Fabíola Macruz

565 total citations
11 papers, 294 citations indexed

About

Fabíola Macruz is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Neurology. According to data from OpenAlex, Fabíola Macruz has authored 11 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Epidemiology and 3 papers in Neurology. Recurrent topics in Fabíola Macruz's work include Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Traumatic Brain Injury Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Fabíola Macruz is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Traumatic Brain Injury Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Fabíola Macruz collaborates with scholars based in United States, Brazil and Italy. Fabíola Macruz's co-authors include Enhao Gong, Elizabeth C. Mormino, Shyam Srinivas, Kathleen L. Poston, Sharon J. Sha, Kevin T. Chen, Michael D. Greicius, John M. Pauly, Junshen Xu and Athanasia Boumis and has published in prestigious journals such as Scientific Reports, Radiology and Physics in Medicine and Biology.

In The Last Decade

Fabíola Macruz

10 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabíola Macruz United States 8 211 84 43 37 36 11 294
Danielle F. Pace United States 10 128 0.6× 94 1.1× 87 2.0× 20 0.5× 20 0.6× 21 320
David Robben Belgium 10 191 0.9× 107 1.3× 148 3.4× 132 3.6× 79 2.2× 18 404
Zezhong Ye United States 9 161 0.8× 25 0.3× 11 0.3× 21 0.6× 16 0.4× 21 224
Ying‐Hwey Nai Singapore 9 154 0.7× 50 0.6× 7 0.2× 37 1.0× 34 0.9× 23 298
Reuben Dorent United Kingdom 8 97 0.5× 29 0.3× 86 2.0× 23 0.6× 9 0.3× 21 253
Yannick Suter Switzerland 11 213 1.0× 126 1.5× 20 0.5× 54 1.5× 4 0.1× 17 392
Jhimli Mitra United States 9 139 0.7× 26 0.3× 40 0.9× 25 0.7× 11 0.3× 31 251
Yujiro Otsuka Japan 11 202 1.0× 45 0.5× 11 0.3× 37 1.0× 4 0.1× 22 335
Daniele Della Latta Italy 13 203 1.0× 42 0.5× 32 0.7× 39 1.1× 4 0.1× 34 451

Countries citing papers authored by Fabíola Macruz

Since Specialization
Citations

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

Fields of papers citing papers by Fabíola Macruz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabíola Macruz

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

All Works

11 of 11 papers shown
1.
Macruz, Fabíola, Mariana Penteado Nucci, Carolina de Medeiros Rimkus, et al.. (2024). The new era of artificial intelligence in neuroradiology: current research and promising tools. Arquivos de Neuro-Psiquiatria. 82(6). 1–12.
2.
Kim, Kyungsang, Fabíola Macruz, Dufan Wu, et al.. (2023). Point-of-care AI-assisted stepwise ultrasound pneumothorax diagnosis. Physics in Medicine and Biology. 68(20). 205013–205013. 13 indexed citations
3.
Bridge, Christopher P., Bernardo C. Bizzo, James Hillis, et al.. (2022). Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging. Scientific Reports. 12(1). 2154–2154. 12 indexed citations
4.
Macruz, Fabíola, Ana Luiza Zaninotto, Vinícius Monteiro de Paula Guirado, et al.. (2022). Longitudinal assessment of magnetization transfer ratio, brain volume, and cognitive functions in diffuse axonal injury. Brain and Behavior. 12(3). e2490–e2490. 10 indexed citations
5.
Macruz, Fabíola, Charles Lu, A. Takigami, et al.. (2022). Quantification of the Thoracic Aorta and Detection of Aneurysm at CT: Development and Validation of a Fully Automatic Methodology. Radiology Artificial Intelligence. 4(2). e210076–e210076. 16 indexed citations
6.
Zaninotto, Ana Luiza, Dante Duarte, Ellison Fernando Cardoso, et al.. (2021). DTI-derived parameters differ between moderate and severe traumatic brain injury and its association with psychiatric scores. Neurological Sciences. 43(2). 1343–1350. 3 indexed citations
7.
Bizzo, Bernardo C., Felipe Kitamura, Suely Fazio Ferraciolli, et al.. (2021). A Deep Learning–based Model for Detecting Abnormalities on Brain MR Images for Triaging: Preliminary Results from a Multisite Experience. Radiology Artificial Intelligence. 3(4). e200184–e200184. 16 indexed citations
8.
9.
Fabris, Gloria, Fabíola Macruz, Kaveh Laksari, et al.. (2020). Viscoelasticity of children and adolescent brains through MR elastography. Journal of the mechanical behavior of biomedical materials. 115. 104229–104229. 23 indexed citations
10.
Chen, Kevin T., Enhao Gong, Fabíola Macruz, et al.. (2018). Ultra–Low-Dose18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs. Radiology. 290(3). 649–656. 182 indexed citations
11.
Zaninotto, Ana Luiza, Vinícius Monteiro de Paula Guirado, Fabíola Macruz, et al.. (2018). Longitudinal changes in brain volumetry and cognitive functions after moderate and severe diffuse axonal injury. Brain Injury. 32(11). 1413–1422. 18 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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