Sharna D. Jamadar

3.3k total citations · 2 hit papers
74 papers, 2.0k citations indexed

About

Sharna D. Jamadar is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sharna D. Jamadar has authored 74 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 22 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sharna D. Jamadar's work include Functional Brain Connectivity Studies (36 papers), Advanced MRI Techniques and Applications (15 papers) and Neural and Behavioral Psychology Studies (14 papers). Sharna D. Jamadar is often cited by papers focused on Functional Brain Connectivity Studies (36 papers), Advanced MRI Techniques and Applications (15 papers) and Neural and Behavioral Psychology Studies (14 papers). Sharna D. Jamadar collaborates with scholars based in Australia, United States and Germany. Sharna D. Jamadar's co-authors include Janette L. Smith, Gary F. Egan, Frini Karayanidis, Jaimi M. Iredale, Richard P. Mattick, Patricia T. Michie, Phillip G. D. Ward, Joanne Fielding, Edwina R. Orchard and Zhaolin Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Sharna D. Jamadar

72 papers receiving 2.0k citations

Hit Papers

Deficits in behavioural i... 2014 2026 2018 2022 2014 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharna D. Jamadar Australia 24 1.3k 357 284 265 246 74 2.0k
Óscar Miranda-Domínguez United States 19 1.2k 1.0× 436 1.2× 255 0.9× 129 0.5× 286 1.2× 50 1.9k
Kai Hwang United States 20 1.8k 1.4× 538 1.5× 326 1.1× 194 0.7× 233 0.9× 44 2.4k
Roger Tait United Kingdom 18 858 0.7× 532 1.5× 239 0.8× 188 0.7× 259 1.1× 39 1.8k
Bart Larsen United States 19 1.1k 0.8× 338 0.9× 307 1.1× 239 0.9× 253 1.0× 35 1.9k
Meng Li China 28 1.0k 0.8× 441 1.2× 380 1.3× 232 0.9× 277 1.1× 113 2.3k
Gianpaolo Basso Italy 23 1.9k 1.5× 559 1.6× 413 1.5× 181 0.7× 297 1.2× 62 2.8k
Paulo Marques Portugal 21 1.1k 0.9× 806 2.3× 250 0.9× 173 0.7× 233 0.9× 48 2.0k
Torgeir Moberget Norway 25 1.2k 0.9× 514 1.4× 323 1.1× 144 0.5× 480 2.0× 53 2.0k
Kelly S. Giovanello United States 28 2.1k 1.7× 311 0.9× 409 1.4× 207 0.8× 453 1.8× 71 2.8k
José Miguel Soares Portugal 19 1.2k 1.0× 778 2.2× 425 1.5× 135 0.5× 303 1.2× 47 2.3k

Countries citing papers authored by Sharna D. Jamadar

Since Specialization
Citations

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

Fields of papers citing papers by Sharna D. Jamadar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharna D. Jamadar. 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 Sharna D. Jamadar. The network helps show where Sharna D. Jamadar may publish in the future.

Co-authorship network of co-authors of Sharna D. Jamadar

This figure shows the co-authorship network connecting the top 25 collaborators of Sharna D. Jamadar. A scholar is included among the top collaborators of Sharna D. Jamadar 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 Sharna D. Jamadar. Sharna D. Jamadar 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
2.
Orchard, Edwina R., Sidhant Chopra, Leon Qi Rong Ooi, et al.. (2025). Protective role of parenthood on age-related brain function in mid- to late-life. Proceedings of the National Academy of Sciences. 122(9). e2411245122–e2411245122.
3.
Reed, Murray Bruce, L. Silberbauer, Godber Mathis Godbersen, et al.. (2025). Optimal filtering strategies for task-specific functional PET imaging. Journal of Cerebral Blood Flow & Metabolism. 45(9). 1760–1773. 2 indexed citations
4.
Deery, Hamish A, et al.. (2024). Reconfiguration of metabolic connectivity in ageing. Communications Biology. 7(1). 1600–1600. 5 indexed citations
5.
Sala, Arianna, Arianna Sala, Silvia Paola Caminiti, et al.. (2023). Brain connectomics: time for a molecular imaging perspective?. Trends in Cognitive Sciences. 27(4). 353–366. 50 indexed citations
6.
Orchard, Edwina R., Helena J. V. Rutherford, Avram J. Holmes, & Sharna D. Jamadar. (2023). Matrescence: lifetime impact of motherhood on cognition and the brain. Trends in Cognitive Sciences. 27(3). 302–316. 54 indexed citations breakdown →
7.
Voigt, Katharina, et al.. (2022). Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships. Cerebral Cortex. 33(4). 1476–1488. 19 indexed citations
9.
Orchard, Edwina R., Phillip G. D. Ward, Gary F. Egan, & Sharna D. Jamadar. (2022). Evidence of Subjective, But Not Objective, Cognitive Deficit in New Mothers at 1-Year Postpartum. Journal of Women s Health. 31(8). 1087–1096. 6 indexed citations
10.
Jamadar, Sharna D., Shenjun Zhong, Phillip G. D. Ward, et al.. (2022). Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET. GigaScience. 11. 13 indexed citations
11.
Tully, Phillip J., et al.. (2022). Blood pressure variability and structural brain changes: a systematic review. Journal of Hypertension. 40(6). 1060–1070. 16 indexed citations
13.
Wrigglesworth, Jo, Phillip G. D. Ward, Robyn L. Woods, et al.. (2021). Brain-predicted age difference is associated with cognitive processing in later-life. Neurobiology of Aging. 109. 195–203. 20 indexed citations
14.
Jamadar, Sharna D., Shenjun Zhong, Phillip G. D. Ward, et al.. (2021). Monash vis-fPET-fMRI. 1 indexed citations
15.
Jamadar, Sharna D., Shenjun Zhong, Alexandra Carey, et al.. (2021). Task-evoked simultaneous FDG-PET and fMRI data for measurement of neural metabolism in the human visual cortex. Scientific Data. 8(1). 267–267. 2 indexed citations
16.
Orchard, Edwina R., Phillip G. D. Ward, Sidhant Chopra, et al.. (2020). Neuroprotective Effects of Motherhood on Brain Function in Late Life: A Resting-State fMRI Study. Cerebral Cortex. 31(2). 1270–1283. 27 indexed citations
17.
Jamadar, Sharna D., Phillip G. D. Ward, Thomas Close, et al.. (2020). Simultaneous BOLD-fMRI and constant infusion FDG-PET data of the resting human brain. Scientific Data. 7(1). 363–363. 38 indexed citations
18.
Jamadar, Sharna D., Phillip G. D. Ward, Alexandra Carey, et al.. (2019). Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET. Journal of Visualized Experiments. 8 indexed citations
19.
Jamadar, Sharna D., Gary F. Egan, Vince D. Calhoun, Beth P. Johnson, & Joanne Fielding. (2016). Intrinsic Connectivity Provides the Baseline Framework for Variability in Motor Performance: A Multivariate Fusion Analysis of Low- and High-Frequency Resting-State Oscillations and Antisaccade Performance. Brain Connectivity. 6(6). 505–517. 7 indexed citations
20.
Jamadar, Sharna D., Patricia T. Michie, & Frini Karayanidis. (2009). Compensatory mechanisms underlie intact task-switching performance in schizophrenia. Neuropsychologia. 48(5). 1305–1323. 29 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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