Pierre-François D’Haese

1.9k total citations · 1 hit paper
35 papers, 1.1k citations indexed

About

Pierre-François D’Haese is a scholar working on Neurology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pierre-François D’Haese has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 14 papers in Cognitive Neuroscience and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pierre-François D’Haese's work include Neurological disorders and treatments (14 papers), EEG and Brain-Computer Interfaces (8 papers) and Advanced MRI Techniques and Applications (6 papers). Pierre-François D’Haese is often cited by papers focused on Neurological disorders and treatments (14 papers), EEG and Brain-Computer Interfaces (8 papers) and Advanced MRI Techniques and Applications (6 papers). Pierre-François D’Haese collaborates with scholars based in United States, Belgium and Israel. Pierre-François D’Haese's co-authors include Peter E. Konrad, Benoît M. Dawant, Marc W. Haut, Rashi I. Mehta, Ali R. Rezai, Jeffrey Carpenter, Umer Najib, Sally Hodder, Srivatsan Pallavaram and Manish Ranjan and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Pierre-François D’Haese

34 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ultrasound Blood–Brain Barrier Opening and Aducanumab in Alzheimer’s Disease

2024 150 citations Ali R. Rezai, Pierre-François D’Haese et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pierre-François D’Haese United States	17	388	341	264	260	245	35	1.1k
Liang Chen China	23	546 1.4×	156 0.5×	318 1.2×	293 1.1×	73 0.3×	116	1.6k
Nicholas Brandmeir United States	13	691 1.8×	162 0.5×	165 0.6×	276 1.1×	80 0.3×	47	1.6k
Domenico Aquino Italy	19	308 0.8×	120 0.4×	173 0.7×	731 2.8×	171 0.7×	63	1.7k
Tejas Sankar Canada	21	707 1.8×	342 1.0×	427 1.6×	463 1.8×	118 0.5×	65	1.5k
Arnaud Le Troter France	25	129 0.3×	193 0.6×	134 0.5×	556 2.1×	77 0.3×	61	1.3k
Frank Hertel Luxembourg	17	578 1.5×	59 0.2×	306 1.2×	142 0.5×	110 0.4×	58	1.1k
Rafael Rodríguez‐Rojas Spain	22	811 2.1×	366 1.1×	404 1.5×	344 1.3×	91 0.4×	70	1.5k
Xinguang Yu China	22	244 0.6×	121 0.4×	103 0.4×	180 0.7×	74 0.3×	96	1.5k
Emanuele Pravatà Switzerland	17	229 0.6×	77 0.2×	114 0.4×	232 0.9×	126 0.5×	52	989
Rebecca S. Samson United Kingdom	25	222 0.6×	147 0.4×	195 0.7×	731 2.8×	245 1.0×	60	1.6k

Countries citing papers authored by Pierre-François D’Haese

Since Specialization

Citations

This map shows the geographic impact of Pierre-François D’Haese'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 Pierre-François D’Haese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre-François D’Haese more than expected).

Fields of papers citing papers by Pierre-François D’Haese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre-François D’Haese. 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 Pierre-François D’Haese. The network helps show where Pierre-François D’Haese may publish in the future.

Co-authorship network of co-authors of Pierre-François D’Haese

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre-François D’Haese. A scholar is included among the top collaborators of Pierre-François D’Haese 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 Pierre-François D’Haese. Pierre-François D’Haese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Haut, Marc W., Pierre-François D’Haese, Rashi I. Mehta, et al.. (2024). More Similar than Different: Memory, Executive Functions, Cortical Thickness, and Glucose Metabolism in Biomarker-Positive Alzheimer’s Disease and Behavioral Variant Frontotemporal Dementia. Journal of Alzheimer s Disease Reports. 8(1). 57–73. 3 indexed citations

Rezai, Ali R., Pierre-François D’Haese, Jeffrey Carpenter, et al.. (2024). Ultrasound Blood–Brain Barrier Opening and Aducanumab in Alzheimer’s Disease. New England Journal of Medicine. 390(1). 55–62. 150 indexed citations breakdown →

Rezai, Ali R., James J. Mahoney, Manish Ranjan, et al.. (2023). Safety and feasibility clinical trial of nucleus accumbens deep brain stimulation for treatment-refractory opioid use disorder. Journal of neurosurgery. 140(1). 231–239. 18 indexed citations

Mehta, Rashi I., Jeffrey Carpenter, Rupal I. Mehta, et al.. (2023). Ultrasound-mediated blood–brain barrier opening uncovers an intracerebral perivenous fluid network in persons with Alzheimer’s disease. Fluids and Barriers of the CNS. 20(1). 46–46. 46 indexed citations

Paulo, Danika, Graham W. Johnson, Hernán F. J. González, et al.. (2023). Intraoperative physiology augments atlas-based data in awake deep brain stimulation. Journal of Neurology Neurosurgery & Psychiatry. 95(1). 86–96. 2 indexed citations

Rezai, Ali R., Manish Ranjan, Pierre-François D’Haese, et al.. (2020). Noninvasive hippocampal blood−brain barrier opening in Alzheimer’s disease with focused ultrasound. Proceedings of the National Academy of Sciences. 117(17). 9180–9182. 240 indexed citations

Jermakowicz, Walter J., Chengyuan Wu, Elliot G. Neal, et al.. (2019). Clinically Significant Visual Deficits after Laser Interstitial Thermal Therapy for Mesiotemporal Epilepsy. Stereotactic and Functional Neurosurgery. 97(5-6). 347–355. 10 indexed citations

Schneider, Ruth B., Joohi Jimenez‐Shahed, Danielle S. Abraham, et al.. (2019). Acute readmission following deep brain stimulation surgery for Parkinson's disease: A nationwide analysis. Parkinsonism & Related Disorders. 70. 96–102. 8 indexed citations

Jermakowicz, Walter J., Iahn Cajigas, Samir Sur, et al.. (2018). Ablation dynamics during laser interstitial thermal therapy for mesiotemporal epilepsy. PLoS ONE. 13(7). e0199190–e0199190. 20 indexed citations

10.

Englot, Dario J., Pierre-François D’Haese, Peter E. Konrad, et al.. (2017). Functional connectivity disturbances of the ascending reticular activating system in temporal lobe epilepsy. Journal of Neurology Neurosurgery & Psychiatry. 88(11). 925–932. 62 indexed citations

11.

Jermakowicz, Walter J., Michael E. Ivan, Iahn Cajigas, et al.. (2017). Visual Deficit From Laser Interstitial Thermal Therapy for Temporal Lobe Epilepsy: Anatomical Considerations. Operative Neurosurgery. 13(5). 627–633. 25 indexed citations

12.

Liu, Yuan, Pierre-François D’Haese, & Benoît M. Dawant. (2014). Effects of deformable registration algorithms on the creation of statistical maps for preoperative targeting in deep brain stimulation procedures. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9036. 90362B–90362B. 3 indexed citations

13.

D’Haese, Pierre-François, Srivatsan Pallavaram, Chima Oluigbo, et al.. (2014). Successful subthalamic nucleus deep brain stimulation therapy after significant lead displacement from a subdural hematoma. Journal of Clinical Neuroscience. 22(2). 387–390. 2 indexed citations

14.

Pallavaram, Srivatsan, Fenna T. Phibbs, Christopher Tolleson, et al.. (2013). Neurologist Consistency in Interpreting Information Provided by an Interactive Visualization Software for Deep Brain Stimulation Postoperative Programming Assistance. Neuromodulation Technology at the Neural Interface. 17(1). 11–15. 6 indexed citations

15.

Sun, Kay, Srivatsan Pallavaram, William J. Rodriguez, et al.. (2012). Optimizing the delivery of deep brain stimulation using electrophysiological atlases and an inverse modeling approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8316. 83162Z–83162Z. 1 indexed citations

16.

Pallavaram, Srivatsan, Pierre-François D’Haese, Michael S. Remple, et al.. (2009). Detecting brain shift during deep brain stimulation surgery using intra-operative data and functional atlases: A preliminary study. 24. 362–365. 2 indexed citations

17.

Pallavaram, Srivatsan, Benoît M. Dawant, Michael S. Remple, et al.. (2009). Effect of brain shift on the creation of functional atlases for deep brain stimulation surgery. International Journal of Computer Assisted Radiology and Surgery. 5(3). 221–228. 55 indexed citations

18.

Pallavaram, Srivatsan, Hong Yu, Pierre-François D’Haese, et al.. (2008). Intersurgeon Variability in the Selection of Anterior and Posterior Commissures and Its Potential Effects on Target Localization. Stereotactic and Functional Neurosurgery. 86(2). 113–119. 30 indexed citations

19.

Pallavaram, Srivatsan, Pierre-François D’Haese, Chris Kao, et al.. (2008). A New Method for Creating Electrophysiological Maps for DBS Surgery and Their Application to Surgical Guidance. Lecture notes in computer science. 11(Pt 1). 670–677. 16 indexed citations

20.

Duay, Valérie, Tuhin Sinha, Pierre-François D’Haese, Michael I. Miga, & Benoît M. Dawant. (2003). Non-rigid Registration of Serial Intra-operative Images for Automatic Brain Shift Estimation. Lecture notes in computer science. 2717. 61–70. 5 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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