Ravi V. Chacko

1.2k total citations · 1 hit paper
6 papers, 613 citations indexed

About

Ravi V. Chacko is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Ravi V. Chacko has authored 6 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Organic Chemistry. Recurrent topics in Ravi V. Chacko's work include Functional Brain Connectivity Studies (3 papers), Neural and Behavioral Psychology Studies (3 papers) and Neural dynamics and brain function (2 papers). Ravi V. Chacko is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), Neural and Behavioral Psychology Studies (3 papers) and Neural dynamics and brain function (2 papers). Ravi V. Chacko collaborates with scholars based in United States and Italy. Ravi V. Chacko's co-authors include Maurizio Corbetta, Nicholas V. Metcalf, Gordon L. Shulman, Carl D. Hacker, Joshua S. Siegel, Lenny Ramsey, Kilian Q. Weinberger, Antonello Baldassarre, Abraham Z. Snyder and Elisabeth A. Murray and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and NeuroImage.

In The Last Decade

Ravi V. Chacko

6 papers receiving 611 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.

Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke

2016 445 citations Joshua S. Siegel, Lenny Ramsey et al. Proceedings of the National Academy of Sciences profile →

Peers

Ravi V. Chacko

CN

RNMI

NEURO

REHAB

EPIDE

Anika Stockert Germany

Max Wawrzyniak Germany

Andrew T. DeMarco United States

Yohan Attal France

David B. FitzGerald United States

Julian Klingbeil Germany

Denise Y. Harvey United States

Elena Shumskaya Netherlands

Christoph Sperber Germany

Yee‐Haur Mah United Kingdom

Anika Stockert Germany

Ravi V. Chacko

389 ×0.8

CN

141 ×0.8

RNMI

101 ×1.5

NEURO

65 ×1.1

REHAB

40 ×0.7

EPIDE

Citations per year, relative to Ravi V. Chacko Ravi V. Chacko (= 1×) peers Anika Stockert

Countries citing papers authored by Ravi V. Chacko

Since Specialization

Citations

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

Fields of papers citing papers by Ravi V. Chacko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi V. Chacko

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

All Works

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6 of 6 papers shown

1.

Chacko, Ravi V., Timothy O. Laumann, Christine Horan, et al.. (2025). Psilocybin’s acute and persistent brain effects: a precision imaging drug trial. Scientific Data. 12(1). 941–941. 1 indexed citations

2.

Chacko, Ravi V., Byungchan Kim, Amy L. Daitch, et al.. (2018). Distinct phase-amplitude couplings distinguish cognitive processes in human attention. NeuroImage. 175. 111–121. 23 indexed citations

3.

Mitz, Andrew R., Ravi V. Chacko, Philip T. Putnam, Peter H. Rudebeck, & Elisabeth A. Murray. (2017). Using pupil size and heart rate to infer affective states during behavioral neurophysiology and neuropsychology experiments. Journal of Neuroscience Methods. 279. 1–12. 24 indexed citations

4.

Hawasli, Ammar H., Ravi V. Chacko, Nicholas Szrama, et al.. (2017). Electrophysiological Sequelae of Hemispherotomy in Ipsilateral Human Cortex. Frontiers in Human Neuroscience. 11. 149–149. 4 indexed citations

5.

Siegel, Joshua S., Lenny Ramsey, Abraham Z. Snyder, et al.. (2016). Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke. Proceedings of the National Academy of Sciences. 113(30). E4367–76. 445 indexed citations breakdown →

6.

Rudebeck, Peter H., Andrew R. Mitz, Ravi V. Chacko, & Elisabeth A. Murray. (2013). Effects of Amygdala Lesions on Reward-Value Coding in Orbital and Medial Prefrontal Cortex. Neuron. 80(6). 1519–1531. 116 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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