Kelly Shen

2.6k total citations
42 papers, 1.4k citations indexed

About

Kelly Shen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kelly Shen has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kelly Shen's work include Neural dynamics and brain function (20 papers), Functional Brain Connectivity Studies (15 papers) and Memory and Neural Mechanisms (11 papers). Kelly Shen is often cited by papers focused on Neural dynamics and brain function (20 papers), Functional Brain Connectivity Studies (15 papers) and Memory and Neural Mechanisms (11 papers). Kelly Shen collaborates with scholars based in Canada, United States and Germany. Kelly Shen's co-authors include Anthony R. McIntosh, Jennifer D. Ryan, Gleb Bezgin, Stefan Everling, Martin Paré, R. Matthew Hutchison, Zhong‐Xu Liu, Ravi S. Menon, Jordana S. Wynn and Petra Ritter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Kelly Shen

41 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kelly Shen Canada 22 1.2k 351 202 104 104 42 1.4k
Zoltán Vidnyánszky Hungary 20 978 0.8× 135 0.4× 225 1.1× 107 1.0× 238 2.3× 69 1.3k
Galit Fuhrmann Alpert Israel 11 1.5k 1.3× 131 0.4× 326 1.6× 91 0.9× 256 2.5× 14 1.8k
Nikolaos Laskaris Greece 25 1.3k 1.1× 102 0.3× 154 0.8× 176 1.7× 113 1.1× 108 1.8k
Herbert Bauer Austria 26 1.4k 1.2× 174 0.5× 180 0.9× 36 0.3× 343 3.3× 76 2.1k
Giedrius T. Buračas United States 16 1.5k 1.3× 200 0.6× 287 1.4× 139 1.3× 180 1.7× 24 1.7k
KongFatt Wong‐Lin United Kingdom 23 1.6k 1.4× 109 0.3× 427 2.1× 45 0.4× 168 1.6× 89 2.2k
Rui Cao China 19 1.2k 1.0× 184 0.5× 91 0.5× 100 1.0× 208 2.0× 43 1.4k
Dae‐Shik Kim South Korea 19 1.1k 0.9× 238 0.7× 686 3.4× 132 1.3× 66 0.6× 74 1.7k
Stavros I. Dimitriadis United Kingdom 26 1.5k 1.3× 255 0.7× 73 0.4× 23 0.2× 202 1.9× 72 1.8k
Okito Yamashita Japan 18 1.2k 1.0× 384 1.1× 126 0.6× 126 1.2× 87 0.8× 63 1.6k

Countries citing papers authored by Kelly Shen

Since Specialization
Citations

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

Fields of papers citing papers by Kelly Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelly Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Kelly Shen. A scholar is included among the top collaborators of Kelly Shen 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 Kelly Shen. Kelly Shen 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.
2.
Wynn, Jordana S., et al.. (2025). Decoding memory function through naturalistic gaze patterns. Proceedings of the National Academy of Sciences. 122(33). e2505879122–e2505879122. 1 indexed citations
3.
Shen, Kelly, E. Scott Huebner, & Lili Tian. (2024). Childhood maltreatment profiles and their associations with trajectories of internalizing and externalizing symptoms in Chinese early adolescents. Child Abuse & Neglect. 158. 107141–107141. 1 indexed citations
4.
Shen, Kelly, et al.. (2022). Exploration of salient risk factors involved in mild cognitive impairment. European Journal of Neuroscience. 56(9). 5368–5383. 1 indexed citations
5.
Wang, Justin, et al.. (2022). A Robust Modular Automated Neuroimaging Pipeline for Model Inputs to TheVirtualBrain. Frontiers in Neuroinformatics. 16. 883223–883223. 5 indexed citations
6.
Schirner, Michael, Kelly Shen, Petra Ritter, et al.. (2022). Personalized Connectome-Based Modeling in Patients with Semi-Acute Phase TBI: Relationship to Acute Neuroimaging and 6 Month Follow-Up. eNeuro. 9(1). ENEURO.0075–21.2022. 8 indexed citations
7.
Jirsa, Viktor, Spase Petkoski, Huifang Wang, et al.. (2022). Integrating psychosocial variables and societal diversity in epidemic models for predicting COVID-19 transmission dynamics. SHILAP Revista de lepidopterología. 1(8). e0000098–e0000098. 2 indexed citations
8.
Shen, Kelly, et al.. (2021). Changes in Viewing Behaviour in Healthy Aging and Amnestic Mild Cognitive Impairment. Journal of Vision. 21(9). 2098–2098. 1 indexed citations
9.
Shen, Kelly, et al.. (2021). Signal complexity indicators of health status in clinical EEG. Scientific Reports. 11(1). 20192–20192. 13 indexed citations
10.
Ryan, Jennifer D., et al.. (2020). Modeling the influence of the hippocampal memory system on the oculomotor system. Network Neuroscience. 4(1). 217–233. 11 indexed citations
11.
Ryan, Jennifer D. & Kelly Shen. (2020). The eyes are a window into memory. Current Opinion in Behavioral Sciences. 32. 1–6. 40 indexed citations
12.
Brown, Tanya M., Petra Ritter, Zheng Wang, et al.. (2019). Complexity Matching: Brain Signals Mirror Environment Information Patterns during Music Listening and Reward. Journal of Cognitive Neuroscience. 32(4). 734–745. 21 indexed citations
13.
Wynn, Jordana S., Kelly Shen, & Jennifer D. Ryan. (2019). Eye Movements Actively Reinstate Spatiotemporal Mnemonic Content. Vision. 3(2). 21–21. 78 indexed citations
14.
Schmidt, Maximilian, Rembrandt Bakker, Kelly Shen, et al.. (2018). A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS Computational Biology. 14(10). e1006359–e1006359. 73 indexed citations
15.
Trott, Sean, et al.. (2017). Semantically-Driven Coreference Resolution with Embodied Construction Grammar.. National Conference on Artificial Intelligence. 1 indexed citations
16.
Grayson, David S., Eliza Bliss‐Moreau, Christopher J. Machado, et al.. (2016). The Rhesus Monkey Connectome Predicts Disrupted Functional Networks Resulting from Pharmacogenetic Inactivation of the Amygdala. Neuron. 91(2). 453–466. 116 indexed citations
17.
Shen, Kelly, R. Matthew Hutchison, Gleb Bezgin, Stefan Everling, & Anthony R. McIntosh. (2015). Network Structure Shapes Spontaneous Functional Connectivity Dynamics. Journal of Neuroscience. 35(14). 5579–5588. 133 indexed citations
18.
Shen, Kelly, Bratislav Mišić, Gleb Bezgin, et al.. (2015). Stable long-range interhemispheric coordination is supported by direct anatomical projections. Proceedings of the National Academy of Sciences. 112(20). 6473–6478. 94 indexed citations
19.
Shen, Kelly & Martin Paré. (2014). Predictive Saccade Target Selection in Superior Colliculus during Visual Search. Journal of Neuroscience. 34(16). 5640–5648. 26 indexed citations
20.
Deco, Gustavo, Anthony R. McIntosh, Kelly Shen, et al.. (2014). Identification of Optimal Structural Connectivity Using Functional Connectivity and Neural Modeling. Journal of Neuroscience. 34(23). 7910–7916. 115 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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