Srikanth Padmala

3.1k total citations
34 papers, 2.2k citations indexed

About

Srikanth Padmala is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Srikanth Padmala has authored 34 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 15 papers in Experimental and Cognitive Psychology and 5 papers in Psychiatry and Mental health. Recurrent topics in Srikanth Padmala's work include Neural and Behavioral Psychology Studies (27 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (12 papers) and Functional Brain Connectivity Studies (10 papers). Srikanth Padmala is often cited by papers focused on Neural and Behavioral Psychology Studies (27 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (12 papers) and Functional Brain Connectivity Studies (10 papers). Srikanth Padmala collaborates with scholars based in United States, India and Germany. Srikanth Padmala's co-authors include Luiz Pessoa, Thomas Morland, Andrew Bauer, Jong Moon Choi, Seung-Lark Lim, Kesong Hu, Brenton W. McMenamin, Sandra J. E. Langeslag, Philip A. Spechler and Ronny N. Gentry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Srikanth Padmala

31 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Srikanth Padmala United States 25 1.8k 778 294 225 172 34 2.2k
Eran Eldar Israel 19 1.1k 0.6× 569 0.7× 195 0.7× 153 0.7× 166 1.0× 49 1.5k
Tobias Flaisch Germany 24 2.6k 1.4× 783 1.0× 485 1.6× 275 1.2× 279 1.6× 42 3.2k
Joshua M. Carlson United States 27 1.8k 1.0× 1.2k 1.6× 263 0.9× 433 1.9× 191 1.1× 76 2.7k
Aprajita Mohanty United States 26 1.8k 1.0× 1.0k 1.3× 329 1.1× 405 1.8× 385 2.2× 63 2.6k
Rebecca J. Compton United States 25 1.5k 0.8× 898 1.2× 339 1.2× 375 1.7× 157 0.9× 59 2.1k
Joshua Carp United States 22 1.7k 0.9× 468 0.6× 292 1.0× 205 0.9× 184 1.1× 27 2.2k
Jonathan R. Folstein United States 11 2.2k 1.2× 711 0.9× 341 1.2× 207 0.9× 160 0.9× 27 2.6k
Jeffrey S. Maxwell United States 13 1.4k 0.7× 616 0.8× 304 1.0× 262 1.2× 113 0.7× 14 1.8k
Vincent van Veen United States 10 3.1k 1.7× 841 1.1× 471 1.6× 326 1.4× 360 2.1× 13 3.7k
Jonathan P. Dunning United States 16 890 0.5× 538 0.7× 196 0.7× 263 1.2× 105 0.6× 19 1.5k

Countries citing papers authored by Srikanth Padmala

Since Specialization
Citations

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

Fields of papers citing papers by Srikanth Padmala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srikanth Padmala

This figure shows the co-authorship network connecting the top 25 collaborators of Srikanth Padmala. A scholar is included among the top collaborators of Srikanth Padmala 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 Srikanth Padmala. Srikanth Padmala 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.
Padmala, Srikanth, et al.. (2022). Arousal-driven interactions between reward motivation and categorization of emotional facial expressions. Frontiers in Psychology. 13. 985652–985652.
2.
Morrow, Kelly, et al.. (2021). Controllability over stressor decreases responses in key threat-related brain areas. Communications Biology. 4(1). 42–42. 33 indexed citations
3.
Chen, Gang, Srikanth Padmala, Yi Chen, et al.. (2020). To pool or not to pool: Can we ignore cross-trial variability in FMRI?. NeuroImage. 225. 117496–117496. 23 indexed citations
4.
Portugal, Liana Catarina Lima, Tiago Arruda Sanchez, Izabela Mocaiber, et al.. (2020). Interactions between emotion and action in the brain. NeuroImage. 214. 116728–116728. 37 indexed citations
5.
Padmala, Srikanth, Nicola Sambuco, & Luiz Pessoa. (2019). Interactions between reward motivation and emotional processing. Progress in brain research. 247. 1–21. 16 indexed citations
6.
Padmala, Srikanth, et al.. (2018). Dynamic Threat Processing. Journal of Cognitive Neuroscience. 31(4). 522–542. 28 indexed citations
7.
Bissonette, Gregory B., Ronny N. Gentry, Srikanth Padmala, Luiz Pessoa, & Matthew R. Roesch. (2014). Impact of appetitive and aversive outcomes on brain responses: linking the animal and human literatures. Frontiers in Systems Neuroscience. 8. 24–24. 39 indexed citations
8.
McMenamin, Brenton W., et al.. (2014). Network Organization Unfolds over Time during Periods of Anxious Anticipation. Journal of Neuroscience. 34(34). 11261–11273. 107 indexed citations
9.
Padmala, Srikanth & Luiz Pessoa. (2014). Motivation versus aversive processing during perception.. Emotion. 14(3). 450–454. 26 indexed citations
10.
Hu, Kesong, Srikanth Padmala, & Luiz Pessoa. (2013). Interactions between reward and threat during visual processing. Neuropsychologia. 51(9). 1763–1772. 32 indexed citations
11.
Padmala, Srikanth, et al.. (2012). Network Analysis Reveals Increased Integration during Emotional and Motivational Processing. Journal of Neuroscience. 32(24). 8361–8372. 116 indexed citations
12.
Choi, Jong Moon, Srikanth Padmala, & Luiz Pessoa. (2011). Impact of state anxiety on the interaction between threat monitoring and cognition. NeuroImage. 59(2). 1912–1923. 109 indexed citations
13.
Hu, Kesong, Andrew Bauer, Srikanth Padmala, & Luiz Pessoa. (2011). Threat of bodily harm has opposing effects on cognition.. Emotion. 12(1). 28–32. 54 indexed citations
14.
Pessoa, Luiz, et al.. (2011). Interactions between cognition and emotion during response inhibition.. Emotion. 12(1). 192–197. 154 indexed citations
15.
Padmala, Srikanth & Luiz Pessoa. (2010). Moment-to-moment fluctuations in fMRI amplitude and interregion coupling are predictive of inhibitory performance. Cognitive Affective & Behavioral Neuroscience. 10(2). 279–297. 15 indexed citations
16.
Padmala, Srikanth. (2010). Pulvinar and affective significance: responses track moment-to-moment stimulus visibility. Frontiers in Human Neuroscience. 4. 49 indexed citations
17.
Lim, Seung-Lark, Srikanth Padmala, & Luiz Pessoa. (2008). Affective learning modulates spatial competition during low-load attentional conditions. Neuropsychologia. 46(5). 1267–1278. 72 indexed citations
18.
Padmala, Srikanth & Luiz Pessoa. (2008). Affective Learning Enhances Visual Detection and Responses in Primary Visual Cortex. Journal of Neuroscience. 28(24). 6202–6210. 95 indexed citations
19.
Pessoa, Luiz & Srikanth Padmala. (2006). Decoding Near-Threshold Perception of Fear from Distributed Single-Trial Brain Activation. Cerebral Cortex. 17(3). 691–701. 88 indexed citations
20.
Pessoa, Luiz, Srikanth Padmala, & Thomas Morland. (2005). Fate of unattended fearful faces in the amygdala is determined by both attentional resources and cognitive modulation. NeuroImage. 28(1). 249–255. 293 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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