Fernando Mut

4.4k total citations
113 papers, 3.4k citations indexed

About

Fernando Mut is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fernando Mut has authored 113 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Neurology, 52 papers in Pulmonary and Respiratory Medicine and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fernando Mut's work include Intracranial Aneurysms: Treatment and Complications (67 papers), Traumatic Brain Injury and Neurovascular Disturbances (40 papers) and Cerebrovascular and Carotid Artery Diseases (36 papers). Fernando Mut is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (67 papers), Traumatic Brain Injury and Neurovascular Disturbances (40 papers) and Cerebrovascular and Carotid Artery Diseases (36 papers). Fernando Mut collaborates with scholars based in United States, Finland and Austria. Fernando Mut's co-authors include Juan R. Cebral, Christopher M. Putman, J. Weir, Rainald Löhner, Charles E. Putman, Marcelo Raschi, Esteban Scrivano, Pedro Lylyk, Bong Jae Chung and Rosana Ceratto and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Stroke.

In The Last Decade

Fernando Mut

108 papers receiving 3.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fernando Mut 2.5k 1.8k 366 356 321 113 3.4k
Marcelo A. Castro 1.7k 0.7× 1.2k 0.7× 394 1.1× 212 0.6× 172 0.5× 64 2.4k
Vitaliy L. Rayz 860 0.4× 831 0.5× 345 0.9× 207 0.6× 101 0.3× 54 1.6k
Christopher M. Putman 5.5k 2.3× 3.5k 2.0× 736 2.0× 522 1.5× 322 1.0× 132 7.0k
Philippe Reymond 674 0.3× 811 0.5× 930 2.5× 228 0.6× 164 0.5× 59 2.0k
D. Liepsch 584 0.2× 743 0.4× 622 1.7× 170 0.5× 362 1.1× 77 1.9k
Marina Piccinelli 466 0.2× 773 0.4× 539 1.5× 296 0.8× 173 0.5× 53 1.7k
Cornelis H. Slump 692 0.3× 879 0.5× 124 0.3× 1.4k 4.0× 81 0.3× 264 3.6k
Matús Straka 1.5k 0.6× 2.1k 1.2× 162 0.4× 1.4k 3.9× 50 0.2× 98 4.4k
Sung Soo Ahn 625 0.3× 934 0.5× 193 0.5× 2.3k 6.4× 17 0.1× 173 4.1k
Graham A. Wright 291 0.1× 381 0.2× 774 2.1× 2.3k 6.4× 56 0.2× 113 3.4k

Countries citing papers authored by Fernando Mut

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Mut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Mut

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Mut. A scholar is included among the top collaborators of Fernando Mut 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 Fernando Mut. Fernando Mut 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.
Mut, Fernando, et al.. (2025). Competing pathways of intracranial aneurysm growth: linking regional growth distribution and hemodynamics. Journal of neurosurgery. 142(6). 1741–1750. 2 indexed citations
2.
Cebral, Juan R., et al.. (2024). Modeling Fibrin Accumulation on Flow‐Diverting Devices for Intracranial Aneurysms. International Journal for Numerical Methods in Biomedical Engineering. 40(12). e3883–e3883. 2 indexed citations
3.
Mut, Fernando, Alexander Yu, Boyle C. Cheng, et al.. (2024). Distribution of rupture sites and blebs on intracranial aneurysm walls suggests distinct rupture patterns in ACom and MCA aneurysms. International Journal for Numerical Methods in Biomedical Engineering. 40(8). e3837–e3837. 1 indexed citations
4.
Mut, Fernando, Alexander Yu, Boyle C. Cheng, et al.. (2024). Description of the local hemodynamic environment in intracranial aneurysm wall subdivisions. International Journal for Numerical Methods in Biomedical Engineering. 40(8). e3844–e3844. 5 indexed citations
5.
Löhner, Rainald, Harbir Antil, Fernando Mut, & Juan R. Cebral. (2023). Adjoint-based estimation of sensitivity of clinical measures to boundary conditions for arteries. Journal of Computational Physics. 497. 112619–112619.
6.
7.
Mut, Fernando, et al.. (2021). Evaluation of Outcome Prediction of Flow Diversion for Intracranial Aneurysms. American Journal of Neuroradiology. 42(11). 1973–1978. 4 indexed citations
8.
Detmer, Felicitas J., Bong Jae Chung, Fernando Mut, et al.. (2019). Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics. Neurosurgical FOCUS. 47(1). E16–E16. 15 indexed citations
9.
Chung, Bong Jae, Fernando Mut, Christopher M. Putman, et al.. (2018). Identification of Hostile Hemodynamics and Geometries of Cerebral Aneurysms: A Case-Control Study. American Journal of Neuroradiology. 39(10). 1860–1866. 41 indexed citations
10.
Detmer, Felicitas J., Bong Jae Chung, Fernando Mut, et al.. (2018). Development and internal validation of an aneurysm rupture probability model based on patient characteristics and aneurysm location, morphology, and hemodynamics. International Journal of Computer Assisted Radiology and Surgery. 13(11). 1767–1779. 65 indexed citations
11.
Cebral, Juan R., Eliisa Ollikainen, Bong Jae Chung, et al.. (2016). Flow Conditions in the Intracranial Aneurysm Lumen Are Associated with Inflammation and Degenerative Changes of the Aneurysm Wall. American Journal of Neuroradiology. 38(1). 119–126. 130 indexed citations
12.
13.
Mut, Fernando, Raffaele Giubbini, João V. Vítola, et al.. (2014). Detection of post-exercise stunning by early gated SPECT myocardial perfusion imaging: Results from the IAEA multi-center study. Journal of Nuclear Cardiology. 21(6). 1168–1176. 20 indexed citations
14.
Mut, Fernando, et al.. (2013). Quantifying the Large-Scale Hemodynamics of Intracranial Aneurysms. American Journal of Neuroradiology. 35(2). 333–338. 83 indexed citations
15.
Cebral, Juan R., Fernando Mut, J. Weir, & Charles E. Putman. (2010). Quantitative Characterization of the Hemodynamic Environment in Ruptured and Unruptured Brain Aneurysms. American Journal of Neuroradiology. 32(1). 145–151. 369 indexed citations
16.
Cebral, Juan R., Fernando Mut, J. Weir, & Christopher M. Putman. (2010). Association of Hemodynamic Characteristics and Cerebral Aneurysm Rupture. American Journal of Neuroradiology. 32(2). 264–270. 351 indexed citations
17.
Alonso, Ómar, et al.. (1998). 99Tcm-MIBI scanning of the thyroid gland in patients with markedly decreased pertechnetate uptake. Nuclear Medicine Communications. 19(3). 257–262. 13 indexed citations
18.
Alonso, Ómar, et al.. (1998). Scintigraphic Evaluation of Malignant Melanoma Lesions With Tc-99m Tetrofosmin. Clinical Nuclear Medicine. 23(10). 683–685. 9 indexed citations
19.
Alonso, Ómar, et al.. (1997). Double-Phase Scanning of the Thyroid Gland With Tc-99m MIBI in a Patient With a Malignant Nodule:. Clinical Nuclear Medicine. 22(6). 413–414. 1 indexed citations
20.
Alonso, Ómar, et al.. (1996). Thyroid Imaging With Tc-99m MIBI in Patients With Solitary Cold Single Nodules on Pertechnetate Imaging. Clinical Nuclear Medicine. 21(5). 363–367. 21 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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