Spain | 22 | 767 0.7× | 805 0.7× | 268 0.6× | 223 0.6× | 194 1.1× | 59 | 1.5k | ||
| Clare L. Smith Australia | 9 | 658 0.6× | 713 0.7× | 246 0.6× | 263 0.7× | 144 0.8× | 25 | 1.2k |
Countries citing papers authored by Anupa Arora
Since
Specialization
Citations
This map shows the geographic impact of Anupa Arora'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 Anupa Arora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupa Arora more than expected).
Fields of papers citing papers by Anupa Arora
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Anupa Arora. 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 Anupa Arora. The network helps show where Anupa Arora may publish in the future.
Co-authorship network of co-authors of Anupa Arora
This figure shows the co-authorship network connecting the top 25 collaborators of Anupa Arora. A scholar is included among the top collaborators of Anupa Arora 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 Anupa Arora. Anupa Arora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Iaccarino, Leonardo, Samantha C. Burnham, Jian Wang, et al.. (2025). A practical overview of the use of amyloid-PET Centiloid values in clinical trials and research. NeuroImage Clinical. 46. 103765–103765.
2.
Shcherbinin, Sergey, Amanda Sheffield Morris, Ixavier A. Higgins, et al.. (2023). Tau as a diagnostic instrument in clinical trials to predict amyloid in Alzheimer's disease. Alzheimer s & Dementia Translational Research & Clinical Interventions. 9(3). e12415–e12415.
3.
Iaccarino, Leonardo, Ming‐Chi Lu, Anupa Arora, et al.. (2023). A comparison of two novel visual read‐based methods for high tau identification from flortaucipir‐PET. Alzheimer s & Dementia. 19(S10).
4.
Southekal, Sudeepti, Michael D. Devous, Michael Navitsky, et al.. (2019). DT‐01‐05: TEMPORAL LOBE QUANTITATION OF FLORTAUCIPIR PET IMAGES MAY IMPROVE DETECTION OF INTERMEDIATE NEUROFIBRILLARY TANGLE PATHOLOGY IN AUTOPSY‐VALIDATED CASES. Alzheimer s & Dementia. 15(7S_Part_28).
5.
Pontecorvo, Michael J., Michael D. Devous, Ian Kennedy, et al.. (2019). A multicentre longitudinal study of flortaucipir (18F) in normal ageing, mild cognitive impairment and Alzheimer’s disease dementia. Brain. 142(6). 1723–1735.
6.
Arora, Anupa, Michael J. Pontecorvo, Mark A. Mintun, et al.. (2019). Evaluation of a visual read method for flortaucipir PET Scans. 60. 252–252.
7.
Rogalskı, Emily, Jaiashre Sridhar, Adam Martersteck, et al.. (2019). Clinical and cortical decline in the aphasic variant of Alzheimer's disease. Alzheimer s & Dementia. 15(4). 543–552.
8.
Pontecorvo, Michael J., Michael D. Devous, Michael Navitsky, et al.. (2017). Relationships between flortaucipir PET tau binding and amyloid burden, clinical diagnosis, age and cognition. Brain. 140(3). aww334–aww334.
9.
Pontecorvo, Michael J., Andrew Siderowf, Bruno Dubois, et al.. (2017). Effectiveness of Florbetapir PET Imaging in Changing Patient Management. Dementia and Geriatric Cognitive Disorders. 44(3-4). 129–143.
10.
Pontecorvo, Michael J., Anupa Arora, Marybeth Devine, et al.. (2017). Quantitation of PET signal as an adjunct to visual interpretation of florbetapir imaging. European Journal of Nuclear Medicine and Molecular Imaging. 44(5). 825–837.
11.
Siderowf, Andrew, C. Dirk Keene, Thomas G. Beach, et al.. (2017). [P2–383]: COMPARISON OF REGIONAL FLORTAUCIPIR PET TO QUANTITATIVE TAU AND AMYLOID IMMUNOASSAY IN PATIENTS WITH ALZHEIMER's DISEASE PATHOLOGY: A PILOT CLINICO‐PATHOLOGICAL STUDY. Alzheimer s & Dementia. 13(7S_Part_16).
12.
Grundman, Michael, Keith A. Johnson, Ming‐Chi Lu, et al.. (2016). Effect of Amyloid Imaging on the Diagnosis and Management of Patients with Cognitive Decline: Impact of Appropriate Use Criteria. Dementia and Geriatric Cognitive Disorders. 41(1-2). 80–92.
13.
Pontecorvo, Michael J., Michael D. Devous, Abhinay D. Joshi, et al.. (2015). Relationships between 18F-AV-1451 (aka 18F-T807) PET Tau Binding and Amyloid Burden in Cognitively Normal Subjects and Patients with Cognitive Impairments Suspected of Alzheimer’s Disease. 56. 245–245.
14.
Pontecorvo, Michael J., Michael Grundman, Bruno Dubois, et al.. (2015). DT‐02‐03: A randomized, controlled, multicenter, international study of the impact of florbetapir (18F) PET amyloid imaging on patient management and outcome. Alzheimer s & Dementia. 11(7S_Part_7).
15.
Siderowf, Andrew, Michael J. Pontecorvo, Holly A. Shill, et al.. (2014). PET imaging of amyloid with Florbetapir F 18 and PET imaging of dopamine degeneration with 18F-AV-133 (florbenazine) in patients with Alzheimer’s disease and Lewy body disorders. BMC Neurology. 14(1). 79–79.
16.
Pontecorvo, Michael J., Michael D. Devous, Anupa Arora, et al.. (2014). Can incorporation of a quantitative estimate of cortical to cerebellar SUVr as an adjunct to visual interpretation improve the accuracy and reliability of florbetapir PET scan interpretation. 55. 245–245.
17.
Grundman, Michael, Michael J. Pontecorvo, Stephen Salloway, et al.. (2012). Potential Impact of Amyloid Imaging on Diagnosis and Intended Management in Patients With Progressive Cognitive Decline. Alzheimer Disease & Associated Disorders. 27(1). 4–15.
18.
Joshi, Abhinay D., Michael J. Pontecorvo, Alan Carpenter, et al.. (2012). Performance Characteristics of Amyloid PET with Florbetapir F 18 in Patients with Alzheimer's Disease and Cognitively Normal Subjects. Journal of Nuclear Medicine. 53(3). 378–384.
19.
Clark, Christopher M., Michael J. Pontecorvo, Thomas G. Beach, et al.. (2012). Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-β plaques: a prospective cohort study. The Lancet Neurology. 11(8). 669–678.
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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