Sucharit Katyal

520 total citations
23 papers, 299 citations indexed

About

Sucharit Katyal is a scholar working on Cognitive Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Sucharit Katyal has authored 23 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 4 papers in Clinical Psychology and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Sucharit Katyal's work include Visual perception and processing mechanisms (10 papers), Neural dynamics and brain function (9 papers) and Mindfulness and Compassion Interventions (4 papers). Sucharit Katyal is often cited by papers focused on Visual perception and processing mechanisms (10 papers), Neural dynamics and brain function (9 papers) and Mindfulness and Compassion Interventions (4 papers). Sucharit Katyal collaborates with scholars based in United States, United Kingdom and Denmark. Sucharit Katyal's co-authors include David Ress, Stephen A. Engel, Sheng He, Bin He, Philippe R. Goldin, Stephen M. Fleming, Ricky R. Savjani, Greg Hajcak, Chandrajit Bajaj and Qin Zhang and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Sucharit Katyal

23 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sucharit Katyal United States 10 246 47 38 34 26 23 299
Job van den Hurk Netherlands 10 245 1.0× 76 1.6× 62 1.6× 22 0.6× 23 0.9× 23 365
Sofia Crespi Italy 10 348 1.4× 47 1.0× 36 0.9× 19 0.6× 49 1.9× 23 417
Brianna Jeska United States 7 325 1.3× 80 1.7× 57 1.5× 20 0.6× 19 0.7× 8 420
Johanna Bergmann Germany 10 373 1.5× 30 0.6× 78 2.1× 12 0.4× 22 0.8× 16 430
Jukka S. Rahko Finland 7 382 1.6× 125 2.7× 40 1.1× 32 0.9× 20 0.8× 7 423
Michal Ramot United States 14 598 2.4× 59 1.3× 69 1.8× 20 0.6× 11 0.4× 19 635
Willa I. Voorhies United States 13 394 1.6× 62 1.3× 68 1.8× 27 0.8× 17 0.7× 22 471
Afrooz Jahedi United States 10 611 2.5× 119 2.5× 53 1.4× 26 0.8× 43 1.7× 12 656
Federico Chella Italy 11 394 1.6× 51 1.1× 37 1.0× 33 1.0× 11 0.4× 18 443
Andre Chevrier Canada 7 284 1.2× 26 0.6× 32 0.8× 32 0.9× 8 0.3× 10 347

Countries citing papers authored by Sucharit Katyal

Since Specialization
Citations

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

Fields of papers citing papers by Sucharit Katyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sucharit Katyal

This figure shows the co-authorship network connecting the top 25 collaborators of Sucharit Katyal. A scholar is included among the top collaborators of Sucharit Katyal 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 Sucharit Katyal. Sucharit Katyal 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.
Katyal, Sucharit, Quentin J. M. Huys, Raymond J. Dolan, & Stephen M. Fleming. (2025). Distorted learning from local metacognition supports transdiagnostic underconfidence. Nature Communications. 16(1). 1854–1854. 3 indexed citations
2.
Katyal, Sucharit, et al.. (2024). Reduced processing of afforded actions while observing mental content as ongoing mental phenomena. Scientific Reports. 14(1). 10130–10130. 1 indexed citations
3.
Katyal, Sucharit, et al.. (2023). An Accumulating Neural Signal Underlying Binocular Rivalry Dynamics. Journal of Neuroscience. 43(50). 8777–8784. 1 indexed citations
4.
Katyal, Sucharit & Stephen M. Fleming. (2023). The future of metacognition research: Balancing construct breadth with measurement rigor. Cortex. 171. 223–234. 12 indexed citations
5.
Katyal, Sucharit, et al.. (2022). Characteristics of Kundalini-Related Sensory, Motor, and Affective Experiences During Tantric Yoga Meditation. Frontiers in Psychology. 13. 863091–863091. 2 indexed citations
6.
Katyal, Sucharit. (2022). Reducing and deducing the structures of consciousness through meditation. Frontiers in Psychology. 13. 884512–884512. 7 indexed citations
7.
Katyal, Sucharit & Philippe R. Goldin. (2021). Alpha and theta oscillations are inversely related to progressive levels of meditation depth. Neuroscience of Consciousness. 2021(1). niab042–niab042. 24 indexed citations
8.
Katyal, Sucharit & Philippe R. Goldin. (2021). Neural correlates of nonjudgmental perception induced through meditation. Annals of the New York Academy of Sciences. 1499(1). 70–81. 5 indexed citations
9.
Katyal, Sucharit, et al.. (2020). Event-related potential and behavioural differences in affective self-referential processing in long-term meditators versus controls. Cognitive Affective & Behavioral Neuroscience. 20(2). 326–339. 14 indexed citations
10.
Katyal, Sucharit, Sheng He, Bin He, & Stephen A. Engel. (2019). Frequency of alpha oscillation predicts individual differences in perceptual stability during binocular rivalry. Human Brain Mapping. 40(8). 2422–2433. 30 indexed citations
11.
Katyal, Sucharit, et al.. (2018). Conflict-sensitive neurons gate interocular suppression in human visual cortex. Scientific Reports. 8(1). 1239–1239. 26 indexed citations
12.
Ruggles, Dorea, et al.. (2017). Sustained Cortical and Subcortical Measures of Auditory and Visual Plasticity following Short-Term Perceptual Learning. PLoS ONE. 12(1). e0168858–e0168858. 7 indexed citations
13.
Savjani, Ricky R., et al.. (2017). Polar-angle representation of saccadic eye movements in human superior colliculus. NeuroImage. 171. 199–208. 17 indexed citations
14.
Katyal, Sucharit, Stephen A. Engel, Bin He, & Sheng He. (2016). Neurons that detect interocular conflict during binocular rivalry revealed with EEG. Journal of Vision. 16(3). 18–18. 38 indexed citations
15.
Katyal, Sucharit, Sheng He, & Stephen A. Engel. (2015). Adapting the mechanism that initiates binocular rivalry. 15(12). 274–274. 1 indexed citations
16.
Katyal, Sucharit, Sang Hyun Cho, Stephen A. Engel, & Shunping He. (2014). Neural signature of the initiation of binocular rivalry. Journal of Vision. 14(10). 1238–1238. 1 indexed citations
17.
Katyal, Sucharit & David Ress. (2014). Endogenous Attention Signals Evoked by Threshold Contrast Detection in Human Superior Colliculus. Journal of Neuroscience. 34(3). 892–900. 24 indexed citations
18.
Katyal, Sucharit & David Ress. (2013). Attentional base response in intermediate layers of human superior colliculus measured using high-resolution fMRI. Journal of Vision. 13(9). 224–224. 3 indexed citations
19.
Katyal, Sucharit, et al.. (2012). High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain. Journal of Visualized Experiments. e3746–e3746. 7 indexed citations
20.
Zhang, Qin, et al.. (2010). Surface-based analysis methods for high-resolution functional magnetic resonance imaging. Graphical Models. 73(6). 313–322. 24 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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