Ignacio Sáez

1.7k total citations
29 papers, 814 citations indexed

About

Ignacio Sáez is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Ignacio Sáez has authored 29 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Ignacio Sáez's work include Neural dynamics and brain function (14 papers), Neural and Behavioral Psychology Studies (10 papers) and Functional Brain Connectivity Studies (8 papers). Ignacio Sáez is often cited by papers focused on Neural dynamics and brain function (14 papers), Neural and Behavioral Psychology Studies (10 papers) and Functional Brain Connectivity Studies (8 papers). Ignacio Sáez collaborates with scholars based in United States, United Kingdom and Canada. Ignacio Sáez's co-authors include P. Read Montague, Terry Lohrenz, Ming Hsu, Kenneth T. Kishida, Paul E. M. Phillips, Lusha Zhu, Michael J. Friedlander, Jack J. Lin, Mark R. Witcher and Thomas L. Ellis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Ignacio Sáez

26 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignacio Sáez United States 14 507 294 96 79 76 29 814
Ken‐ichi Amemori United States 18 572 1.1× 498 1.7× 107 1.1× 74 0.9× 140 1.8× 42 1.1k
Stephen L. Cowen United States 15 508 1.0× 476 1.6× 28 0.3× 58 0.7× 58 0.8× 32 759
Katsuhiko Miyazaki Japan 11 402 0.8× 515 1.8× 129 1.3× 63 0.8× 253 3.3× 15 831
Andrew S. Hart United States 5 297 0.6× 439 1.5× 124 1.3× 103 1.3× 193 2.5× 7 683
Daigo Homma Japan 7 214 0.4× 280 1.0× 57 0.6× 32 0.4× 121 1.6× 9 520
Satoko Amemori United States 12 193 0.4× 252 0.9× 24 0.3× 94 1.2× 41 0.5× 20 459
Stefan G. Sandberg United States 6 385 0.8× 647 2.2× 42 0.4× 226 2.9× 251 3.3× 9 969
Arif Hamid United States 8 613 1.2× 731 2.5× 128 1.3× 38 0.5× 428 5.6× 21 1.3k
Elizabeth A. West United States 17 529 1.0× 328 1.1× 146 1.5× 25 0.3× 126 1.7× 58 1.0k
Jeffrey R. Pettibone United States 9 803 1.6× 982 3.3× 85 0.9× 52 0.7× 420 5.5× 10 1.5k

Countries citing papers authored by Ignacio Sáez

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Sáez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Sáez

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Sáez. A scholar is included among the top collaborators of Ignacio Sáez 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 Ignacio Sáez. Ignacio Sáez 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.
Maher, Christina M., Soyeon Jun, Daniel D. Cummins, et al.. (2025). Intracranial substrates of meditation-induced neuromodulation in the amygdala and hippocampus. Proceedings of the National Academy of Sciences. 122(6). e2409423122–e2409423122.
2.
Moxon, Karen A., Jack J. Lin, Edward F. Chang, et al.. (2025). Distributed Intracranial Activity Underlying Human Decision-making Behavior. Journal of Neuroscience. 45(15). e0572242024–e0572242024. 3 indexed citations
3.
Kong, Zhaodan, et al.. (2025). Neural dynamics encoding risky choices during deliberation reveal separate choice subspaces. Progress in Neurobiology. 250. 102776–102776.
4.
Qasim, Salman E., et al.. (2024). Positive affect modulates memory by regulating the influence of reward prediction errors. SHILAP Revista de lepidopterología. 2(1). 52–52.
5.
Kam, Julia W. Y., et al.. (2024). Intracranial recordings reveal high-frequency activity in the human temporal-parietal cortex supporting non-literal language processing. Frontiers in Neuroscience. 17. 1304031–1304031. 2 indexed citations
6.
Cummins, Daniel D., Christina M. Maher, Richard J. Davidson, et al.. (2024). Influence of mindfulness meditation on intracranial EEG parameters in epileptic and non-epileptic brain areas. Epilepsy & Behavior. 161. 110150–110150. 2 indexed citations
7.
Young, James, Nathalie Jetté, H. Allison Bender, et al.. (2024). Elevated phase amplitude coupling as a depression biomarker in epilepsy. Epilepsy & Behavior. 152. 109659–109659. 7 indexed citations
8.
Johnson, Elizabeth L., Jack J. Lin, David King‐Stephens, et al.. (2023). A rapid theta network mechanism for flexible information encoding. Nature Communications. 14(1). 2872–2872. 6 indexed citations
9.
Sáez, Ignacio & Xiaosi Gu. (2022). Invasive Computational Psychiatry. Biological Psychiatry. 93(8). 661–670. 16 indexed citations
10.
Girgis, Fady, et al.. (2020). Superior accuracy and precision of SEEG electrode insertion with frame-based vs. frameless stereotaxy methods. Acta Neurochirurgica. 162(10). 2527–2532. 13 indexed citations
11.
12.
Gao, Xiaoxue, Hongbo Yu, Ignacio Sáez, et al.. (2018). Distinguishing neural correlates of context-dependent advantageous- and disadvantageous-inequity aversion. Proceedings of the National Academy of Sciences. 115(33). E7680–E7689. 74 indexed citations
13.
Stolk, Arjen, Sandon Griffin, Roemer van der Meij, et al.. (2018). Integrated analysis of anatomical and electrophysiological human intracranial data. Nature Protocols. 13(7). 1699–1723. 118 indexed citations
14.
Moran, Rosalyn, Kenneth T. Kishida, Terry Lohrenz, et al.. (2018). The Protective Action Encoding of Serotonin Transients in the Human Brain. Neuropsychopharmacology. 43(6). 1425–1435. 63 indexed citations
15.
Sáez, Ignacio, Jack J. Lin, Arjen Stolk, et al.. (2018). Encoding of Multiple Reward-Related Computations in Transient and Sustained High-Frequency Activity in Human OFC. Current Biology. 28(18). 2889–2899.e3. 52 indexed citations
16.
Sáez, Ignacio & Michael J. Friedlander. (2016). Role of GABAA-Mediated Inhibition and Functional Assortment of Synapses onto Individual Layer 4 Neurons in Regulating Plasticity Expression in Visual Cortex. PLoS ONE. 11(2). e0147642–e0147642. 3 indexed citations
17.
Kishida, Kenneth T., Ignacio Sáez, Terry Lohrenz, et al.. (2015). Subsecond dopamine fluctuations in human striatum encode superposed error signals about actual and counterfactual reward. Proceedings of the National Academy of Sciences. 113(1). 200–205. 143 indexed citations
18.
Sáez, Ignacio, et al.. (2014). From genes to behavior: placing cognitive models in the context of biological pathways. Frontiers in Neuroscience. 8. 336–336. 9 indexed citations
19.
Sáez, Ignacio & Michael J. Friedlander. (2009). Plasticity between Neuronal Pairs in Layer 4 of Visual Cortex Varies with Synapse State. Journal of Neuroscience. 29(48). 15286–15298. 24 indexed citations
20.

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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