Maheleth Llinas

1.3k total citations · 1 hit paper
8 papers, 860 citations indexed

About

Maheleth Llinas is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maheleth Llinas has authored 8 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Neurology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maheleth Llinas's work include Neurological disorders and treatments (4 papers), Advanced MRI Techniques and Applications (4 papers) and Neuroscience and Neural Engineering (3 papers). Maheleth Llinas is often cited by papers focused on Neurological disorders and treatments (4 papers), Advanced MRI Techniques and Applications (4 papers) and Neuroscience and Neural Engineering (3 papers). Maheleth Llinas collaborates with scholars based in Canada and United States. Maheleth Llinas's co-authors include Nir Lipsman, Kullervo Hynynen, Ying Meng, Yuexi Huang, Clement Hamani, Chris Heyn, Isabelle Aubert, Todd G. Mainprize, Agessandro Abrahão and Sandra E. Black and has published in prestigious journals such as Nature Communications, Brain and Neurology.

In The Last Decade

Maheleth Llinas

8 papers receiving 854 citations

Hit Papers

First-in-human trial of b... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maheleth Llinas Canada 8 482 354 271 157 101 8 860
Itay Rachmilevitch South Korea 13 654 1.4× 520 1.5× 315 1.2× 174 1.1× 113 1.1× 18 1.0k
Christopher B. Pople Canada 12 400 0.8× 242 0.7× 156 0.6× 113 0.7× 64 0.6× 21 700
Vincent Reina France 8 511 1.1× 235 0.7× 122 0.5× 78 0.5× 126 1.2× 18 839
Neekita Jikaria United States 9 336 0.7× 213 0.6× 118 0.4× 57 0.4× 89 0.9× 14 596
Maria Eleni Karakatsani United States 17 754 1.6× 367 1.0× 91 0.3× 114 0.7× 190 1.9× 31 983
Zion Zibly Israel 12 287 0.6× 135 0.4× 141 0.5× 85 0.5× 49 0.5× 40 727
Jessica F. Jordão Canada 6 861 1.8× 468 1.3× 111 0.4× 129 0.8× 221 2.2× 7 1.1k
Ko‐Ting Chen Taiwan 13 337 0.7× 181 0.5× 81 0.3× 52 0.3× 52 0.5× 49 655
Benjamin Lam United States 3 514 1.1× 260 0.7× 70 0.3× 62 0.4× 134 1.3× 5 679
Christina Lewis United States 13 183 0.4× 187 0.5× 146 0.5× 100 0.6× 101 1.0× 17 758

Countries citing papers authored by Maheleth Llinas

Since Specialization
Citations

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

Fields of papers citing papers by Maheleth Llinas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maheleth Llinas

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

All Works

8 of 8 papers shown
1.
Meng, Ying, Raymond M. Reilly, Rossanna C. Pezo, et al.. (2021). MR-guided focused ultrasound enhances delivery of trastuzumab to Her2-positive brain metastases. Science Translational Medicine. 13(615). eabj4011–eabj4011. 139 indexed citations
2.
Meng, Ying, Christopher B. Pople, Suganth Suppiah, et al.. (2021). MR-guided focused ultrasound liquid biopsy enriches circulating biomarkers in patients with brain tumors. Neuro-Oncology. 23(10). 1789–1797. 98 indexed citations
3.
Abrahão, Agessandro, Ying Meng, Maheleth Llinas, et al.. (2019). First-in-human trial of blood–brain barrier opening in amyotrophic lateral sclerosis using MR-guided focused ultrasound. Nature Communications. 10(1). 4373–4373. 350 indexed citations breakdown →
4.
Boutet, Alexandre, Manish Ranjan, Jidan Zhong, et al.. (2018). Focused ultrasound thalamotomy location determines clinical benefits in patients with essential tremor. Brain. 141(12). 3405–3414. 131 indexed citations
5.
Meng, Ying, Benjamin Solomon, Alexandre Boutet, et al.. (2018). Magnetic resonance–guided focused ultrasound thalamotomy for treatment of essential tremor: A 2‐year outcome study. Movement Disorders. 33(10). 1647–1650. 44 indexed citations
6.
Fasano, Alfonso, Maheleth Llinas, Renato P. Munhoz, et al.. (2017). MRI-guided focused ultrasound thalamotomy in non-ET tremor syndromes. Neurology. 89(8). 771–775. 66 indexed citations
7.
Fasano, Alfonso, Francesco Sammartino, Maheleth Llinas, & Andrés M. Lozano. (2016). MRI-guided focused ultrasound thalamotomy in fragile X–associated tremor/ataxia syndrome. Neurology. 87(7). 736–738. 17 indexed citations
8.
Medeiros, Cynthia de, Stephanie Rees, Maheleth Llinas, Alison S. Fleming, & David Crews. (2010). Deconstructing Early Life Experiences. Psychological Science. 21(10). 1494–1501. 15 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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