James M. Shine

16.8k total citations · 3 hit papers
223 papers, 9.0k citations indexed

About

James M. Shine is a scholar working on Cognitive Neuroscience, Neurology and Plant Science. According to data from OpenAlex, James M. Shine has authored 223 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Cognitive Neuroscience, 63 papers in Neurology and 45 papers in Plant Science. Recurrent topics in James M. Shine's work include Functional Brain Connectivity Studies (84 papers), Neural dynamics and brain function (73 papers) and Parkinson's Disease Mechanisms and Treatments (55 papers). James M. Shine is often cited by papers focused on Functional Brain Connectivity Studies (84 papers), Neural dynamics and brain function (73 papers) and Parkinson's Disease Mechanisms and Treatments (55 papers). James M. Shine collaborates with scholars based in Australia, United States and United Kingdom. James M. Shine's co-authors include Simon J.G. Lewis, Sharon L. Naismith, Russell A. Poldrack, Claire O’Callaghan, Peter T. Bell, Moran Gilat, Elie Matar, Oluwasanmi Koyejo, Glenda M. Halliday and Kaylena A. Ehgoetz Martens and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

James M. Shine

219 papers receiving 8.9k citations

Hit Papers

The Dynamics of Functional Brain Networks: Integrated Net... 2016 2026 2019 2022 2016 2019 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James M. Shine Australia 57 4.8k 3.1k 1.3k 1.2k 1.1k 223 9.0k
Simon J.G. Lewis Australia 68 5.0k 1.0× 7.5k 2.5× 2.1k 1.6× 980 0.8× 2.6k 2.3× 330 13.8k
Rachael D. Seidler United States 57 5.9k 1.2× 1.1k 0.3× 1.1k 0.9× 1.3k 1.1× 1.2k 1.1× 197 10.1k
Marco Molinari Italy 63 5.1k 1.1× 1.2k 0.4× 453 0.3× 695 0.6× 1.4k 1.3× 243 12.9k
Fabrizio Esposito Italy 54 6.8k 1.4× 1.9k 0.6× 108 0.1× 2.1k 1.7× 1.8k 1.6× 258 11.9k
L. Deecke Austria 51 4.6k 1.0× 1.2k 0.4× 123 0.1× 698 0.6× 1.1k 0.9× 206 8.2k
Henk W. Berendse Netherlands 58 6.0k 1.3× 5.9k 1.9× 237 0.2× 1.0k 0.9× 1.1k 1.0× 203 13.6k
María Rodríguez‐Oroz Spain 54 3.1k 0.6× 10.8k 3.5× 346 0.3× 715 0.6× 1.5k 1.4× 147 13.8k
Evžen Růžička Czechia 44 1.2k 0.3× 3.6k 1.2× 511 0.4× 213 0.2× 1.0k 0.9× 277 6.6k
Giacomo Koch Italy 67 7.2k 1.5× 2.9k 1.0× 157 0.1× 1.3k 1.1× 1.6k 1.4× 348 14.5k
Sebastiaan Overeem Netherlands 54 6.0k 1.2× 2.4k 0.8× 751 0.6× 204 0.2× 1.1k 1.0× 272 10.5k

Countries citing papers authored by James M. Shine

Since Specialization
Citations

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

Fields of papers citing papers by James M. Shine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Shine. 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 James M. Shine. The network helps show where James M. Shine may publish in the future.

Co-authorship network of co-authors of James M. Shine

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Shine. A scholar is included among the top collaborators of James M. Shine 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 James M. Shine. James M. Shine 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.
Müller, Eli J., Brandon Munn, & James M. Shine. (2025). The brain that controls itself. Current Opinion in Behavioral Sciences. 63. 101499–101499. 1 indexed citations
2.
Medel, Vicente, et al.. (2025). Dopamine alters functional gradients in Parkinson’s disease. Imaging Neuroscience. 3.
3.
Delgado, Carolina, James M. Shine, David Huepe, et al.. (2025). Cardiometabolic state links neurovascular burden with brain structure and function: Evidence from EEG and MRI. NeuroImage. 316. 121308–121308.
4.
Grimm, Christina, Sian N. Duss, Mattia Privitera, et al.. (2024). Tonic and burst-like locus coeruleus stimulation distinctly shift network activity across the cortical hierarchy. Nature Neuroscience. 27(11). 2167–2177. 31 indexed citations
5.
Müller, Eli J., Daniel S. Margulies, Jennifer Y. Y. Szeto, et al.. (2023). Abnormal higher-order network interactions in Parkinson’s disease visual hallucinations. Brain. 147(2). 458–471. 13 indexed citations
6.
Munn, Brandon, Eli J. Müller, Vicente Medel, et al.. (2023). Neuronal connected burst cascades bridge macroscale adaptive signatures across arousal states. Nature Communications. 14(1). 6846–6846. 13 indexed citations
7.
Georgiades, Matthew, James M. Shine, Moran Gilat, et al.. (2023). Subthalamic Nucleus Activity during Cognitive Load and Gait Dysfunction in Parkinson's Disease. Movement Disorders. 38(8). 1549–1554. 5 indexed citations
8.
Loeffler, Alon, Adrian Diaz‐Alvarez, Ruomin Zhu, et al.. (2023). Neuromorphic learning, working memory, and metaplasticity in nanowire networks. Science Advances. 9(16). eadg3289–eadg3289. 50 indexed citations
9.
Gordon, Christopher J., Camilla M. Hoyos, Rick Wassing, et al.. (2023). Heart rate variability during slow wave sleep is linked to functional connectivity in the central autonomic network. Brain Communications. 5(3). fcad129–fcad129. 10 indexed citations
10.
Hwang, Kai, et al.. (2022). Thalamocortical contributions to cognitive task activity. eLife. 11. 22 indexed citations
11.
Engel, Tatiana A., Christopher Langdon, Grace W. Lindsay, et al.. (2022). Recent Advances at the Interface of Neuroscience and Artificial Neural Networks. Journal of Neuroscience. 42(45). 8514–8523. 12 indexed citations
12.
Medel, Vicente, Nicolás Crossley, Eli J. Müller, et al.. (2022). Whole-brain neuronal MCT2 lactate transporter expression links metabolism to human brain structure and function. Proceedings of the National Academy of Sciences. 119(33). e2204619119–e2204619119. 30 indexed citations
13.
Wainstein, Gabriel, Daniel Rojas‐Líbano, Vicente Medel, et al.. (2021). The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task. Network Neuroscience. 5(4). 890–910. 21 indexed citations
14.
O’Callaghan, Claire, James M. Shine, John R. Hodges, Jessica R. Andrews‐Hanna, & Muireann Irish. (2019). Hippocampal atrophy and intrinsic brain network dysfunction relate to alterations in mind wandering in neurodegeneration. Proceedings of the National Academy of Sciences. 116(8). 3316–3321. 66 indexed citations
15.
Hall, Julie M., Claire O’Callaghan, Alana J. Muller, et al.. (2019). Changes in structural network topology correlate with severity of hallucinatory behavior in Parkinson’s disease. Network Neuroscience. 3(2). 521–538. 20 indexed citations
16.
Shine, James M., Michael Breakspear, Peter T. Bell, et al.. (2019). Human cognition involves the dynamic integration of neural activity and neuromodulatory systems. Nature Neuroscience. 22(2). 289–296. 296 indexed citations breakdown →
17.
Shine, James M., Ruud L. van den Brink, Dennis Hernaus, Sander Nieuwenhuis, & Russell A. Poldrack. (2018). Catecholaminergic manipulation alters dynamic network topology across cognitive states. Network Neuroscience. 2(3). 381–396. 57 indexed citations
18.
Mowszowski, Loren, James M. Shine, Moran Gilat, et al.. (2016). A double-blind randomized controlled trial of cognitive training for freezing of gait in Parkinson's disease. Movement Disorders. 31. 1 indexed citations
19.
Jones, Matthew R., Cheryl Porter, James W. Jones, et al.. (2007). Incorporating the Canegro sugarcane model into the DSSAT V4 crop modelling system.. 438–443. 1 indexed citations
20.
Comstock, Jack C., James M. Shine, P. Y. P. Tai, & J. D. Miller. (2001). Breeding for ratoon stunting disease resistance: is it both possible and effective?. 471–476. 10 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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