Neda Bernasconi

2.8k total citations
24 papers, 1.1k citations indexed

About

Neda Bernasconi is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Neda Bernasconi has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Psychiatry and Mental health and 10 papers in Cognitive Neuroscience. Recurrent topics in Neda Bernasconi's work include Epilepsy research and treatment (15 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Advanced MRI Techniques and Applications (9 papers). Neda Bernasconi is often cited by papers focused on Epilepsy research and treatment (15 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Advanced MRI Techniques and Applications (9 papers). Neda Bernasconi collaborates with scholars based in Canada, United Kingdom and United States. Neda Bernasconi's co-authors include Andrea Bernasconi, Seok‐Jun Hong, Boris C. Bernhardt, Frédérick Andermann, Jun Natsume, Benoît Caldairou, G. Bruce Pike, Samson Antel, André Olivier and David M. Cole and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Neda Bernasconi

24 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neda Bernasconi Canada 17 687 582 495 338 259 24 1.1k
Erhan Bilir Türkiye 19 781 1.1× 410 0.7× 247 0.5× 413 1.2× 301 1.2× 52 1.1k
Balu Krishnan United States 16 546 0.8× 414 0.7× 271 0.5× 256 0.8× 214 0.8× 45 897
Philippa A. Bartlett United Kingdom 20 958 1.4× 344 0.6× 733 1.5× 506 1.5× 445 1.7× 27 1.5k
Jane de Tisi United Kingdom 19 1.1k 1.6× 747 1.3× 369 0.7× 549 1.6× 502 1.9× 61 1.6k
Wenhan Hu China 20 828 1.2× 412 0.7× 242 0.5× 386 1.1× 360 1.4× 101 1.3k
Dewi Schrader Canada 11 369 0.5× 302 0.5× 293 0.6× 143 0.4× 201 0.8× 18 736
Rebecca S. N. Liu United Kingdom 10 482 0.7× 194 0.3× 211 0.4× 298 0.9× 254 1.0× 10 773
Susan S. Spencer United States 19 1.0k 1.5× 747 1.3× 260 0.5× 614 1.8× 384 1.5× 24 1.5k
Jan Wagner Germany 21 780 1.1× 286 0.5× 270 0.5× 413 1.2× 423 1.6× 39 1.3k
Chong Wong Australia 16 716 1.0× 341 0.6× 180 0.4× 401 1.2× 359 1.4× 41 986

Countries citing papers authored by Neda Bernasconi

Since Specialization
Citations

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

Fields of papers citing papers by Neda Bernasconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neda Bernasconi

This figure shows the co-authorship network connecting the top 25 collaborators of Neda Bernasconi. A scholar is included among the top collaborators of Neda Bernasconi 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 Neda Bernasconi. Neda Bernasconi 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.
Fadaie, Fatemeh, Ravnoor Gill, Benoît Caldairou, et al.. (2024). MRI-Derived Modeling of Disease Progression Patterns in Patients With Temporal Lobe Epilepsy. Neurology. 103(3). e209524–e209524. 3 indexed citations
2.
Li, Qiongling, Shahin Tavakol, Jessica Royer, et al.. (2021). Atypical neural topographies underpin dysfunctional pattern separation in temporal lobe epilepsy. Brain. 144(8). 2486–2498. 20 indexed citations
3.
Fadaie, Fatemeh, Ravnoor Gill, Benoît Caldairou, et al.. (2021). Decomposing MRI phenotypic heterogeneity in epilepsy: a step towards personalized classification. Brain. 145(3). 897–908. 32 indexed citations
4.
Caldairou, Benoît, Carlotta Mutti, Fatemeh Fadaie, et al.. (2021). MRI-Based Machine Learning Prediction Framework to Lateralize Hippocampal Sclerosis in Patients With Temporal Lobe Epilepsy. Neurology. 97(16). e1583–e1593. 18 indexed citations
5.
Deleo, Francesco, et al.. (2020). Whole-brain multimodal MRI phenotyping of periventricular nodular heterotopia. Neurology. 95(17). e2418–e2426. 11 indexed citations
6.
Wandschneider, Britta, Seok‐Jun Hong, Boris C. Bernhardt, et al.. (2019). Developmental MRI markers cosegregate juvenile patients with myoclonic epilepsy and their healthy siblings. Neurology. 93(13). e1272–e1280. 36 indexed citations
7.
Hong, Seok‐Jun, Hyomin Lee, Ravnoor Gill, et al.. (2019). A connectome-based mechanistic model of focal cortical dysplasia. Brain. 142(3). 688–699. 35 indexed citations
8.
Larivière, Sara, Reinder Vos de Wael, Casey Paquola, et al.. (2018). Microstructure-Informed Connectomics: Enriching Large-Scale Descriptions of Healthy and Diseased Brains. Brain Connectivity. 9(2). 113–127. 36 indexed citations
9.
Hong, Seok‐Jun, Boris C. Bernhardt, Benoît Caldairou, et al.. (2017). Multimodal MRI profiling of focal cortical dysplasia type II. Neurology. 88(8). 734–742. 70 indexed citations
10.
Liu, Min, Boris C. Bernhardt, Seok‐Jun Hong, et al.. (2016). The superficial white matter in temporal lobe epilepsy: a key link between structural and functional network disruptions. Brain. 139(9). 2431–2440. 78 indexed citations
11.
So, Elson L., Elson L. So, Elson L. So, et al.. (2015). MRI-Negative Epilepsy. Cambridge University Press eBooks. 11 indexed citations
12.
Liu, Min, Boris C. Bernhardt, Andrea Bernasconi, & Neda Bernasconi. (2015). Gray matter structural compromise is equally distributed in left and right temporal lobe epilepsy. Human Brain Mapping. 37(2). 515–524. 26 indexed citations
13.
Caciagli, Lorenzo, Boris C. Bernhardt, Seok‐Jun Hong, Andrea Bernasconi, & Neda Bernasconi. (2014). Functional network alterations and their structural substrate in drug-resistant epilepsy. Frontiers in Neuroscience. 8. 411–411. 54 indexed citations
14.
Bernasconi, Neda & Andrea Bernasconi. (2014). Imaging the epileptic brain—time for new standards. Nature Reviews Neurology. 10(3). 133–134. 8 indexed citations
15.
Voets, Natalie, Christian F. Beckmann, David M. Cole, et al.. (2012). Structural substrates for resting network disruption in temporal lobe epilepsy. Brain. 135(8). 2350–2357. 120 indexed citations
16.
Colliot, Olivier, et al.. (2006). In Vivo Profiling of Focal Cortical Dysplasia on High‐resolution MRI with Computational Models. Epilepsia. 47(1). 134–142. 39 indexed citations
17.
Bernasconi, Neda, et al.. (2004). Quantitative analysis of temporal lobe white matter T2 relaxation time in temporal lobe epilepsy. NeuroImage. 23(1). 318–324. 50 indexed citations
18.
Natsume, Jun, Neda Bernasconi, Frédérick Andermann, & Andrea Bernasconi. (2003). MRI volumetry of the thalamus in temporal, extratemporal, and idiopathic generalized epilepsy. Neurology. 60(8). 1296–1300. 158 indexed citations
19.
Abosch, Aviva, Neda Bernasconi, Warren Boling, et al.. (2002). Factors predictive of suboptimal seizure control following selective amygdalohippocampectomy. Journal of neurosurgery. 97(5). 1142–1151. 56 indexed citations
20.
Bernasconi, Andrea, Neda Bernasconi, Zografos Caramanos, et al.. (2001). T2 Relaxometry Can Lateralize Mesial Temporal Lobe Epilepsy in Patients with Normal MRI. NeuroImage. 13(2). 399–399. 3 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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