Shruti Japee

2.3k total citations · 1 hit paper
37 papers, 1.6k citations indexed

About

Shruti Japee is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Neurology. According to data from OpenAlex, Shruti Japee has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 9 papers in Experimental and Cognitive Psychology and 4 papers in Neurology. Recurrent topics in Shruti Japee's work include Face Recognition and Perception (17 papers), Neural and Behavioral Psychology Studies (14 papers) and Visual perception and processing mechanisms (10 papers). Shruti Japee is often cited by papers focused on Face Recognition and Perception (17 papers), Neural and Behavioral Psychology Studies (14 papers) and Visual perception and processing mechanisms (10 papers). Shruti Japee collaborates with scholars based in United States, Australia and China. Shruti Japee's co-authors include Leslie G. Ungerleider, Luiz Pessoa, Ikuko Mukai, Kelsey A. Holiday, Maureen D. Satyshur, David A. Sturman, Roland N. Pittman, Christopher G. Ellis, Brenna Argall and Robert W. Cox and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and NeuroImage.

In The Last Decade

Shruti Japee

37 papers receiving 1.6k citations

Hit Papers

A role of right middle frontal gyrus in reorienting of at... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shruti Japee United States 18 1.2k 365 177 168 107 37 1.6k
Jöran Lepsien Germany 22 1.7k 1.3× 348 1.0× 235 1.3× 218 1.3× 162 1.5× 56 2.2k
Carlo Sestieri Italy 24 1.8k 1.4× 381 1.0× 290 1.6× 185 1.1× 235 2.2× 70 2.1k
Conny F. Schmidt Switzerland 14 1.3k 1.0× 396 1.1× 140 0.8× 315 1.9× 229 2.1× 19 1.7k
Mark M. Schira Australia 22 1.2k 1.0× 168 0.5× 356 2.0× 140 0.8× 141 1.3× 48 1.7k
Vanessa Sluming United Kingdom 20 1.2k 1.0× 262 0.7× 421 2.4× 228 1.4× 202 1.9× 42 1.8k
Ruthger Righart Netherlands 16 1.1k 0.9× 590 1.6× 265 1.5× 324 1.9× 152 1.4× 18 1.8k
Wilkin Chau Canada 15 1.2k 0.9× 203 0.6× 166 0.9× 91 0.5× 151 1.4× 25 1.5k
Simone Vossel Germany 22 2.5k 2.0× 395 1.1× 217 1.2× 228 1.4× 291 2.7× 51 2.9k
E. Darcy Burgund United States 13 2.1k 1.7× 438 1.2× 265 1.5× 151 0.9× 201 1.9× 26 2.4k

Countries citing papers authored by Shruti Japee

Since Specialization
Citations

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

Fields of papers citing papers by Shruti Japee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shruti Japee

This figure shows the co-authorship network connecting the top 25 collaborators of Shruti Japee. A scholar is included among the top collaborators of Shruti Japee 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 Shruti Japee. Shruti Japee 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.
Atlas, Lauren Y., Cristan Farmer, Alison Gibbons, et al.. (2025). Dynamic effects of psychiatric vulnerability, loneliness and isolation on distress during the first year of the COVID-19 pandemic. Nature Mental Health. 3(2). 199–211. 1 indexed citations
2.
Japee, Shruti, et al.. (2023). Emotion and anxiety interact to bias spatial attention.. Emotion. 24(4). 1109–1124. 2 indexed citations
3.
Zhang, Hui, et al.. (2023). Equivalent processing of facial expression and identity by macaque visual system and task-optimized neural network. NeuroImage. 273. 120067–120067. 6 indexed citations
4.
Japee, Shruti, Jessica Jordan, Gang Chen, et al.. (2023). Inability to move one's face dampens facial expression perception. Cortex. 169. 35–49. 5 indexed citations
5.
Baker, Chris I., et al.. (2023). A database of heterogeneous faces for studying naturalistic expressions. Scientific Reports. 13(1). 5383–5383. 6 indexed citations
6.
Chai, Yuhui, et al.. (2022). Layer-specific, retinotopically-diffuse modulation in human visual cortex in response to viewing emotionally expressive faces. Nature Communications. 13(1). 6302–6302. 13 indexed citations
7.
Zhang, Hui, et al.. (2020). Anterior superior temporal sulcus is specialized for non-rigid facial motion in both monkeys and humans. NeuroImage. 218. 116878–116878. 28 indexed citations
8.
Zhang, Xilin, et al.. (2018). The role of inferior frontal junction in controlling the spatially global effect of feature-based attention in human visual areas. PLoS Biology. 16(6). e2005399–e2005399. 28 indexed citations
9.
Vernet, Marine, et al.. (2017). Endogenous visuospatial attention increases visual awareness independent of visual discrimination sensitivity. Neuropsychologia. 128. 297–304. 9 indexed citations
10.
Zhang, Xilin, et al.. (2017). Attentional selection of multiple objects in the human visual system. NeuroImage. 163. 231–243. 12 indexed citations
11.
Zhang, Hui, et al.. (2016). Face-selective regions differ in their ability to classify facial expressions. NeuroImage. 130. 77–90. 44 indexed citations
12.
Pitcher, David, et al.. (2016). The Superior Temporal Sulcus Is Causally Connected to the Amygdala: A Combined TBS-fMRI Study. Journal of Neuroscience. 37(5). 1156–1161. 58 indexed citations
13.
Japee, Shruti, Kelsey A. Holiday, Maureen D. Satyshur, Ikuko Mukai, & Leslie G. Ungerleider. (2015). A role of right middle frontal gyrus in reorienting of attention: a case study. Frontiers in Systems Neuroscience. 9. 23–23. 371 indexed citations breakdown →
14.
Doty, Tracy Jill, Shruti Japee, Martin Ingvar, & Leslie G. Ungerleider. (2014). Intersubject variability in fearful face processing: the linkbetween behavior and neural activation. Cognitive Affective & Behavioral Neuroscience. 14(4). 1438–1453. 13 indexed citations
15.
Doty, Tracy Jill, Shruti Japee, Martin Ingvar, & Leslie G. Ungerleider. (2013). Fearful face detection sensitivity in healthy adults correlates with anxiety-related traits.. Emotion. 13(2). 183–188. 41 indexed citations
16.
Pessoa, Luiz, Andrew F. Rossi, Shruti Japee, Robert Desimone, & Leslie G. Ungerleider. (2008). Attentional control during the transient updating of cue information. Brain Research. 1247. 149–158. 26 indexed citations
17.
Mukai, Ikuko, David Kim, Masaki Fukunaga, et al.. (2007). Activations in Visual and Attention-Related Areas Predict and Correlate with the Degree of Perceptual Learning. Journal of Neuroscience. 27(42). 11401–11411. 142 indexed citations
18.
Japee, Shruti, Roland N. Pittman, & Christopher G. Ellis. (2005). Automated Method for Tracking Individual Red Blood Cells Within Capillaries to Compute Velocity and Oxygen Saturation. Microcirculation. 12(6). 507–515. 32 indexed citations
19.
Japee, Shruti, Roland N. Pittman, & Christopher G. Ellis. (2005). A New Video Image Analysis System to Study Red Blood Cell Dynamics and Oxygenation in Capillary Networks. Microcirculation. 12(6). 489–506. 50 indexed citations
20.
Japee, Shruti, Christopher G. Ellis, & Roland N. Pittman. (2004). Flow Visualization Tools for Image Analysis of Capillary Networks. Microcirculation. 11(1). 39–54. 40 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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