Elvisha Dhamala

965 total citations
23 papers, 401 citations indexed

About

Elvisha Dhamala is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Elvisha Dhamala has authored 23 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 11 papers in Experimental and Cognitive Psychology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Elvisha Dhamala's work include Functional Brain Connectivity Studies (16 papers), Mental Health Research Topics (11 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Elvisha Dhamala is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Mental Health Research Topics (11 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Elvisha Dhamala collaborates with scholars based in United States, Singapore and Australia. Elvisha Dhamala's co-authors include Avram J. Holmes, B.T. Thomas Yeo, Amy Kuceyeski, Keith Jamison, Abhishek Jaywant, Leon Qi Rong Ooi, Jasmine Kwasa, Termara Parker, Ru Kong and Jianzhong Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and NeuroImage.

In The Last Decade

Elvisha Dhamala

21 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elvisha Dhamala United States 11 266 114 106 51 41 23 401
Leon Qi Rong Ooi Singapore 10 270 1.0× 110 1.0× 107 1.0× 39 0.8× 33 0.8× 19 381
Meckenzie Behr United States 3 235 0.9× 100 0.9× 95 0.9× 37 0.7× 95 2.3× 5 382
Mariam Zabihi United Kingdom 7 346 1.3× 110 1.0× 113 1.1× 57 1.1× 99 2.4× 8 471
Alessandra D. Nostro Germany 5 243 0.9× 106 0.9× 71 0.7× 26 0.5× 28 0.7× 5 300
Suzanne C. Swagerman Netherlands 9 167 0.6× 84 0.7× 69 0.7× 15 0.3× 45 1.1× 9 308
Annchen R. Knodt United States 4 333 1.3× 149 1.3× 89 0.8× 23 0.5× 51 1.2× 4 484
Amanda Worker United Kingdom 8 138 0.5× 42 0.4× 117 1.1× 25 0.5× 72 1.8× 8 371
James W. Madole United States 10 145 0.5× 47 0.4× 87 0.8× 13 0.3× 41 1.0× 15 280
Wei-Ting Hsu United States 6 435 1.6× 166 1.5× 108 1.0× 29 0.6× 58 1.4× 7 504
Saige Rutherford United States 15 512 1.9× 217 1.9× 178 1.7× 63 1.2× 127 3.1× 30 713

Countries citing papers authored by Elvisha Dhamala

Since Specialization
Citations

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

Fields of papers citing papers by Elvisha Dhamala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elvisha Dhamala

This figure shows the co-authorship network connecting the top 25 collaborators of Elvisha Dhamala. A scholar is included among the top collaborators of Elvisha Dhamala 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 Elvisha Dhamala. Elvisha Dhamala 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.
Tam, Angela, Leon Qi Rong Ooi, Elvisha Dhamala, et al.. (2025). Distinct brain network features predict internalizing and externalizing traits in children, adolescents and adults. Nature Mental Health. 3(3). 306–317. 1 indexed citations
2.
Dhamala, Elvisha, Sidhant Chopra, Leon Qi Rong Ooi, et al.. (2025). 466. Sex Differences in the Functional Network Underpinnings of Psychotic-Like Experiences in Children. Biological Psychiatry. 97(9). S289–S289.
3.
Dhamala, Elvisha, Katherine L. Bottenhorn, Megan M. Herting, et al.. (2025). Hormonal contraceptive intake during adolescence and cortical brain measures in the ABCD Study. SHILAP Revista de lepidopterología. 3(1).
4.
Dong, Hao-Ming, Sidhant Chopra, Elvisha Dhamala, et al.. (2024). The cell-type underpinnings of the human functional cortical connectome. Nature Neuroscience. 28(1). 150–160. 11 indexed citations
5.
Dhamala, Elvisha, Dani S. Bassett, B.T. Thomas Yeo, & Avram J. Holmes. (2024). Functional brain networks are associated with both sex and gender in children. Science Advances. 10(28). eadn4202–eadn4202. 13 indexed citations
6.
Segal, Ashlea, Elvisha Dhamala, Carrisa V. Cocuzza, et al.. (2024). A shared spatial topography links the functional connectome correlates of cocaine use disorder and dopamine D2/3 receptor densities. Communications Biology. 7(1). 1178–1178. 2 indexed citations
7.
Rubio, José M., Todd Lencz, Hengyi Cao, et al.. (2024). Replication of a neuroimaging biomarker for striatal dysfunction in psychosis. Molecular Psychiatry. 29(4). 929–938. 3 indexed citations
8.
Brosch, Katharina & Elvisha Dhamala. (2024). Influences of sex and gender on the associations between risk and protective factors, brain, and behavior. Biology of Sex Differences. 15(1). 97–97. 1 indexed citations
9.
Dhamala, Elvisha, Lucina Q. Uddin, Liisa A.M. Galea, et al.. (2024). Considering the interconnected nature of social identities in neuroimaging research. Nature Neuroscience. 28(2). 222–233. 5 indexed citations
10.
Su, Chang, et al.. (2023). Graph‐matching distance between individuals' functional connectomes varies with relatedness, age, and cognitive score. Human Brain Mapping. 44(9). 3541–3554. 1 indexed citations
11.
Chopra, Sidhant, et al.. (2023). A Practical Guide for Generating Reproducible and Programmatic Neuroimaging Visualizations. SHILAP Revista de lepidopterología. 3. 5 indexed citations
12.
Dhamala, Elvisha, B.T. Thomas Yeo, & Avram J. Holmes. (2022). One Size Does Not Fit All: Methodological Considerations for Brain-Based Predictive Modeling in Psychiatry. Biological Psychiatry. 93(8). 717–728. 47 indexed citations
13.
Parker, Termara, et al.. (2022). Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data. Nature Neuroscience. 26(1). 4–11. 65 indexed citations
14.
Dhamala, Elvisha, Leon Qi Rong Ooi, Ru Kong, et al.. (2022). Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development. NeuroImage. 260. 119485–119485. 21 indexed citations
15.
Ooi, Leon Qi Rong, Jianzhong Chen, Shaoshi Zhang, et al.. (2022). Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI. NeuroImage. 263. 119636–119636. 62 indexed citations
16.
Dhamala, Elvisha, Keith Jamison, Abhishek Jaywant, & Amy Kuceyeski. (2021). Shared functional connections within and between cortical networks predict cognitive abilities in adult males and females. Human Brain Mapping. 43(3). 1087–1102. 19 indexed citations
17.
Dhamala, Elvisha, et al.. (2021). Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults. Human Brain Mapping. 42(10). 3102–3118. 52 indexed citations
18.
19.
Dhamala, Elvisha, Keith Jamison, Mert R. Sabuncu, & Amy Kuceyeski. (2020). Sex classification using long‐range temporal dependence of resting‐state functional MRI time series. Human Brain Mapping. 41(13). 3567–3579. 23 indexed citations
20.
Dhamala, Elvisha, et al.. (2019). Validation of in vivo MRS measures of metabolite concentrations in the human brain. NMR in Biomedicine. 32(3). e4058–e4058. 44 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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