Arjun V. Masurkar

4.1k total citations
54 papers, 1.1k citations indexed

About

Arjun V. Masurkar is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Arjun V. Masurkar has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Psychiatry and Mental health, 14 papers in Cellular and Molecular Neuroscience and 11 papers in Cognitive Neuroscience. Recurrent topics in Arjun V. Masurkar's work include Dementia and Cognitive Impairment Research (19 papers), Alzheimer's disease research and treatments (11 papers) and Olfactory and Sensory Function Studies (9 papers). Arjun V. Masurkar is often cited by papers focused on Dementia and Cognitive Impairment Research (19 papers), Alzheimer's disease research and treatments (11 papers) and Olfactory and Sensory Function Studies (9 papers). Arjun V. Masurkar collaborates with scholars based in United States, Chile and Greece. Arjun V. Masurkar's co-authors include Wei R. Chen, Davangere P. Devanand, Charles A. Greer, Gordon M. Shepherd, A. Reccius, Katherine T. Nguyen, Amy H. Huang, Nils Petersen, David C. Willhite and Randolph S. Marshall and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Applied Physics Letters.

In The Last Decade

Arjun V. Masurkar

47 papers receiving 1.0k citations

Peers

Arjun V. Masurkar

CMN

Gerrit Tissingh Netherlands

Seok Jong Chung South Korea

Ulrich Dillmann Germany

Guangwei Du United States

Jana Godau Germany

Hugo C. Baggio Spain

Alexandra Gaenslen Germany

Carlo de Lena Italy

Jinse Park South Korea

Leslie J. Findley United Kingdom

Gerrit Tissingh Netherlands

Arjun V. Masurkar

580 ×1.5

CMN

167 ×0.5

83 ×0.4

193 ×1.0

131 ×0.8

Citations per year, relative to Arjun V. Masurkar Arjun V. Masurkar (= 1×) peers Gerrit Tissingh

Countries citing papers authored by Arjun V. Masurkar

Since Specialization

Citations

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

Fields of papers citing papers by Arjun V. Masurkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arjun V. Masurkar. 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 Arjun V. Masurkar. The network helps show where Arjun V. Masurkar may publish in the future.

Co-authorship network of co-authors of Arjun V. Masurkar

This figure shows the co-authorship network connecting the top 25 collaborators of Arjun V. Masurkar. A scholar is included among the top collaborators of Arjun V. Masurkar 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 Arjun V. Masurkar. Arjun V. Masurkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Masurkar, Arjun V., et al.. (2025). Tortuous extracranial arteries contribute to white Matter hyperintensities in aging brains. Frontiers in Aging Neuroscience. 17. 1641214–1641214.

Kenney, Rachel, et al.. (2025). Tablet-Based Assessment of Picture Naming in Prodromal Alzheimer’s Disease: An Accessible and Effective Tool for Distinguishing Mild Cognitive Impairment from Normal Aging. Dementia and Geriatric Cognitive Disorders. 55(1). 3–14.

Ma, Xinyue, Sumit Chopra, John A. Dodson, et al.. (2024). Predicting Alzheimer’s Diseases and Related Dementias in 3‐year timeframe with AI Foundation Model on Electronic Health Records. Alzheimer s & Dementia. 20(S7). 1 indexed citations

Masurkar, Arjun V., Nisha Bansal, David K. Prince, et al.. (2024). Alzheimer Disease–Related Biomarkers in Patients on Maintenance Hemodialysis. Kidney Medicine. 6(11). 100897–100897.

Masurkar, Arjun V., Sagar Buch, Yongsheng Chen, et al.. (2024). Vascular Aging in the Choroid Plexus: A 7T Ultrasmall Superparamagnetic Iron Oxide (USPIO)‐MRI Study. Journal of Magnetic Resonance Imaging. 60(6). 2564–2575. 4 indexed citations

Faustin, Arline, Yian Zhang, Omonigho M. Bubu, et al.. (2024). Two-Year Longitudinal Outcomes of Subjective Cognitive Decline in Hispanics Compared to Non-hispanic Whites. Journal of Geriatric Psychiatry and Neurology. 38(1). 23–31.

Betensky, Rebecca A., et al.. (2024). The Association between measures of Sleepiness and Subjective Cognitive Decline symptoms in a diverse population of cognitively normal older Adults. Alzheimer s & Dementia. 20(S3). e091665–e091665.

Masurkar, Arjun V., et al.. (2024). Factors Affecting Resilience and Prevention of Alzheimer's Disease and Related Dementias. Annals of Neurology. 96(4). 633–649. 12 indexed citations

Rothstein, Aaron, Yian Zhang, Yongzhao Shao, et al.. (2023). Impact of white matter hyperintensities on subjective cognitive decline phenotype in a diverse cohort of cognitively normal older adults. International Journal of Geriatric Psychiatry. 38(6). e5948–e5948. 5 indexed citations

10.

Devanand, Davangere P., Arjun V. Masurkar, & Thomas Wısnıewskı. (2023). Vigorous, regular physical exercise may slow disease progression in Alzheimer's disease. Alzheimer s & Dementia. 19(4). 1592–1597. 9 indexed citations

11.

Masurkar, Arjun V., et al.. (2022). Cortical myelin profile variations in healthy aging brain: A T1w/T2w ratio study. NeuroImage. 264. 119743–119743. 15 indexed citations

12.

Liu, Sheng, Arjun V. Masurkar, Henry Rusinek, et al.. (2022). Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs. Scientific Reports. 12(1). 17106–17106. 90 indexed citations

13.

Reisberg, ‌Barry, Yongzhao Shao, Sunnie Kenowsky, et al.. (2020). Psychometric Cognitive Decline Precedes the Advent of Subjective Cognitive Decline in the Evolution of Alzheimer’s Disease. Dementia and Geriatric Cognitive Disorders. 49(1). 16–21. 7 indexed citations

14.

Wu, Shirley, Arjun V. Masurkar, & Laura J. Balcer. (2020). Afferent and Efferent Visual Markers of Alzheimer’s Disease: A Review and Update in Early Stage Disease. Frontiers in Aging Neuroscience. 12. 572337–572337. 23 indexed citations

15.

Masurkar, Arjun V., et al.. (2017). Permanent water swelling effect in low temperature thermally reduced graphene oxide. Applied Physics Letters. 110(25). 7 indexed citations

16.

Petersen, Nils, Santiago Ortega‐Gutiérrez, A. Reccius, et al.. (2013). Comparison of Non-invasive and Invasive Arterial Blood Pressure Measurement for Assessment of Dynamic Cerebral Autoregulation. Neurocritical Care. 20(1). 60–68. 28 indexed citations

17.

Masurkar, Arjun V. & Wei R. Chen. (2012). The influence of single bursts versus single spikes at excitatory dendrodendritic synapses. European Journal of Neuroscience. 35(3). 389–401. 3 indexed citations

18.

Masurkar, Arjun V., Jun-Ling Xing, Fumiaki Imamura, et al.. (2009). Optical Imaging of Postsynaptic Odor Representation in the Glomerular Layer of the Mouse Olfactory Bulb. Journal of Neurophysiology. 102(2). 817–830. 61 indexed citations

19.

Masurkar, Arjun V.. (2008). Improving Primary Care: Strategies and Tools for a Better Practice. The Yale Journal of Biology and Medicine. 81(1). 50–50. 33 indexed citations

20.

Xiong, Wenhui, et al.. (2006). Dendritic Calcium Plateau Potentials Modulate Input–Output Properties of Juxtaglomerular Cells in the Rat Olfactory Bulb. Journal of Neurophysiology. 96(5). 2354–2363. 19 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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