Anisha Keshavan

2.6k total citations · 1 hit paper
28 papers, 1.0k citations indexed

About

Anisha Keshavan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Anisha Keshavan has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Anisha Keshavan's work include Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Multiple Sclerosis Research Studies (7 papers). Anisha Keshavan is often cited by papers focused on Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Multiple Sclerosis Research Studies (7 papers). Anisha Keshavan collaborates with scholars based in United States, Switzerland and Canada. Anisha Keshavan's co-authors include Satrajit Ghosh, Arno Klein, Yrjö Häme, Forrest Sheng Bao, Elias Chaibub Neto, Eliezer Stavsky, Noah Lee, Martin Reuter, Joachim Giard and Roland G. Henry and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Anisha Keshavan

27 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mindboggling morphometry of human brains

2017 378 citations Arno Klein, Satrajit Ghosh et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anisha Keshavan United States	13	479	240	175	165	105	28	1.0k
Andrew Hendrick United States	14	497 1.0×	396 1.6×	192 1.1×	42 0.3×	72 0.7×	34	1.3k
Sarah Lippé Canada	22	959 2.0×	188 0.8×	103 0.6×	94 0.6×	336 3.2×	114	1.9k
Christian Richelme France	11	554 1.2×	275 1.1×	90 0.5×	74 0.4×	214 2.0×	30	1.5k
Ruthger Righart Netherlands	16	1.1k 2.3×	265 1.1×	590 3.4×	109 0.7×	152 1.4×	18	1.8k
Herta H. Chao United States	27	1.0k 2.1×	183 0.8×	275 1.6×	61 0.4×	189 1.8×	68	1.8k
Christopher C. Hemond United States	13	531 1.1×	38 0.2×	238 1.4×	238 1.4×	72 0.7×	30	1.0k
Conrad Rockel Canada	16	423 0.9×	376 1.6×	44 0.3×	63 0.4×	174 1.7×	26	938
Jane Maryam Rondina United Kingdom	13	716 1.5×	333 1.4×	104 0.6×	33 0.2×	318 3.0×	22	1.2k
Peter Trillenberg Germany	22	521 1.1×	74 0.3×	90 0.5×	264 1.6×	124 1.2×	61	1.4k
Angela Tam Canada	16	570 1.2×	225 0.9×	140 0.8×	58 0.4×	235 2.2×	33	1.6k

Countries citing papers authored by Anisha Keshavan

Since Specialization

Citations

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

Fields of papers citing papers by Anisha Keshavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anisha Keshavan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Yibei, Dorota Jarecka, Rémi Gau, et al.. (2025). Standardizing Survey Data Collection to Enhance Reproducibility: Development and Comparative Evaluation of the ReproSchema Ecosystem. Journal of Medical Internet Research. 27. e63343–e63343. 1 indexed citations

Jalaleddini, Kian, Dejan Jakimovski, Anisha Keshavan, et al.. (2024). Proteomic signatures of physical, cognitive, and imaging outcomes in multiple sclerosis. Annals of Clinical and Translational Neurology. 11(3). 729–743. 7 indexed citations

Jakimovski, Dejan, Ferhan Qureshi, Murali Ramanathan, et al.. (2024). Lower arterial cerebral blood flow is associated with worse neuroinflammation and immunomodulation composite proteomic scores. Multiple Sclerosis and Related Disorders. 87. 105687–105687. 1 indexed citations

Jakimovski, Dejan, Ferhan Qureshi, Murali Ramanathan, et al.. (2023). Proteomics and relationship with axonal pathology in multiple sclerosis: 5-year diffusion tensor imaging study. Brain Communications. 5(3). fcad183–fcad183. 7 indexed citations

Chitnis, Tanuja, John Foley, Carolina Ionete, et al.. (2023). Clinical validation of a multi-protein, serum-based assay for disease activity assessments in multiple sclerosis. Clinical Immunology. 253. 109688–109688. 10 indexed citations

Klein, Arno, Jon Clucas, Satrajit Ghosh, et al.. (2021). Remote Digital Psychiatry for Mobile Mental Health Assessment and Therapy: MindLogger Platform Development Study. Journal of Medical Internet Research. 23(11). e22369–e22369. 18 indexed citations

Rowles, William, Antoine Lizée, Arno Klein, et al.. (2020). A Precision Medicine Tool for Patients With Multiple Sclerosis (the Open MS BioScreen): Human-Centered Design and Development. Journal of Medical Internet Research. 22(7). e15605–e15605. 22 indexed citations

Joseph, Michael, Derek Pisner, Adam Richie-Halford, et al.. (2020). dMRIPrep: a robust preprocessing pipeline for diffusion MRI. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Jordan, Kesshi, Anisha Keshavan, Eduardo Caverzasi, et al.. (2020). Longitudinal Disconnection Tractograms to Investigate the Functional Consequences of White Matter Damage: An Automated Pipeline. Journal of Neuroimaging. 30(4). 443–457.

10.

Keshavan, Anisha, Jason D. Yeatman, & Ariel Rokem. (2019). Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging. Frontiers in Neuroinformatics. 13. 29–29. 36 indexed citations

11.

Keshavan, Anisha & Jean‐Baptiste Poline. (2019). From the Wet Lab to the Web Lab: A Paradigm Shift in Brain Imaging Research. Frontiers in Neuroinformatics. 13. 3–3. 5 indexed citations

12.

Yeatman, Jason D., Adam Richie-Halford, Josh Smith, Anisha Keshavan, & Ariel Rokem. (2018). A browser-based tool for visualization and analysis of diffusion MRI data. Nature Communications. 9(1). 940–940. 36 indexed citations

13.

Klein, Arno, Satrajit Ghosh, Forrest Sheng Bao, et al.. (2017). Mindboggling morphometry of human brains. PLoS Computational Biology. 13(2). e1005350–e1005350. 378 indexed citations breakdown →

14.

Geddes, Maiya R., Aaron T. Mattfeld, Carlo de los Angeles, Anisha Keshavan, & John D. E. Gabrieli. (2017). Human aging reduces the neurobehavioral influence of motivation on episodic memory. NeuroImage. 171. 296–310. 19 indexed citations

15.

Keshavan, Anisha, Esha Datta, Ian M. McDonough, et al.. (2017). Mindcontrol: A web application for brain segmentation quality control. NeuroImage. 170. 365–372. 37 indexed citations

16.

Keshavan, Anisha, et al.. (2017). Interactive online brain shape visualization. SHILAP Revista de lepidopterología. 3. e12358–e12358. 2 indexed citations

17.

Jordan, Kesshi, Anisha Keshavan, Maria Luisa Mandelli, & Roland G. Henry. (2017). Cluster-viz: A Tractography QC Tool. SHILAP Revista de lepidopterología. 3. e12394–e12394. 1 indexed citations

18.

Biberacher, Viola, Paul J. Schmidt, Anisha Keshavan, et al.. (2016). Intra- and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis. NeuroImage. 142. 188–197. 67 indexed citations

19.

Doehrmann, Oliver, Frida E. Polli, Gretchen Reynolds, et al.. (2012). Predicting Treatment Response in Social Anxiety Disorder From Functional Magnetic Resonance Imaging. DSpace@MIT (Massachusetts Institute of Technology). 6 indexed citations

20.

Keshavan, M.S. & Anisha Keshavan. (1986). Points : Polydipsia and mood disorder without water intoxication. BMJ. 292(6518). 489.3–489. 2 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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