Juan Bulacio

5.4k total citations · 1 hit paper
89 papers, 3.9k citations indexed

About

Juan Bulacio is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Juan Bulacio has authored 89 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Psychiatry and Mental health, 52 papers in Cognitive Neuroscience and 46 papers in Cellular and Molecular Neuroscience. Recurrent topics in Juan Bulacio's work include Epilepsy research and treatment (63 papers), EEG and Brain-Computer Interfaces (38 papers) and Neuroscience and Neuropharmacology Research (32 papers). Juan Bulacio is often cited by papers focused on Epilepsy research and treatment (63 papers), EEG and Brain-Computer Interfaces (38 papers) and Neuroscience and Neuropharmacology Research (32 papers). Juan Bulacio collaborates with scholars based in United States, Japan and China. Juan Bulacio's co-authors include Imad Najm, Jorge González-Martínez, William Bingaman, Prakash Kotagal, Elaine Wyllie, Dileep Nair, Patrick Chauvel, Paul Ruggieri, Jeffrey P. Mullin and John C. Mosher and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and NeuroImage.

In The Last Decade

Juan Bulacio

84 papers receiving 3.8k citations

Hit Papers

Is SEEG safe? A systematic review and meta‐analysis of st... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Bulacio United States 32 2.8k 1.9k 1.6k 1.1k 721 89 3.9k
Francesco Cardinale Italy 40 2.8k 1.0× 2.2k 1.1× 1.6k 1.0× 909 0.8× 913 1.3× 112 4.4k
Stefano Francione Italy 40 2.8k 1.0× 2.0k 1.0× 1.6k 1.0× 1.1k 0.9× 751 1.0× 97 4.0k
Ayako Ochi Canada 33 2.4k 0.9× 1.5k 0.8× 1.1k 0.7× 1.2k 1.1× 353 0.5× 123 3.3k
Massimo Cossu Italy 40 2.7k 1.0× 1.6k 0.8× 1.7k 1.0× 1.0k 0.9× 1.1k 1.6× 118 4.3k
Roberto Mai Italy 40 2.4k 0.8× 1.8k 0.9× 1.3k 0.8× 842 0.8× 716 1.0× 83 3.8k
Dileep Nair United States 36 2.0k 0.7× 2.5k 1.3× 1.6k 1.0× 779 0.7× 603 0.8× 94 4.3k
Laura Castana Italy 28 1.9k 0.7× 1.2k 0.6× 1.1k 0.7× 622 0.6× 708 1.0× 53 2.7k
Alois Ebner Germany 41 3.2k 1.1× 2.0k 1.0× 1.7k 1.1× 1.5k 1.3× 752 1.0× 131 4.9k
Prasanna Jayakar United States 35 2.9k 1.0× 1.3k 0.7× 1.0k 0.6× 1.9k 1.7× 408 0.6× 99 4.1k
Francesco T. Mangano United States 29 1.1k 0.4× 892 0.5× 1.1k 0.7× 936 0.8× 488 0.7× 155 2.9k

Countries citing papers authored by Juan Bulacio

Since Specialization
Citations

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

Fields of papers citing papers by Juan Bulacio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Bulacio

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Bulacio. A scholar is included among the top collaborators of Juan Bulacio 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 Juan Bulacio. Juan Bulacio 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.
Chisholm, Jane, Balu Krishnan, Jean Khoury, et al.. (2025). Anterior Versus Posterior Insular Epilepsy: Correlations with Semiology Based on Stereoelectroencephalography. Annals of Neurology. 98(5). 1111–1124.
2.
Freund, Brin, et al.. (2024). Pupillary constriction on stimulation of the parietal cortex—A novel finding. Epileptic Disorders. 26(5). 701–707.
3.
Li, Jian, et al.. (2024). Is High‐Frequency Activity at Seizure Onset Inhibitory? A Stereoelectroencephalographic Study of Motor Cortex Seizures. Annals of Neurology. 95(6). 1127–1137. 4 indexed citations
4.
Aung, Thandar, Bo Jin, William Bingaman, et al.. (2024). Seizure outcome in drug-resistant epilepsy in the setting of polymicrogyria. Seizure. 121. 226–234. 1 indexed citations
5.
Alexopoulos, Andreas, et al.. (2024). Temporal lobe encephaloceles: Electro-clinical characteristics and seizure outcome after tailored lesionectomy. Epilepsy & Behavior. 160. 110066–110066.
6.
Bulacio, Juan, et al.. (2022). Does Stereoelectroencephalography Add Value in Patients with Lesional Epilepsy?. World Neurosurgery. 167. e196–e203. 1 indexed citations
7.
Li, Adam, Zachary Fitzgerald, Iahn Cajigas, et al.. (2021). Neural fragility as an EEG marker of the seizure onset zone. Nature Neuroscience. 24(10). 1465–1474. 88 indexed citations
8.
Hırfanoğlu, Tuğba, William Bingaman, Katsuya Kobayashi, et al.. (2021). Effective connectivity differs between focal cortical dysplasia types I and II. Epilepsia. 62(11). 2753–2765. 13 indexed citations
9.
Krishnan, Balu, Simon Tousseyn, Chetan S. Nayak, et al.. (2021). Neurovascular networks in epilepsy: Correlating ictal blood perfusion with intracranial electrophysiology. NeuroImage. 231. 117838–117838. 12 indexed citations
10.
Jin, Liri, Joon Yul Choi, Juan Bulacio, et al.. (2021). Multimodal Image Integration for Epilepsy Presurgical Evaluation: A Clinical Workflow. Frontiers in Neurology. 12. 709400–709400. 15 indexed citations
11.
Punia, Vineet, et al.. (2018). Extra operative intracranial EEG monitoring for epilepsy surgery in elderly patients. Epilepsy & Behavior Case Reports. 10. 92–95. 7 indexed citations
12.
Kerr, Matthew S. D., Kevin C. Kahn, Matthew A. Johnson, et al.. (2017). The influences and neural correlates of past and present during gambling in humans. Scientific Reports. 7(1). 17111–17111. 8 indexed citations
13.
14.
Thompson, Stephen A., Balu Krishnan, Jorge González-Martínez, et al.. (2015). Interictal Infraslow Activity in Stereoelectroencephalography. Journal of Clinical Neurophysiology. 33(2). 141–148. 8 indexed citations
15.
Thompson, Stephen A., Balu Krishnan, Jorge González-Martínez, et al.. (2015). Ictal infraslow activity in stereoelectroencephalography: Beyond the “DC shift”. Clinical Neurophysiology. 127(1). 117–128. 26 indexed citations
16.
Johnson, Matthew A., Susan E. Thompson, Jorge González-Martínez, et al.. (2014). Performing Behavioral Tasks in Subjects with Intracranial Electrodes. Journal of Visualized Experiments. e51947–e51947. 19 indexed citations
17.
Serletis, Demitre, Juan Bulacio, Andreas V. Alexopoulos, et al.. (2014). Tailored Unilobar and Multilobar Resections for Orbitofrontal-Plus Epilepsy. Neurosurgery. 75(4). 388–397. 12 indexed citations
18.
Jehi, Lara, et al.. (2013). Surgical Outcomes in Patients With Extratemporal Epilepsy and Subtle or Normal Magnetic Resonance Imaging Findings. Neurosurgery. 73(1). 68–77. 31 indexed citations
19.
Enatsu, Rei, Riki Matsumoto, Zhe Piao, et al.. (2012). Cortical negative motor network in comparison with sensorimotor network: A cortico-cortical evoked potential study. Cortex. 49(8). 2080–2096. 49 indexed citations
20.
Wang, Shuang, Juan Bulacio, John C. Mosher, et al.. (2012). Ripple classification helps to localize the seizure‐onset zone in neocortical epilepsy. Epilepsia. 54(2). 370–376. 177 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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